Lead Software Engineer, Python, AIML, Cloud

JPMorgan Chase

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Quick summary

Work type: On-site
Location: Jersey City, NJ
Employment: Full-time
Posted: 3 days ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

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How this pay compares to similar roles

Similar $197k

$141k $252k

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About JPMorgan Chase

JPMorgan Chase & Co. is a global financial services firm and one of the largest banks in the world, offering investment banking, commercial banking, asset management, and consumer financial services.

JPMorgan Chase currently has 1219 open roles on FindRole.

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At a glance

TL;DR · Lead Software Engineer, Python, AIML, Cloud

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The Lead Software Engineer – Python, AIML, Cloud joins the engineering team to design, develop, and troubleshoot software solutions for complex business challenges. This role involves writing secure production code, leading architectural design sessions, and providing technical guidance for on-premises and cloud systems. Key responsibilities include integrating AI/ML solutions into domain-specific operations processing systems, automating issue remediation, and leading agile planning sessions. The candidate must possess advanced proficiency in Python and experience building applications on AWS. Required skills include expertise in system design, data processing pipelines using Directed Acyclic Graphs, and the full Software Development Life Cycle. Technical competencies include knowledge of MLOps, LLMOps, Kubernetes, Docker, Kafka, and databases like Postgres and OpenSearch. The role specifically addresses technical problems within the financial services industry.

Skills

Python AWS Terraform Kubernetes Docker OpenSearch Kafka S3 SageMaker Bedrock MLOps LLMOps Agile DAGs EKS System Design Software Development Life Cycle Event-driven systems

What you'll do

Design, develop, and troubleshoot software solutions for complex business challenges.
Write secure, high-quality production code and perform peer code reviews.
Develop and maintain applications using Python and AWS.
Lead architectural design sessions for on-premises and cloud systems.
Identify and automate the remediation of recurring issues to improve system stability.
Integrate AI/ML solutions into domain-specific operations processing systems.
Create and review architecture and design deliverables following industry best practices.
Collaborate with Site Reliability Engineering to ensure system reliability and performance.

What we're looking for

Formal training or certification on software engineering concepts and 5+ years of applied experience.
Strong experience building and running applications on AWS or other public cloud platforms.
Advanced proficiency in Python programming.
Proven experience in system design, application development, testing, and maintaining operational stability.
Skilled in automation, continuous delivery, and the full Software Development Life Cycle.
Experience with data processing pipelines and Directed Acyclic Graphs (DAGs) for machine learning or data workflows.
Demonstrated expertise in cloud, artificial intelligence, and machine learning technologies.
Understanding of IT systems in the financial services industry.
Experience with code reviews and agile methodologies.
Ability to communicate technical concepts clearly to both technical and non-technical stakeholders.
Experience with Cloud services, Infrastructure as Code (e.g., Terraform), and containerized application development (preferred).
Familiarity with Postgres, OpenSearch, S3, SageMaker, and Bedrock (preferred).
Practical experience with Kubernetes, EKS, Docker, Kafka, MLOps, LLMOps, and event-driven systems (preferred).
Knowledge of security best practices in cloud and application development (preferred).
Experience integrating AI/ML models into production environments (preferred).
Ability to mentor and guide junior engineers (preferred).

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