At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at jnj.com

As guided by Our Credo, Johnson & Johnson is responsible to our employees who work with us throughout the world.  We provide an inclusive work environment where each person is considered as an individual.  At Johnson & Johnson, we respect the diversity and dignity of our employees and recognize their merit.

Job Function:

Technology Product & Platform Management

Job Sub Function:

Technical Product Management

Job Category:

Scientific/Technology

All Job Posting Locations:

Horsham, Pennsylvania, United States of America, Titusville, New Jersey, United States of America

Job Description:

About Innovative Medicine 

Our expertise in Innovative Medicine is informed and inspired by patients, whose insights fuel our science-based advancements. Visionaries like you work on teams that save lives by developing the medicines of tomorrow.  

Join us in developing treatments, finding cures, and pioneering the path from lab to life while championing patients every step of the way.  

Learn more at https://www.jnj.com/innovative-medicine 

We are searching for the best talent for our Lead, Technology Product Owner role.  This is a hybrid role available in Titusville, NJ, or Horsham, PA.

Purpose: 

As a Technical Product Owner you will play a crucial role in enhancing user experience and driving business growth through personalized digital experiences across our existing and emerging channels. You will support the development and execution of technology strategies for the Innovative Medicines North America and the Global Commercial Strategy Organization (GCSO), ensuring the development & evolution of our digital platforms to support business objectives and shape future user experiences. In this position, you will collaborate closely with business leaders, functional teams, engineers, developers, vendors, external agencies, and partners to shape the case for personalization features and functionalities, and guide technology strategy.  

Applying data-driven insights, you will partner with product teams to optimize functionalities, boost user engagement, and ensure our products effectively meet the needs of our target audiences. Your work will drive product strategy while employing and cultivating our supporting digital capabilities to increase user satisfaction, retention, and loyalty, ultimately contributing to the growth and success of our organization.  

You will be responsible for: 

Customer-Centric Innovation: Devise and complete the technology roadmap and go-to-market strategy for both branded and unbranded properties. Lead the vision, prioritization, and implementation of new technical features and enhancements to our experience products, including personalized and targeted content solutions. Implement innovative strategies that align with business needs while balancing technical feasibility with business value.  

Data Analysis & Insights Generation: Collect, analyze, and interpret user data to identify patterns and trends that inform and refine personalization strategies. Ensure that tailored experiences meet customer needs and enhance overall user engagement.  

Research & Market Trend Analysis: Stay abreast of industry trends and competitor strategies. Apply these insights to keep our products driven, innovative, and aligned with market developments.  

Product Lifecycle Management and Operational Excellence: Maintain processes, and operational structures to ensure consistent, high-quality, compliant, and timely delivery. Measure value realization throughout the product lifecycle by incorporating external benchmarks, key performance indicators, team health metrics, and product maturity assessments. Foster a data-driven, insights-oriented culture to continuously optimize product performance and team effectiveness.  

Qualifications

Required 

• Bachelor’s degree or equivalent experience in Business, Technology, Experience Design, Information Architecture, Computer Science, or a similar field.

• 4 years of technology experience.

• Experience leading strategy and development of targeted digital products and services with a proven history of delivering valuable outcomes for customer-facing digital properties for large organizations. Includes but not limited to: MVP definition, customer/market research, go-to-market strategies and budgeting.

• Ability to define, refine, and scale digital product capabilities from initial concept through launch and subsequent optimization, collaborating across multidisciplinary teams to ensure alignment with business goals and user needs.

• Experience shaping and leading cross platform solutions

• Strong problem-solving, design thinking, communication and influencing skills, including ability to drive adoption of new thinking and approaches.

• Proven track record in applying data for decision-making, delivering process improvement plans, surfacing areas of opportunity and assessing performance and value delivery.

• Deep commitment to user-centric design, encompassing UX, CX, and accessibility, underscored by strong familiarity with site architecture, design, navigation strategies, and quality assurance processes. Experience using and/or updating design systems as well as familiarity with Figma or similar tools.

• Technology solution implementation experience using Agile methodologies from concept through delivery, along with continuous improvement and operations is required. Experience with agile tools such as Jira and Confluence.

• Understanding of regulatory, compliance privacy and legal guardrails and policies.

• A drive for staying abreast of digital trends and industry advances, with a focus on continuous learning.

​

Preferred 

• Experience working with Search engine optimization, Answer engine optimization tagging, profiling & analytics is preferred.

• Experience and/or strong understanding of marketing automation platforms enhanced with AI and agentic AI tools.

• Experience in pharmaceutical or life sciences industry and related Medical Legal Regulatory (MLR) review processes.

• Experience with planning, developing, deploying, and operating marketing technology (MarTech) systems, and/or integrations that enhance product performance and increase the effectiveness of customer engagement.

Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act. 

Johnson & Johnson is committed to providing an interview process that is inclusive of our applicants’ needs. If you are an individual with a disability and would like to request an accommodation, external applicants please contact us via https://www.jnj.com/contact-us/careers , internal employees contact AskGS to be directed to your accommodation resource.

LI-Hybrid

JNJTECH

Required Skills:

Preferred Skills:

The anticipated base pay range for this position is :

$94,000.00 - $151,800.00

Additional Description for Pay Transparency:

Subject to the terms of their respective plans, employees are eligible to participate in the Company’s consolidated retirement plan (pension) and savings plan (401(k)).

Subject to the terms of their respective policies and date of hire, employees are eligible for the following time off benefits:
• Vacation –120 hours per calendar year
• Sick time - 40 hours per calendar year; for employees who reside in the State of Colorado –48 hours per calendar year; for employees who reside in the State of Washington –56 hours per calendar year
• Holiday pay, including Floating Holidays –13 days per calendar year
• Work, Personal and Family Time - up to 40 hours per calendar year
• Parental Leave – 480 hours within one year of the birth/adoption/foster care of a child
• Bereavement Leave – 240 hours for an immediate family member: 40 hours for an extended family member per calendar year
• Caregiver Leave – 80 hours in a 52-week rolling period10 days
• Volunteer Leave – 32 hours per calendar year
• Military Spouse Time-Off – 80 hours per calendar year

For additional general information on Company benefits, please go to: - https://www.careers.jnj.com/employee-benefits

Primary Work Address: 19700 Helix Drive, Ashburn, VA, 20147

Current HHMI Employees, click here to apply via your Workday account.

TLDR: Build AI methods for 3D particle detection and structural analysis in cryo-electron tomography data, applied to chromatin organization and synaptic molecular targets.

Please include a cover letter with your application. Describe a deep learning project you have executed, ideally involving 3D image analysis, inverse problems, or physics-informed modeling. Cryo-EM/ET and computational structural biology projects are especially relevant. Discuss results, limitations, and challenges encountered. If the project was collaborative, describe your specific contributions. Include links to relevant code repositories and your GitHub/Gitlab profile, personal website, or similar evidence.

*About the role:*

AI@HHMI: HHMI is investing $500 million over the next 10 years to support AI-driven projects and to embed AI systems throughout every stage of the scientific process in labs across HHMI. This role is part of the AI+CryoET project within AI@HHMI, a multi-institutional project at the intersection of cryo-electron tomography (cryoET), molecular dynamics simulation, and machine learning. The project aims to develop AI methods for mesoscale structural biology, understanding how cellular macromolecules organize into higher-order structures. You will work in a team at Janelia, with experimental and computational collaborators across the Rosen lab (UT Southwestern Medical Center/HHMI), Gouaux lab (Oregon Health and Science University/HHMI), Collepardo-Guevara lab (University of Cambridge), and Villa lab (UC San Diego/HHMI).

You will develop machine learning methods for particle detection, localization, and structural analysis in cryoET data, with two interconnected aims: (1) detecting gold nanoparticle (AuNP) probes to improve reconstruction quality and identify molecular targets; (2) identifying the arrangement and connectivity of nucleosomes in chromatin that give rise to chromosome structure in cell nuclei and biochemical reconstitutions. This involves developing supervised and self-supervised AI models based on simulated as well as annotated experimental cryoET data, informed by molecular dynamics simulations of relevant biological structures. Success in this role requires close collaboration with cryoET experts, structural biologists, and computer scientists to ensure models work in challenging real-world scenarios of a biologically not yet fully understood system.

*What we provide:*

• A competitive compensation package with comprehensive health and welfare benefits.
• A supportive team environment that promotes collaboration and knowledge sharing.
• Access to world-class computational infrastructure, GPU-based computing environments, and unique high-quality cryoET datasets.
• The opportunity to work directly with leading structural biologists, cryoET experimentalists, and molecular dynamics experts on a highly interdisciplinary project.
• The opportunity to engage with world-class researchers, software engineers, and AI/ML experts, contribute to impactful science, and be part of a dynamic community committed to advancing humanity's understanding of fundamental scientific questions.
• Amenities that enhance work-life balance, such as on-site childcare, free gyms, available on-campus housing, social and dining spaces, and convenient shuttle bus service to Janelia from the Washington, D.C. metro area.
• Opportunity to partner with frontier AI labs on scientific applications of AI. See https://www.anthropic.com/news/anthropic-partners-with-allen-institute-and-howard-hughes-medical-institute

*What you'll do:*

• Develop and evaluate deep learning models for detecting and localizing gold nanoparticles and macromolecular particles (e.g., nucleosomes, synaptic receptors) in cryoET data, and for identification of nucleosome arrangement and connectivity in chromatin.
• Develop methods to leverage gold nanoparticle detections to improve tomogram reconstruction, addressing challenges in tilt-series alignment, deformations, and low signal-to-noise conditions.
• Design and execute rigorous AI model training and evaluation pipelines, including proper handling of missing wedge artifacts, CTF effects, and sim-to-real transfer from MD-derived synthetic training data.
• Identify where additional human annotation and proofreading will be most helpful and design and guide annotation efforts.
• Contribute to scientific publications, present findings at conferences, and maintain a well-documented codebase enabling seamless reproduction and extension of results.
• Collaborate with interdisciplinary teams across multiple institutions.

What you bring:

• Master's or PhD in Computer Science, Applied Mathematics, Physics, Computational Chemistry, or a related field, or equivalent combination of education and experience.
• 3+ years training and evaluating deep learning models, particularly on 3D or volumetric image data. Experience with detection, segmentation, or inverse problems in imaging is strongly preferred.
• Strong Python skills, and proficiency in PyTorch and/or JAX. Ability to reason about neural network behavior from first principles: how architectural choices, regularization, and training procedures affect model behavior.
• Rigorous experimental design: model comparisons, ablation studies, reproducibility.
• Commitment to open science.
• Experience with scalable GPU-based computing environments on Linux HPC clusters and high-throughput processing for large-scale data.
• Excellent communication skills and keen interest in working in a truly interdisciplinary environment.

Ways to stand out:

• Experience with cryo-EM/ET data processing, tomographic reconstruction, or related inverse problems in imaging.
• Familiarity with molecular dynamics simulations (e.g., OpenMM, LAMMPS) and/or synthetic data generation for training ML models.
• Experience with differentiable rendering, neural radiance fields, or analysis-by-synthesis approaches for 3D reconstruction.
• Knowledge of cryoET software tools (IMOD, Warp, RELION, AreTomo etc.) or microscopy data formats (MRC, Zarr).
• Experience with template matching, sub-tomogram averaging, or particle picking in cryo-EM/ET contexts.

Physical Requirements:

Remaining in a normal seated or standing position for extended periods of time; reaching and grasping by extending hand(s) or arm(s); dexterity to manipulate objects with fingers, for example using a keyboard; communication skills using the spoken word; ability to see and hear within normal parameters; ability to move about workspace. The position requires mobility, including the ability to move materials weighing up to several pounds (such as a laptop computer or tablet).

Persons with disabilities may be able to perform the essential duties of this position with reasonable accommodation. Requests for reasonable accommodation will be evaluated on an individual basis.

Please Note:

This job description sets forth the job’s principal duties, responsibilities, and requirements; it should not be construed as an exhaustive statement, however.  Unless they begin with the word “may,” the Essential Duties and Responsibilities described above are “essential functions” of the job, as defined by the Americans with Disabilities Act.

Compensation Range

AI Engineer I: $96,325.60 (minimum) - $120,407.00 (midpoint) - $156,529.10 (maximum)

AI Engineer II: $123,125.60 (minimum) - $153,907.00 (midpoint) - $200,079.10 (maximum)

AI Engineer III: $149,515.20 (minimum) - $186,894.00 (midpoint) - $242,962.20 (maximum)

AI Engineer IV: $184,453.60 (minimum) - $230,567.00 (midpoint) - $299,737.10 (maximum)

Pay Type: Salary

HHMI’s salary structure is developed based on relevant job market data. HHMI considers a candidate's education, previous experiences, knowledge, skills and abilities, as well as internal consistency when making job offers. Typically, a new hire for this position in this location is compensated between the minimum and the midpoint of the salary range.

#LI-BG1

Compensation and Benefits

Our employees are compensated from a total rewards perspective in many ways for their contributions to our mission, including competitive pay, exceptional health benefits, retirement plans, time off, and a range of recognition and wellness programs. Visit our Benefits at HHMI site to learn more.

HHMI is an Equal Opportunity Employer

We use E-Verify to confirm the identity and employment eligibility of all new hires.

Current HHMI Employees, click here to apply via your Workday account.

HHMI is focused on supporting and moving science forward in a variety of different ways ranging from conducting basic biomedical research, empowering educators, inspiring students, developing the next generation of scientists – even stretching into film and media production.  Our Headquarters is in the greater Washington, DC metro area and is home to over 300 employees with expertise in investments, communications, digital production, biomedical sciences, and everything in between.  The work housed here supports and augments the groundbreaking research conducted in HHMI labs across the nation.  As HHMI scientists continue to push boundaries in laboratories and classrooms, you can be sure that your contributions while working here are making a difference.

Role Overview:

This role sits at the center of how HHMI turns AI access into AI capability.

As the AI Enablement Lead, you will serve as HHMI’s enterprise product expert and central coordination point for Claude’s suite of AI tools. You will lead the Institute’s enablement, support, and adoption efforts across Janelia Research Campus and Headquarters, ensuring employees can use Claude confidently, safely, and effectively in their day-to-day work.

You will actively shape how Claude is used across the organization. You will translate product releases into practical guidance. You will convert recurring friction into scalable resources. You will partner with IT, governance, and vendor stakeholders to ensure alignment and responsible implementation.

This role reports to the Director, AI Enablement within the EverydayAI Accelerator team in the Office of the President, and supports both Janelia Research Campus and Headquarters. This person will follow a hybrid working arrangement.

Why This Role Matters:

Behind every breakthrough at HHMI is an Institute that operates effectively enough to make that breakthrough possible. Strengthening how we work directly increases the impact our scientists can have, and building AI fluency with tools such as Claude is an important part of that effort.

This role serves as the enablement and coordination backbone for Claude at HHMI. By providing trusted expertise, structured adoption, and coordinated routing across IT, governance, and Anthropic, this role turns tool access into a sustained organizational capability.

Who Thrives in This Role:

This role is well-suited for someone who takes pride in being the person others rely on. You are comfortable operating in a fast-moving environment where features evolve and use cases are still emerging.  You build deep product knowledge, explore new releases early, and develop practical judgment about where capabilities add value. That clarity is why others trust your guidance.

You are equally effective with beginners and experienced users, adjusting your approach to support everything from prompting fundamentals to advanced Cowork workflows.

You are proactive, organized, and steady. You host office hours, share practical resources, track issues through resolution, and keep documentation current. You identify patterns in recurring friction and build scalable solutions that improve the experience for everyone.

What This Role Will Do:

Coordination, Adoption, and Rollout

• Serve as the central intake and coordination point for all Claude-related requests across HHMI, including triage, routing, escalation, and resolution tracking.

• Lead Institute-wide onboarding and structured enablement programs, including foundational prompting, advanced workflows, office hours, and targeted outreach to sustain adoption momentum.

• Track adoption and utilization trends, identify underuse patterns, and implement targeted interventions to increase measurable impact.

Support and Thought Partnership

• Troubleshoot across Claude surfaces and approved connectors using a structured diagnostic approach, escalating to IT, governance, or Anthropic as appropriate.

• Advise teams on practical, high-value workflows aligned to their operational context, partnering with the Director, AI Enablement on higher-complexity engagements.

• Monitor and evaluate new Claude product releases, feature updates, and capability expansions as they are announced, maintaining current expertise across the full Claude ecosystem to serve as HHMI's authoritative internal source on platform developments.

• Brief leadership, the EverydayAI Accelerator team, and cross-functional stakeholders on significant product changes, assessing their relevance and potential impact for HHMI workflows and recommending adoption strategies that align with Institute priorities and governance standards.

Knowledge Management and Reusable Patterns

• Build and maintain HHMI-specific quick-start guides, troubleshooting documentation, prompt libraries, workflow templates, and recommended usage patterns.

• Maintain a “release-to-enable” pipeline by testing new Claude features upon launch, documenting strengths and limitations, and rapidly updating internal guidance.

Connectors, Permissions, and Safe Enablement

• Support setup and safe use of approved connectors (e.g., Microsoft 365), including explaining data access models and permission implications.

• Partner with TSM and administrators when configuration requires administrative oversight.

• Provide clear guidance on connector types, access models, and appropriate usage across Claude surfaces. Reinforce safe usage practices for agentic workflows, particularly regarding Cowork’s file and tool access model.

• Promote responsible AI practices aligned with HHMI governance standards.

Coordination and Reporting

• Coordinate with TSM and the EverydayAI Accelerator team to ensure alignment with enterprise technology services.

• Serve as the primary enterprise contact with Anthropic for enterprise support cases, issue escalation, and product feedback.

• Provide regular reporting to the Director, AI Enablement on adoption trends, support themes, emerging risks, and recommended actions.

• Track cross-functional dependencies and ensure follow-through to resolution.

Qualifications:

Education

• Bachelor's degree or equivalent combination of education and relevant experience.

Experience

• At least two years of experience in technology enablement, product support, training, or similar enterprise-facing roles, including demonstrated success designing and delivering programs with measurable adoption impact.

• Minimum 6 months of hands-on Claude experience, with demonstrated depth in applying the platform to real workflows in an enterprise setting. Experience should reflect active, applied use, not casual experimentation.

• Experience operating in fast-moving product environments with frequent feature releases.

• Experience building scalable documentation, knowledge bases, runbooks, and reusable templates.

• Experience partnering cross-functionally with IT, governance, and vendor stakeholders preferred.

Skills and Abilities Strategic

• Strong hands-on proficiency with Claude surfaces relevant to HHMI, with the ability to stay current as features evolve and new capabilities are released.

• Working knowledge of connectors and enterprise integrations, including how Claude interacts with external tools and data, and the ability to guide users on appropriate access and permission practices.

• Strong troubleshooting and diagnostic skills, with disciplined documentation habits and clear escalation judgment when issues require vendor or technical support.

• Excellent written and verbal communication skills, including live training, small group facilitation, and creation of clear, practical documentation.

• Strong organizational skills, including queue management, follow-through, prioritization, and ongoing knowledge base maintenance.

• Ability to build credibility and visibility as a trusted product lead, serving as a clear point of contact and advocate for Claude across the Institute.

• Solid understanding of responsible AI practices, data handling considerations, and enterprise governance expectations.

• Ability to translate rapidly evolving product features into clear, practical guidance.

• Basic scripting, automation, or workflow tooling skills to support lightweight analysis and reporting preferred.

Physical Requirements:

Remaining in a normal seated or standing position for extended periods of time; reaching and grasping by extending hand(s) or arm(s); dexterity to manipulate objects with fingers, for example using a keyboard; communication skills using the spoken word; ability to see and hear within normal parameters; ability to move about workspace. The position requires mobility, including the ability to move materials weighing up to several pounds (such as a laptop computer or tablet).

Persons with disabilities may be able to perform the duties of this position with reasonable accommodation. Requests for reasonable accommodation will be evaluated on an individual basis.

Please Note:

This job description sets forth the job’s principal duties, responsibilities, and requirements; it should not be construed as an exhaustive statement, however.  Unless they begin with the word “may,” the Essential Duties and Responsibilities described above are “essential functions” of the job, as defined by the Americans with Disabilities Act. #LI-EG1

Compensation Range

$118,317.60 (minimum) - $147,897.00 (midpoint) - $192,266.10 (maximum)

Pay Type:

Annual

Compensation and Benefits

Our employees are compensated from a total rewards perspective in many ways for their contributions to our mission, including competitive pay, exceptional health benefits, retirement plans, time off, and a range of recognition and wellness programs. Visit our Benefits at HHMI site to learn more.

HHMI is an Equal Opportunity Employer

We use E-Verify to confirm the identity and employment eligibility of all new hires.

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Software Development Engineer - Test , Graphics, Games & ML

Seattle Metro Area, Washington, United StatesMachine Learning and AI

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Summary

Posted: Apr 06, 2026

Role Number:200655610

The On-Device Machine Learning team at Apple enables the Research to Production lifecycle of innovative machine learning models that power magical user experiences on Apple’s hardware and software platforms.
Apple is the best place to do on-device machine learning, and this team sits at the heart of that subject area, collaborating with research, SW engineering, HW engineering, and products. Apple's On device Machine Learning Infrastructure and Quality team is seeking a highly motivated and detail oriented software engineer to drive innovations in quality for on device intelligence.
The successful candidate will be passionate about delivering the best possible experience for our users and is continuously looking for new ways to measure and improve the quality of our software stack and infrastructure. Additionally, having the ability to switch between designing creative product usage scenarios and immersive analysis of detailed feature design will be a critical skill to possess.

Description

The Software Development Engineer- Test will interact multi-functionally with many teams across Apple, impacting all levels of the Apple’s on device machine learning stack including hardware, drivers, frameworks and developer tools.
In addition, you will develop and implement comprehensive manual /automated test plans and maintaining CI/CD presubmission pipelines. You will also be the voice of our customers, championing quality software development through each step of the development process and driving quality improvements throughout the organization.

Responsibilities

• Your primary responsibility will be to define, measure, and improve the quality of on- device machine learning technologies by developing infrastructure, automation and services which facilitate validation and qualification of these technologies.

Minimum Qualifications

• BS, MS, degree or equivalent
• 2+ years of related experience in software quality engineering
• In depth knowledge of QA practices and fundamentals
• Strong Python programming skills

Preferred Qualifications

• Experience with Machine Learning, its common practical applications, and commonly used frameworks (e.g. Keras, PyTorch, Tensorflow, Scikit-learn)

Pay & Benefits

At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $139,500 and $258,100, and your base pay will depend on your skills, qualifications, experience, and location.

Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits.

Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant.

Apple accepts applications to this posting on an ongoing basis.

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See all roles in Seattle Metro Area

At GEICO, we offer a rewarding career where your ambitions are met with endless possibilities.

Every day we honor our iconic brand by offering quality coverage to millions of customers and being there when they need us most. We thrive through relentless innovation to exceed our customers’ expectations while making a real impact for our company through our shared purpose.

When you join our company, we want you to feel valued, supported and proud to work here. That’s why we offer The GEICO Pledge: Great Company, Great Culture, Great Rewards and Great Careers.

Position Description 
Our Senior Staff Engineer works with our Staff and Sr. Engineers to innovate and build new systems, improve and enhance existing systems and identify new opportunities to apply your knowledge to solve critical problems. You will lead the strategy and execution of a technical roadmap that will increase the velocity of delivering products and unlock new engineering capabilities. The ideal candidate is a self-starter that has deep technical expertise in their domain. 

Position Responsibilities 
 As a Senior Staff Engineer, you will: 

• Provide technical leadership to multiple areas and provide technical and thought leadership to the enterprise

• Collaborate across team members and across the tech organization to solve our toughest problems

• Deliver High-Quality services and software for a variety of domains

• Accountable for the quality, usability, and performance of the solutions

• Utilize programming languages like Java, C#, or other object-oriented languages, SQL, and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of Azure/AWS/GCP tools and services

• Work on End-to-End solutions that may span front-end implementations (Flutter, Agular, React) through API tiers and Back-End domain services.

• Be a role model and mentor, helping to coach and strengthen the technical expertise and know-how of our engineering and product community. Influence and educate executives

• Consistently share best practices and improve processes within and across teams

• Analyze cost and forecast, incorporating them into business plans

• Determine and support resource requirements, evaluate operational processes, measure outcomes to ensure desired results, and demonstrate adaptability and sponsoring continuous learning

Qualifications

• Exemplary ability to design, perform experiments, and influence engineering direction and product roadmap

• Experience partnering with engineering teams and transferring research to production

• Extensive experience in leading and building full-stack application and service development, with a strong focus on SAAS products / platforms.

• Proven expertise in designing and developing microservices using graphQL, gRPC,  Java, Python, Kafka, with a deep understanding of both API and event-driven architectures.

• Proven experience designing and delivering highly-resilient event-driven and messaging based solutions at scale with minimal latency.

• Deep hands-on experience in building complex SAAS systems in large scale business focused systems, with great knowledge on Docker and Kubernetes

• Fluency and Specialization with at least two modern OOP languages such as Java, C#, C++, or Python including object-oriented design

• Familiarity and comfort with front-end technologies as well as back-end, including technologies like React, Flutter, Angular, Html, Javascript.

• Great understanding of open-source databases like MySQL, PostgreSQL, etc. And strong foundation with No-SQL databases like Cosmos, Cassandra. Apache Trino etc.

• In-depth knowledge of CS data structures and algorithms

• Ability to excel in a fast-paced, startup-like environment

• Knowledge of developer tooling across the software development life cycle (task management, source code, building, deployment, operations, real-time communication)

• Experience with Micro-services oriented architecture and extensible REST APIs

• Experience building the architecture and design (architecture, design patterns, reliability, and scaling) of new and current systems

• Experience in implementing security protocols across services and products: Understanding of Active Directory, Windows Authentication, SAML, OAuth

• Fluency in DevOps Concepts, Cloud Architecture, and DevOps Operational Frameworks

• Experience with application monitoring tools and performance assessments

• Experience in Azure Network (Subscription, Security zoning, etc.)

Experience

• 10+ years full-stack development experience (Java/C#/Python/GO), with expertise in client-side and server-side frameworks.

• 8+ years of experience with architecture and design

• 6+ years of experience in open-source frameworks

• 4+ years of experience with AWS, GCP, Azure, or another cloud service

Education

• Bachelor’s degree in Computer Science, Information Systems, or equivalent education or work experience

Annual Salary

$105,000.00 - $260,000.00

The above annual salary range is a general guideline. Multiple factors are taken into consideration to arrive at the final hourly rate/ annual salary to be offered to the selected candidate. Factors include, but are not limited to, the scope and responsibilities of the role, the selected candidate’s work experience, education and training, the work location as well as market and business considerations.

GEICO will consider sponsoring a new qualified applicant for employment authorization for this position.

The GEICO Pledge:

Great Company: At GEICO, we help our customers through life’s twists and turns. Our mission is to protect people when they need it most and we’re constantly evolving to stay ahead of their needs.

We’re an iconic brand that thrives on innovation, exceeding our customers’ expectations and enabling our collective success. From day one, you’ll take on exciting challenges that help you grow and collaborate with dynamic teams who want to make a positive impact on people’s lives.

Great Careers: We offer a career where you can learn, grow, and thrive through personalized development programs, created with your career – and your potential – in mind.  You’ll have access to industry leading training, certification assistance, career mentorship and coaching with supportive leaders at all levels.

Great Culture: We foster an inclusive culture of shared success, rooted in integrity, a bias for action and a winning mindset. Grounded by our core values, we have an an established culture of caring, inclusion, and belonging, that values different perspectives. Our teams are led by dynamic, multi-faceted teams led by supportive leaders, driven by performance excellence and unified under a shared purpose.

As part of our culture, we also offer employee engagement and recognition programs that reward the positive impact our work makes on the lives of our customers.

Great Rewards: We offer compensation and benefits built to enhance your physical well-being, mental and emotional health and financial future.

• Comprehensive Total Rewards program that offers personalized coverage tailor-made for you and your family’s overall well-being.
• Financial benefits including market-competitive compensation; a 401K savings plan vested from day one that offers a 6% match; performance and recognition-based incentives; and tuition assistance.
• Access to additional benefits like mental healthcare as well as fertility and adoption assistance.
• Supports flexibility- We provide workplace flexibility as well as our GEICO Flex program, which offers the ability to work from anywhere in the US for up to four weeks per year.

The equal employment opportunity policy of the GEICO Companies provides for a fair and equal employment opportunity for all associates and job applicants regardless of race, color, religious creed, national origin, ancestry, age, gender, pregnancy, sexual orientation, gender identity, marital status, familial status, disability or genetic information, in compliance with applicable federal, state and local law. GEICO hires and promotes individuals solely on the basis of their qualifications for the job to be filled.

GEICO reasonably accommodates qualified individuals with disabilities to enable them to receive equal employment opportunity and/or perform the essential functions of the job, unless the accommodation would impose an undue hardship to the Company. This applies to all applicants and associates. GEICO also provides a work environment in which each associate is able to be productive and work to the best of their ability. We do not condone or tolerate an atmosphere of intimidation or harassment. We expect and require the cooperation of all associates in maintaining an atmosphere free from discrimination and harassment with mutual respect by and for all associates and applicants.

At GEICO, we offer a rewarding career where your ambitions are met with endless possibilities.

Every day we honor our iconic brand by offering quality coverage to millions of customers and being there when they need us most. We thrive through relentless innovation to exceed our customers’ expectations while making a real impact for our company through our shared purpose.

When you join our company, we want you to feel valued, supported and proud to work here. That’s why we offer The GEICO Pledge: Great Company, Great Culture, Great Rewards and Great Careers.

Position Description 
 Our Staff Engineer works with our Engineers to innovate and build new systems, improve and enhance existing systems and identify new opportunities to apply your knowledge to solve critical problems. You will lead the strategy and execution of a technical roadmap modernizing our servicing organization with API first design. The ideal candidate is a self-starter that has deep technical expertise in their domain. 

Position Responsibilities 

As a Staff Engineer, you will:

• Provide technical leadership to multiple areas and provide technical and thought leadership to the enterprise

• Collaborate across team members and across the tech organization to solve our toughest problems

• Deliver High-Quality services and software for a variety of domains

• Accountable for the quality, usability, and performance of the solutions

• Utilize your expertise in designing and developing API’s and microservices using graphQL, gRPC,  Java, Python, Kafka, with a deep understanding of API first design

• Utilize programming languages like Java, C#, or other object-oriented languages, SQL, and NoSQL databases.

• Deploy applications in a hybrid cloud environment utilizing Kubernetes, various data stores, and a variety of cloud native tools and services

• Work on End-to-End solutions that may span front-end through API tiers and Back-End domain services.

• Be a role model and mentor, helping to coach and strengthen the technical expertise and know-how of our engineering and product community. Influence and educate executives

Qualifications

• Exemplary ability to design, perform experiments, and influence engineering direction and product roadmap

• Experience partnering with engineering teams and transferring research to production

• Proven expertise in API first engineering approaches, service orchestration, event driven architecture and real-time APIs including federated graphQL and gRPC implementations.

• Ability to manage schema evolution, versioning and high-performance API driven systems

• Proven experience designing and delivering highly-resilient event-driven and messaging based solutions at scale with minimal latency.

• Deep hands-on experience in building complex SAAS systems in large scale business focused systems, with great knowledge on Docker and Kubernetes

• Fluency and Specialization with Java and at least one other modern language such as C#, C++, or Python including object-oriented design

• Extensive experience in leading and building full-stack application and service development

• Great understanding of open-source databases like MySQL, PostgreSQL, etc. And strong foundation with No-SQL databases like Cosmos, Cassandra. Apache Trino etc.

• Ability to excel in a fast-paced, startup-like environment

• Experience building the architecture and design (architecture, design patterns, reliability, and scaling) of new and current systems

• Experience in implementing security protocols across services and products: Understanding of Active Directory, Windows Authentication, SAML, OAuth

Annual Salary

$100,000.00 - $230,000.00

The above annual salary range is a general guideline. Multiple factors are taken into consideration to arrive at the final hourly rate/ annual salary to be offered to the selected candidate. Factors include, but are not limited to, the scope and responsibilities of the role, the selected candidate’s work experience, education and training, the work location as well as market and business considerations.

At this time, GEICO will not sponsor a new applicant for employment authorization for this position.

The GEICO Pledge:

Great Company: At GEICO, we help our customers through life’s twists and turns. Our mission is to protect people when they need it most and we’re constantly evolving to stay ahead of their needs.

We’re an iconic brand that thrives on innovation, exceeding our customers’ expectations and enabling our collective success. From day one, you’ll take on exciting challenges that help you grow and collaborate with dynamic teams who want to make a positive impact on people’s lives.

Great Careers: We offer a career where you can learn, grow, and thrive through personalized development programs, created with your career – and your potential – in mind.  You’ll have access to industry leading training, certification assistance, career mentorship and coaching with supportive leaders at all levels.

Great Culture: We foster an inclusive culture of shared success, rooted in integrity, a bias for action and a winning mindset. Grounded by our core values, we have an an established culture of caring, inclusion, and belonging, that values different perspectives. Our teams are led by dynamic, multi-faceted teams led by supportive leaders, driven by performance excellence and unified under a shared purpose.

As part of our culture, we also offer employee engagement and recognition programs that reward the positive impact our work makes on the lives of our customers.

Great Rewards: We offer compensation and benefits built to enhance your physical well-being, mental and emotional health and financial future.

• Comprehensive Total Rewards program that offers personalized coverage tailor-made for you and your family’s overall well-being.
• Financial benefits including market-competitive compensation; a 401K savings plan vested from day one that offers a 6% match; performance and recognition-based incentives; and tuition assistance.
• Access to additional benefits like mental healthcare as well as fertility and adoption assistance.
• Supports flexibility- We provide workplace flexibility as well as our GEICO Flex program, which offers the ability to work from anywhere in the US for up to four weeks per year.

The equal employment opportunity policy of the GEICO Companies provides for a fair and equal employment opportunity for all associates and job applicants regardless of race, color, religious creed, national origin, ancestry, age, gender, pregnancy, sexual orientation, gender identity, marital status, familial status, disability or genetic information, in compliance with applicable federal, state and local law. GEICO hires and promotes individuals solely on the basis of their qualifications for the job to be filled.

GEICO reasonably accommodates qualified individuals with disabilities to enable them to receive equal employment opportunity and/or perform the essential functions of the job, unless the accommodation would impose an undue hardship to the Company. This applies to all applicants and associates. GEICO also provides a work environment in which each associate is able to be productive and work to the best of their ability. We do not condone or tolerate an atmosphere of intimidation or harassment. We expect and require the cooperation of all associates in maintaining an atmosphere free from discrimination and harassment with mutual respect by and for all associates and applicants.

At GEICO, we offer a rewarding career where your ambitions are met with endless possibilities.

Every day we honor our iconic brand by offering quality coverage to millions of customers and being there when they need us most. We thrive through relentless innovation to exceed our customers’ expectations while making a real impact for our company through our shared purpose.

When you join our company, we want you to feel valued, supported and proud to work here. That’s why we offer The GEICO Pledge: Great Company, Great Culture, Great Rewards and Great Careers.

At GEICO, we offer a rewarding career where your ambitions are met with endless possibilities.

Every day we honor our iconic brand by offering quality coverage to millions of customers and being there when they need us most. We thrive through relentless innovation to exceed our customers’ expectations while making a real impact for our company through our shared purpose.
When you join our company, we want you to feel valued, supported and proud to work here. That’s why we offer The GEICO Pledge: Great Company, Great Culture, Great Rewards and Great Careers.

Position Summary

GEICO is seeking an highly skilled Staff Engineer - Fullstack Applications with a passion for building high-performance, low maintenance, zero-downtime platforms, and applications especially optimize and resolve performance issues in our commercial insurance tech platforms. You will help drive our insurance business transformation as we transition from a traditional IT model to a tech organization with engineering excellence as its mission, while co-creating the culture of psychological safety and continuous improvement.

Position Description

Our Staff Engineer is a lead member of the engineering staff working across the organization to provide a friction-less experience to our customers and maintain the highest standards of protection and availability. Our team thrives and succeeds in delivering high-quality technology products and services in a hyper-growth environment where priorities shift quickly. The ideal candidate has broad and deep technical knowledge, typically ranging from front-end UIs through back-end systems and all points in between.

Position Responsibilities

As a Staff Engineer, you will:

· Focus on multiple areas and provide leadership to the engineering teams

· Own complete solution across its entire life cycle

· Influence and build vision with product managers, team members, customers, and other engineering teams to solve complex problems for building enterprise-class business applications

· Accountable for the quality, usability, and performance of the solutions

· Lead in design sessions and code reviews to elevate the quality of engineering across the organization

· Utilize programming languages like Python, C# or other object-oriented languages, SQL, and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of Azure tools and services

· Mentor more junior team members professionally to help them realize their full potential

· Consistently share best practices and improve processes within and across teams

Qualifications

· Fluency and specialization C# .Net and at least one additional modern object oriented language such as Java, C++, Python including object-oriented design

· Experience in building products using micro-services oriented architecture and extensible REST APIs.

· Experience building intuitive web applications using modern java script frameworks like React,Angular.

· Experience building the architecture and design (architecture, design patterns, reliability, and scaling) of new and current systems

· Experience with continuous delivery and infrastructure as code

· Fluency in DevOps Concepts and Cloud Architecture

· Experience in leveraging PowerShell scripting

· Experience with application monitoring tools and performance assessments

· Experience in security protocols and products: Understanding of Active Directory, Windows Authentication, SAML, OAuth

· In-depth knowledge of CS data structures and algorithms

· Strong problem-solving ability

· Ability to excel in a fast-paced, startup-like environment

· Ability to document and improve workflow and system topology using Microsoft Visio

· Ability to use Azure DevOps (ADO) and document task and story progress, as well as create new tasks and user stories

· Knowledge of developer tooling across the software development life cycle (task management, source code, building, deployment, operations, real-time communication)

Experience

· 6+ years of professional software development experience in C# .Net frameworks

· 4+ years of experience building fullstack applications using React or Angular JS with REST API's

· 4+ years of experience in open-source frameworks

· 3+ years of experience with architecture and design

· 3+ years of experience with AWS, GCP, Azure, or another cloud service

Education

· Bachelor’s degree in Computer Science, Information Systems, or equivalent education or work experience

Li-RP2

Annual Salary

$100,000.00 - $230,000.00

The above annual salary range is a general guideline. Multiple factors are taken into consideration to arrive at the final hourly rate/ annual salary to be offered to the selected candidate. Factors include, but are not limited to, the scope and responsibilities of the role, the selected candidate’s work experience, education and training, the work location as well as market and business considerations.

GEICO will consider sponsoring a new qualified applicant for employment authorization for this position.

The GEICO Pledge:

Great Company: At GEICO, we help our customers through life’s twists and turns. Our mission is to protect people when they need it most and we’re constantly evolving to stay ahead of their needs.

We’re an iconic brand that thrives on innovation, exceeding our customers’ expectations and enabling our collective success. From day one, you’ll take on exciting challenges that help you grow and collaborate with dynamic teams who want to make a positive impact on people’s lives.

Great Careers: We offer a career where you can learn, grow, and thrive through personalized development programs, created with your career – and your potential – in mind.  You’ll have access to industry leading training, certification assistance, career mentorship and coaching with supportive leaders at all levels.

Great Culture: We foster an inclusive culture of shared success, rooted in integrity, a bias for action and a winning mindset. Grounded by our core values, we have an an established culture of caring, inclusion, and belonging, that values different perspectives. Our teams are led by dynamic, multi-faceted teams led by supportive leaders, driven by performance excellence and unified under a shared purpose.

As part of our culture, we also offer employee engagement and recognition programs that reward the positive impact our work makes on the lives of our customers.

Great Rewards: We offer compensation and benefits built to enhance your physical well-being, mental and emotional health and financial future.

• Comprehensive Total Rewards program that offers personalized coverage tailor-made for you and your family’s overall well-being.
• Financial benefits including market-competitive compensation; a 401K savings plan vested from day one that offers a 6% match; performance and recognition-based incentives; and tuition assistance.
• Access to additional benefits like mental healthcare as well as fertility and adoption assistance.
• Supports flexibility- We provide workplace flexibility as well as our GEICO Flex program, which offers the ability to work from anywhere in the US for up to four weeks per year.

The equal employment opportunity policy of the GEICO Companies provides for a fair and equal employment opportunity for all associates and job applicants regardless of race, color, religious creed, national origin, ancestry, age, gender, pregnancy, sexual orientation, gender identity, marital status, familial status, disability or genetic information, in compliance with applicable federal, state and local law. GEICO hires and promotes individuals solely on the basis of their qualifications for the job to be filled.

GEICO reasonably accommodates qualified individuals with disabilities to enable them to receive equal employment opportunity and/or perform the essential functions of the job, unless the accommodation would impose an undue hardship to the Company. This applies to all applicants and associates. GEICO also provides a work environment in which each associate is able to be productive and work to the best of their ability. We do not condone or tolerate an atmosphere of intimidation or harassment. We expect and require the cooperation of all associates in maintaining an atmosphere free from discrimination and harassment with mutual respect by and for all associates and applicants.

At GEICO, we offer a rewarding career where your ambitions are met with endless possibilities.

Every day we honor our iconic brand by offering quality coverage to millions of customers and being there when they need us most. We thrive through relentless innovation to exceed our customers’ expectations while making a real impact for our company through our shared purpose.

When you join our company, we want you to feel valued, supported and proud to work here. That’s why we offer The GEICO Pledge: Great Company, Great Culture, Great Rewards and Great Careers.

Position Description 
Our Senior Staff Engineer works with our Staff and Sr. Engineers to innovate and build new systems, improve and enhance existing systems and identify new opportunities to apply your knowledge to solve critical problems. You will lead the strategy and execution of a technical roadmap that will increase the velocity of delivering products and unlock new engineering capabilities. The ideal candidate is a self-starter that has deep technical expertise in their domain. 

Position Responsibilities 

As a Senior Staff Engineer, you will:

• Provide technical leadership to multiple areas and provide technical and thought leadership to the enterprise

• Collaborate across team members and across the tech organization to solve our toughest problems

• Deliver High-Quality services and software for a variety of domains

• Accountable for the quality, usability, and performance of the solutions

• Utilize programming languages like Java, C#, or other object-oriented languages, SQL, and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of Azure/AWS/GCP tools and services

• Work on End-to-End solutions that may span front-end implementations (Flutter, Agular, React) through API tiers and Back-End domain services.

• Be a role model and mentor, helping to coach and strengthen the technical expertise and know-how of our engineering and product community. Influence and educate executives

• Consistently share best practices and improve processes within and across teams

• Analyze cost and forecast, incorporating them into business plans

• Determine and support resource requirements, evaluate operational processes, measure outcomes to ensure desired results, and demonstrate adaptability and sponsoring continuous learning

Qualifications

• Exemplary ability to design, perform experiments, and influence engineering direction and product roadmap

• Experience partnering with engineering teams and transferring research to production

• Extensive experience in leading and building full-stack application and service development, with a strong focus on SAAS products / platforms.

• Proven expertise in designing and developing microservices using graphQL, gRPC,  Java, Python, Kafka, with a deep understanding of both API and event-driven architectures.

• Proven experience designing and delivering highly-resilient event-driven and messaging based solutions at scale with minimal latency.

• Deep hands-on experience in building complex SAAS systems in large scale business focused systems, with great knowledge on Docker and Kubernetes

• Fluency and Specialization with at least two modern OOP languages such as Java, C#, C++, or Python including object-oriented design

• Familiarity and comfort with front-end technologies as well as back-end, including technologies like React, Flutter, Angular, Html, Javascript.

• Great understanding of open-source databases like MySQL, PostgreSQL, etc. And strong foundation with No-SQL databases like Cosmos, Cassandra. Apache Trino etc.

• In-depth knowledge of CS data structures and algorithms

• Ability to excel in a fast-paced, startup-like environment

• Knowledge of developer tooling across the software development life cycle (task management, source code, building, deployment, operations, real-time communication)

• Experience with Micro-services oriented architecture and extensible REST APIs

• Experience building the architecture and design (architecture, design patterns, reliability, and scaling) of new and current systems

• Experience in implementing security protocols across services and products: Understanding of Active Directory, Windows Authentication, SAML, OAuth

• Fluency in DevOps Concepts, Cloud Architecture, and DevOps Operational Frameworks

• Experience with application monitoring tools and performance assessments

• Experience in Azure Network (Subscription, Security zoning, etc.)

Experience

• 10+ years full-stack development experience (Java/C#/Python/GO), with expertise in client-side and server-side frameworks.

• 8+ years of experience with architecture and design

• 6+ years of experience in open-source frameworks

• 4+ years of experience with AWS, GCP, Azure, or another cloud service

Education

• Bachelor’s degree in Computer Science, Information Systems, or equivalent education or work experience

Annual Salary

$105,000.00 - $260,000.00

The above annual salary range is a general guideline. Multiple factors are taken into consideration to arrive at the final hourly rate/ annual salary to be offered to the selected candidate. Factors include, but are not limited to, the scope and responsibilities of the role, the selected candidate’s work experience, education and training, the work location as well as market and business considerations.

GEICO will consider sponsoring a new qualified applicant for employment authorization for this position.

The GEICO Pledge:

Great Company: At GEICO, we help our customers through life’s twists and turns. Our mission is to protect people when they need it most and we’re constantly evolving to stay ahead of their needs.

We’re an iconic brand that thrives on innovation, exceeding our customers’ expectations and enabling our collective success. From day one, you’ll take on exciting challenges that help you grow and collaborate with dynamic teams who want to make a positive impact on people’s lives.

Great Careers: We offer a career where you can learn, grow, and thrive through personalized development programs, created with your career – and your potential – in mind.  You’ll have access to industry leading training, certification assistance, career mentorship and coaching with supportive leaders at all levels.

Great Culture: We foster an inclusive culture of shared success, rooted in integrity, a bias for action and a winning mindset. Grounded by our core values, we have an an established culture of caring, inclusion, and belonging, that values different perspectives. Our teams are led by dynamic, multi-faceted teams led by supportive leaders, driven by performance excellence and unified under a shared purpose.

As part of our culture, we also offer employee engagement and recognition programs that reward the positive impact our work makes on the lives of our customers.

Great Rewards: We offer compensation and benefits built to enhance your physical well-being, mental and emotional health and financial future.

• Comprehensive Total Rewards program that offers personalized coverage tailor-made for you and your family’s overall well-being.
• Financial benefits including market-competitive compensation; a 401K savings plan vested from day one that offers a 6% match; performance and recognition-based incentives; and tuition assistance.
• Access to additional benefits like mental healthcare as well as fertility and adoption assistance.
• Supports flexibility- We provide workplace flexibility as well as our GEICO Flex program, which offers the ability to work from anywhere in the US for up to four weeks per year.

The equal employment opportunity policy of the GEICO Companies provides for a fair and equal employment opportunity for all associates and job applicants regardless of race, color, religious creed, national origin, ancestry, age, gender, pregnancy, sexual orientation, gender identity, marital status, familial status, disability or genetic information, in compliance with applicable federal, state and local law. GEICO hires and promotes individuals solely on the basis of their qualifications for the job to be filled.

GEICO reasonably accommodates qualified individuals with disabilities to enable them to receive equal employment opportunity and/or perform the essential functions of the job, unless the accommodation would impose an undue hardship to the Company. This applies to all applicants and associates. GEICO also provides a work environment in which each associate is able to be productive and work to the best of their ability. We do not condone or tolerate an atmosphere of intimidation or harassment. We expect and require the cooperation of all associates in maintaining an atmosphere free from discrimination and harassment with mutual respect by and for all associates and applicants.

Job Posting Title:

Sr Machine Learning Engineer

Req ID:

10142996

Job Description:

Department Description:

At Disney, we’re storytellers. We make the impossible, possible. The Walt Disney Company is a world-class entertainment and technological leader. Walt’s passion was to continuously envision new ways to move audiences around the world—a passion that remains our touchstone in an enterprise that stretches from theme parks, resorts and a cruise line to sports, news, movies and a variety of other businesses. Uniting each endeavor is a commitment to creating and delivering unforgettable experiences — and we’re constantly looking for new ways to enhance these exciting experiences.

The Enterprise Technology mission is to deliver technology solutions that align to business strategies while enabling enterprise efficiency and promoting cross-company collaborative innovation. Our group drives competitive advantage by enhancing our consumer experiences, enabling business growth, and advancing operational excellence.

Team Description:

Reporting to the Director of Automation, Tooling, and Observability within Global Network Engineering & Operations (GNEO), the Machine Learning / Software Engineer plays a critical role in designing, developing, and implementing self-healing infrastructure management systems for enterprise-wide, production environments. This role combines deep expertise in machine learning, AI technology, software engineering, and DevOps to create reusable patterns, frameworks, and services to improve reliability across Services and Platforms. The candidate will serve as a thought leader, identifying opportunities for and applying advanced analytics, predictive modeling, and AI to large-scale telemetry, changes, events and incident data to derive actionable insights. The role focuses on building, deploying, and operating machine learning models that proactively detect issues, predict failures, and drive automated, self-healing remediation across enterprise systems. The role is intentionally machine learning and AI heavy and is intended to be a strategic driver in that space.

What You’ll Do:

• Work alongside our first-class applications, infrastructure & operations teams to understand current manual processes and business requirements
• Architect, design, and implement reusable machine learning frameworks, patterns, and services that integrate into the enterprise automation and observability platforms
• Design, train, and deploy machine learning models for anomaly detection, forecasting, predictive analytics, event correlation, pattern recognition, classification, causal analysis, and more in distributed environments that can be used to surface leading indicators of failure
• Build near-real-time inference pipelines that generate actionable insights from live telemetry, including continuous streams of metrics, logs, traces, and operational events
• Create data abstractions and perform feature engineering on high-volume, high-cardinality telemetry data
• Evaluate model performance using real production signals and continuously iterate to improve accuracy and reliability
• Build closed-loop, event-driven systems where model signals trigger automated remediation actions
• Partner with infrastructure and SRE teams to identify opportunities and integrate machine learning and AI-driven insights into operational tools, workflows, and dashboards
• Analyze incident and historical data to uncover leading indicators and predictive signals
• Own the full machine learning lifecycle: experimentation, validation, deployment, monitoring, and retraining
• Breakdown targeted, manual processes into reusable software modules that leverage machine learning models
• Build emulation and simulation environments (digital twins) of the infrastructure to test AI/ML-driven automation under realistic scenarios and allow for faster ideation and iteration for architects and engineers.
• Develop algorithms and frameworks to integrate machine learning and AI technologies into our orchestration platform
• Ensure service reliability, performance, and operational uptime through code-driven solutions.
• Conduct root cause analysis, design fault-tolerant architectures, and enable self-healing automation.
• Implement monitoring dashboards and KPIs to provide visibility into automation and tooling performance.

• Collaborate with cross-functional teams including network engineers, software developers, machine learning engineers, and operations teams across the enterprise.

• Support the integration of commercial and open-source tools while maintaining a vendor-agnostic implementation

Required Qualifications & Skills:

• 7+ years of software engineering experience, with expertise in automation, machine learning, and AI technologies
• Proven hands-on experience building production-grade ML models and inference pipelines; strong proficiency with modern ML frameworks such as PyTorch, TensorFlow, Scikit-learn, etc.
• Design, train, and deploy machine learning models for anomaly detection, forecasting, predictive analytics, event correlation, pattern recognition, classification, causal analysis, and more in distributed environments that can be used to surface leading indicators of failure
• Proven hands-on experience using software to build frontend, APIs and backend functionality; strong proficiency with Python, JavaScript, TypeScript, Go, or Rust
• Build emulation and simulation environments (digital twins) of the infrastructure to test AI/ML-driven automation under realistic scenarios and allow for faster ideation and iteration for architects and engineers.
• Strong hands-on experience building and deploying event-driven or streaming data, machine learning models in production
• Solid foundation in statistics, data analysis, and applied machine learning techniques
• Experience working with large-scale, real-world datasets (noisy, incomplete, non-standardized, and evolving)
• Experience operationalizing models in distributed, production environments
• Ability to translate ambiguous operational problems into solvable machine learning use cases
• Experience with modern cloud platforms, container orchestration (Kubernetes/Docker), identity/auth frameworks, data and workflow orchestration.
• Experience with AI/ML technologies and data engineering concepts. Preferred: Proven hands-on building AI agents.
• Demonstrated success designing and building enterprise-scale systems and reusable software frameworks.
• Strong communication, collaboration and leadership skills
• Applies systems thinking to understand how individual components fit into larger, more holistic solutions.
• Capable of quickly shifting between detailed, hands-on work and high-level strategic thinking.

Preferred Qualifications:

• Certifications such as Kubernetes (CKA/CKAD), AWS/Azure/GCP certifications, CCNP/DevNet or NVIDIA AI engineer.
• Experience developing low-code/no-code automation platforms or reusable developer toolkits.
• Contributions to open-source automation, machine learning, AI, observability, or DevOps communities.
• Applying unsupervised and semi-supervised learning for anomaly detection and signal discovery
• Applying complex event processing and event correlation techniques
• Building time-series forecasting models for capacity, latency, and failure prediction
• Experience with feature stores, offline/online feature pipelines, and feature reuse
• Implementing model monitoring for drift, bias, and performance degradation
• Experience with reinforcement learning or decision models for automated remediation and optimization
• Working with real-time or near-real-time inference pipelines
• Experience labeling, curating, and managing training data derived from production telemetry
• Experience mentoring engineers, sharing knowledge, and fostering a learning culture
• Demonstrated curiosity and continuous learning mindset, with a passion for exploring emerging AI/ML, automation, and platform technologies

Required Education:

• Bachelor’s degree in Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experience

Preferred Education:

• Master’s degree in Computer Science, Engineering, or related discipline.

DISNEYTECH

The hiring range for this position in Burbank, CA is $155,700 - $208,700 per year and in Seattle is $163,100 - $218,700 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate’s geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.

Job Posting Segment:

Enterprise Technology and Data

Job Posting Primary Business:

Services and Platforms

Primary Job Posting Category:

Software Engineer

Employment Type:

Full time

Primary City, State, Region, Postal Code:

Lake Buena Vista, FL, USA

Alternate City, State, Region, Postal Code:

USA - CA - 820 S Flower St, USA - FL - Kirkman Point 1, USA - WA - 925 4th Ave

Date Posted:

2026-02-23

Job Posting Title:

Staff Data Operations Engineer

Req ID:

10141277

Job Description:

Department Description:

At Disney, we’re storytellers. We make the impossible, possible. The Walt Disney Company (TWDC) is a world-class entertainment and technological leader. Walt’s passion was to continuously envision new ways to move audiences around the world—a passion that remains our touchstone in an enterprise that stretches from theme parks, resorts and a cruise line to sports, news, movies and a variety of other businesses. Uniting each endeavor is a commitment to creating and delivering unforgettable experiences — and we’re constantly looking for new ways to enhance these exciting experiences.

The Enterprise Technology mission is to deliver technology solutions that align to business strategies while enabling enterprise efficiency and promoting cross-company collaborative innovation. Our group drives competitive advantage by enhancing our consumer experiences, enabling business growth, and advancing operational excellence.

Team Description:

This role is on the Data Platform Engineer Team. We are responsible for providing day-to-day management and oversight of the technologies/ services supporting numerous data & analytic platforms across the Enterprise. The team is responsible for data analytics domains including financial, HCM, Legal, Tax, and Intellectual Property. There are 4 distinct areas within the group, Data Integration, Data Warehouse, Data Lakes, and Analytics & Reporting on cloud-based and on-prem platforms. The ideal candidate will have deep technical expertise coupled with functional experience with the platforms assigned. Specifically, this role will work with technology partners, and business stakeholders for a group of application technologies. 

What You’ll Do:

Solution Support

• Act as the technology subject matter expert, partnering with technology stakeholders and clients to both address issues and recommend/implement enhancements
• Investigate and resolve production related issues in a timely manner from end user (UI) to persistence layer
• Identify and mitigate risks to the service delivery and proactively address and resolve issues before they impact service levels
• Drive the technical recovery of major system outages, interfacing with numerous stakeholders including external vendors or outsourced service delivery teams
• Develop and maintain technical documentation to help ensure that support can be efficiently performed and the impact of future requests can be assessed
• Monitor service performance and recommend areas of focus for continuous improvement initiatives, including application performance management
• Participate in on-call schedule or rotations (where applicable)

Vendor Management

• Oversee vendor/partners in the timely resolution of incidents/problems/requests, ensuring service level and quality targets are met.
• Gather requirements for minor enhancements and oversee the resultant product from the vendors
• Implement continuous improvement on existing technical solutions
• Drive the adoption of agile development methodologies, focusing on improving the velocity and quality of delivered work products through DevOps practices and automated testing
• Partner with the application security team on the implementation of “security by design,” ensuring that all solutions meet security standards
• Work collaboratively with other teams (QA, UX, Release Project Managers) to ensure that all project deliverables are on time and high quality
• Participate in periodic problem analysis meetings and post implementation reviews to document learnings and ensure the continuous improvement of the IT services

Engineering Support

• Design and implement technology solutions in partnership with Solution Architects, Product & Engineering Managers in support of business objectives
• Be a champion for operational excellence by ensuring technology delivery and support functions are efficient, easy to execute, simple to consume and effectively measured
• Ensure application solutions meet business expectations through capacity, performance and availability management.
• Coordinate the development and on-going maintenance of Disaster Recovery plans
• Develop and maintain the technology currency roadmap
• Help define engineering support best practices and provide technical mentorship
• Oversee the respective security and vulnerability management activities
• Research third party products and solutions to provide added business value
• Recommend and initiate New Technology analysis for application initiatives
• Maintain a moderate level of technical expertise by keeping up-to-date with the latest applicable technical changes/ knowledge
• Maintain awareness of standards, guidelines, industry trends, etc.

Required Qualifications & Skills:

• Minimum of 7 years of related work experience, to include:
• 5+ years of experience participating in the full range of development activities (including but not limited to: code deployment, load/performance testing, integration testing)
• Deep technical SAP, data pipeline, Snowflake expertise in the respective application platform/service
• Participation in formal change management processes
• Experience working within an agile framework.
• Business acumen, with deep expertise in the Finance, and HCM domain(s) as well as strong skills in the technology that supports the domain(s)
• Proven negotiating and consensus building abilities
• Experience with vendor management
• Experience with a variety of Software Development Lifecycle methodologies across waterfall and agile
• Exemplary communications skills

Leadership Skills

• A self-starter, who can effectively navigate a complex organizational structure, achieving results through influence and collaboration.
• Establish and manage effective working relationships in a matrix environment with other departments, groups and staff with whom work must be coordinated or interfaced. Comfortable influencing to achieve desired outcomes.
• A person that can decide and act without having the total picture and is comfortable handling risk and uncertainty.

Execution Skills

• HCM domain and data technical expertise will be essential, as delivery will be accomplished in a matrixed environment of internal and external partners, and suppliers.
• Practical knowledge and applied experience related to development principles. This is a hands-on position with regards to people and code.
• A practitioner of the Service Management principles and can effectively proceed through review boards and other SA activities.

Technical Skills

• Data Platforms
• SAP HANA, Snowflake, DB2, SAP BW
• AWS Service knowledge like S3, Lambda
• Data Warehouse/ Data Modeling concepts
• SQL & Java scripting
• Data Integrations
• Informatica IDMC/PowerCenter or any ETL tools
• Data Pipeline Concepts - ingestion/transformation
• Information protection/Encryption
• SAP SLT
• Application Ecosystems
• SAP S4
• SAP S4 Datasources
• BI Tools like SAP Business Object, SAP Analysis for Office, Tableau

Required Education:

• Bachelor's degree in Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experience

DISNEYTECH

The hiring range for this position in Burbank, CA is 129,300 - $173,300 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate’s geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.

Job Posting Segment:

Enterprise Technology and Data

Job Posting Primary Business:

Enterprise Products

Primary Job Posting Category:

Systems Engineer

Employment Type:

Full time

Primary City, State, Region, Postal Code:

Burbank, CA, USA

Alternate City, State, Region, Postal Code:

USA - FL - Kirkman Point 1

Date Posted:

2026-01-28