Technology Engineer

Cognizant

Confirmed live today High trust

Quick summary

Work type
On-site
Location
Hartford, CT
Salary
$95,000–$105,000 / yr
Posted
4 days ago
Freshness
Confirmed live today

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $157k
This role $100k
$83k $208k
below market most similar roles pay here above market

This role pays less than 92% of similar roles. Most pay $116,956–$196,187 — the blue band above. At the midpoint, this role pays about $100k versus about $157k for comparable roles.

Based on 240 similar postings.

Employer

About Cognizant

Cognizant is a multinational IT services and consulting company offering digital transformation, technology, and business process services. It serves clients across financial services, healthcare, manufacturing, and other industries worldwide.

Cognizant currently has 330 open roles on FindRole.

Listed pay typically runs $100,000–$135,000 across 211 roles with salary data.

Most-posted roles

View all roles at Cognizant

At a glance

TL;DR · Technology Engineer

The Technology Engineer joins the infrastructure team to design and implement advanced DevSecOps and AI native architectures for a global organization. The role involves building comprehensive infrastructure architectures that unify DevSecOps principles with scalable platforms supporting AI workloads across hybrid environments. Key responsibilities include developing architecture patterns for secure machine learning model training, defining reference standards for resilient components, and designing infrastructure as code workflows. The engineer will integrate threat modeling, secure configuration baselines, and automated compliance checks into pipelines. Technical requirements include establishing monitoring and observability frameworks using metrics, logs, and traces, as well as designing backup and high availability strategies. The position focuses on solving technical problems related to data protection, model integrity, and providing secure remote access architectures for hybrid work enablement.

What you'll do

  • Design infrastructure architectures that unify DevSecOps principles with scalable platforms for AI workloads.
  • Develop AI native DevSecOps patterns to secure the training and deployment of machine learning models.
  • Define and maintain DevSecOps reference architecture standards for secure and observable infrastructure components.
  • Design infrastructure as code workflows and automated testing gates to optimize continuous integration and delivery.
  • Establish monitoring and observability frameworks for AI workloads using metrics, logs, and traces.
  • Design backup, recovery, and high availability strategies to minimize downtime across hybrid environments.
  • Drive the adoption of reusable infrastructure components and shared services to reduce operational costs.
  • Evaluate emerging DevSecOps tools and recommend improvements to strengthen security controls and operational efficiency.

What we're looking for

  • Design infrastructure architectures that unify DevSecOps principles with scalable platforms supporting AI workloads.
  • Develop AI native DevSecOps architecture patterns for secure machine learning model experimentation, training, and deployment.
  • Define and maintain DevSecOps reference architecture standards for secure, observable, and resilient infrastructure components.
  • Integrate threat modeling, secure configuration baselines, and automated compliance checks into infrastructure pipelines.
  • Design infrastructure as code workflows, artifact management strategies, and automated testing gates for CI/CD.
  • Establish monitoring and observability frameworks for AI workloads using metrics, logs, and traces.
  • Design backup, recovery, and high availability strategies for on-premises and cloud environments.
  • Mentor engineering teams on secure coding for infrastructure as code and DevSecOps workflows.

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