Senior Java Engineer, AI Platform & AWS

Cognizant

Confirmed live yesterday High trust
Hybrid

Quick summary

Work type
Hybrid
Location
Mclean, VA
Salary
$83,000–$132,000 / yr
Posted
3 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $180k
This role $108k
$67k $229k
below market most similar roles pay here above market

This role pays less than 95% of similar roles. Most pay $149,500–$211,200 — the blue band above. At the midpoint, this role pays about $108k versus about $180k 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 397 open roles on FindRole.

Listed pay typically runs $100,000–$135,000 across 262 roles with salary data.

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View all roles at Cognizant

At a glance

TL;DR · Senior Java Engineer, AI Platform & AWS

As a Senior Java Engineer with AI Platform & AWS - Hybrid, you will join the team to develop modular, scalable Java and Springboot microservices that power AI lifecycle workflows. Your daily responsibilities include implementing robust APIs for data scientists, automating build and deployment pipelines using DevOps methods, and configuring AWS services to host AI workloads. You will collaborate with data and product teams to translate requirements into technical designs, conduct code reviews, and optimize service performance for growing AI workloads. The role requires extensive expertise in Java, Springboot, and AWS, alongside Agile delivery experience. You will solve technical challenges related to model training, deployment, and governance, specifically applying domain knowledge in commercial lending to align platform capabilities with credit processes and financial product workflows.

What you'll do

  • Develop modular and scalable Java and Springboot microservices to power AI lifecycle workflows.
  • Implement robust APIs and service integrations for data scientists to deploy and monitor AI models.
  • Automate build, test, and deployment pipelines for AI components on AWS using DevOps methods.
  • Configure AWS services to host microservices with a focus on security and resilient failover.
  • Enhance platform observability through logging, metrics, and alerting to track AI workload performance.
  • Conduct code reviews and refactoring to maintain high standards of code quality and test coverage.
  • Optimize service performance by tuning microservice configurations and AWS infrastructure settings.
  • Ensure security controls for AI data and services, including authentication and authorization.

What we're looking for

  • Extensive expertise in Java and Springboot with microservices design experience for AI workloads.
  • Six to ten years of software engineering experience.
  • Experience applying Agile delivery practices to coordinate sprints and refine backlogs.
  • DevOps skills to design CI/CD pipelines and manage automated testing.
  • AWS knowledge to select cloud services and manage performance for AI-enabled microservices.
  • Experience in the commercial lending domain (preferred).
  • Strong problem-solving skills and attention to detail.
  • Clear communication and collaboration abilities for a work-from-office day shift environment.

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