Cognizant

Senior Software Engineer (Java, Python and Gen AI)

Cognizant$100K — $140K *
Information Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • 8-12 years of software engineering with production-grade solutions
  • Strong proficiency in Java and Python, with multithreading and asynchronous programming
  • Experience with AI agents or intelligent automation solutions
  • Understanding of object-oriented design, data structures, and microservices
  • Familiarity with RESTful services and CI/CD pipelines involving automated testing

Responsibilities

  • Design and build AI agent-based services using Python and Java
  • Develop modular microservices for secure interaction between AI agents and enterprise systems
  • Create technical designs and data models for AI agent interactions
  • Optimize application performance and reliability across various workloads
  • Implement automated testing and monitoring frameworks
  • Collaborate with cross-functional teams to refine requirements and deliver solutions
  • Troubleshoot production issues using logs and metrics

Benefits

  • Medical/Dental/Vision/Life Insurance
  • Paid holidays plus Paid Time Off
  • 401(k) plan and contributions
  • Long-term/Short-term Disability
  • Paid Parental Leave
  • Employee Stock Purchase Plan
Full Job Description
As a Senior Software Engineer (Java, Python and Gen AI), you will make an impact by designing and delivering scalable AI-driven solutions that automate complex business workflows and improve operational efficiency across enterprise applications. You will be a valued member of the engineering team and collaborate closely with product owners, architects, quality engineers, and operations teams.

In this role, you will:
  • Design and build AI agent-based services using Python and Java to automate complex, business-critical workflows
  • Develop modular microservices and integration components enabling secure, scalable interaction between AI agents and enterprise systems
  • Create technical designs, sequence flows, and data models to define how AI agents interact with APIs, backend platforms, and user-facing channels
  • Optimize application performance, reliability, and scalability to ensure consistent response times under varying workloads
  • Implement automated testing, monitoring frameworks, and secure coding practices to improve system quality, observability, and resilience

Work model

We strive to provide flexibility wherever possible. Based on this role's business requirements, this is a remote position open to qualified applicants in city, state. Regardless of your working arrangement, we are here to support a healthy work-life balance through our various wellbeing programs. .

Work Authorization: *Candidate must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future*

What you need to have to be considered:
  • 8-12 years of hands-on software engineering experience delivering production-grade solutions using modern architectures
  • Strong proficiency in Java and Python, including multithreading, asynchronous programming, and data store integration
  • Experience building or integrating AI agents or intelligent automation solutions interacting with APIs, messaging systems, or workflows
  • Solid understanding of object-oriented design, data structures, algorithms, and microservices architecture
  • Experience with RESTful services, event-driven systems, and CI/CD pipelines with automated testing and version control

These will help you stand out:
  • Experience in cards, payments, or financial services domains, including transaction flows, authorization, and settlement
  • Familiarity with monitoring, logging, and observability frameworks for distributed systems
  • Experience implementing secure coding practices, input validation, and data protection controls
  • Strong troubleshooting skills with the ability to analyze logs, metrics, and traces to resolve complex production issues
  • Ability to communicate complex technical concepts clearly to both technical and non-technical stakeholders

Responsibilities:
• Design and build AI agent-based services using Python and Java to automate complex, business-critical workflows
• Develop modular microservices and integration components enabling secure and scalable interaction between AI agents and enterprise systems
• Create detailed technical designs, including sequence flows and data models, defining how AI agents interact with backend platforms and user-facing channels
• Optimize application performance, reliability, and scalability to ensure consistent response times under varying workloads
• Implement automated testing (unit, integration, and component) and reusable frameworks for logging, monitoring, and observability
• Collaborate cross-functionally with product owners, architects, and quality engineers to refine requirements and deliver robust solutions
• Troubleshoot complex production issues using logs, metrics, and traces, and implement durable fixes to improve system stability
• Apply secure coding practices, input validation, and error handling to protect sensitive customer and transaction data
• Participate in code reviews and design discussions to elevate code quality, maintainability, and security standards
• Support deployments, monitor system performance, and continuously improve services based on production telemetry and user feedback

Qualifications
• 8-12 years of hands-on software engineering experience delivering production-grade solutions using modern architectures
• Strong proficiency in Java and Python, including multithreading, asynchronous programming, and data store integration
• Experience building or integrating AI agents or intelligent automation solutions interacting with APIs, messaging systems, or workflows
• Solid understanding of object-oriented design, data structures, algorithms, and microservices architecture
• Experience with RESTful services, event-driven architectures, and CI/CD pipelines with automated testing and version control

Salary and Other Compensation:

Applications will be accepted until June 30th, 2026
The annual salary for this position is between $100,000 - $140,000 depending on the experience and other qualifications of the successful candidate.
This position is also eligible for Cognizant's discretionary annual incentive program and stock awards, based on performance and subject to the terms of Cognizant's applicable plans.

Benefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:
Medical/Dental/Vision/Life Insurance
Paid holidays plus Paid Time Off
401(k) plan and contributions
Long-term/Short-term Disability
Paid Parental Leave
Employee Stock Purchase Plan

Disclaimer: The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.

Additional employment information
Compensation information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.

Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.

About Cognizant

TriZetto is Powering Integrated Healthcare Management. With technology solutions touching more than half the U.S. population today, TriZetto is uniquely positioned to drive the convergence of core benefit administration, care management and constituent engagement. TriZetto provides premier information technology solutions that enable payers and other constituents in the healthcare supply chain to improve the coordination of benefits and care for healthcare consumers.

Cognizant Careers

Join the vibrant team at Cognizant, a leading provider of information technology, consulting, and business process services. Cognizant is not just a company; it's a community where innovation, leadership, and diversity are valued and where every team member is encouraged to thrive.

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Learn more about Cognizant
Size
340,400 employees
Market Cap
$28.7 billion
Industry
Net Income
$1.3 billion
Founded
1994
5 Year Trend
+6.5%
Revenue
$16.6 billion
NASDAQ

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