23 hours ago
Base Salary
$165k - $194k/yr
Responsibilities
- Lead end-to-end mainframe modernization engagements from discovery and dependency analysis through architecture, transformation, cloud migration, cutover, and stabilization.
- Define modernization strategies and roadmaps spanning rehost, replatform, refactor, re-architect, and replace approaches.
- Apply generative AI and AI-enabled engineering tools to code comprehension, conversion, documentation, testing, estimation, and productivity.
- Provide technical architecture and governance, including modernization patterns, cloud-native design, AI tool selection, responsible-AI guardrails, and validation of AI-generated code.
- Develop reusable modernization accelerators and intellectual property, mentor consulting and engineering teams, lead client workshops, and contribute to thought leadership and go-to-market initiatives.
- Engage senior client stakeholders, lead cross-functional teams, manage technical risks, and communicate business value and ROI.
Requirements
- 12+ years of hands-on experience with mainframe applications and technologies such as COBOL, JCL, VSAM, DB2, CICS, IMS, and/or Assembler, including Technical Lead or Architect experience on complex modernization programs.
- Proven delivery of end-to-end mainframe modernization involving code conversion, application decomposition, API enablement, data migration, cloud migration, cutover, and go-live.
- Hands-on experience using generative AI and LLM-enabled capabilities for code comprehension, business-rule extraction, code conversion or refactoring, documentation, test generation, and AI-assisted estimation.
- Strong knowledge of mainframe modernization, cloud, and engineering platforms including IBM z/OS Connect, AWS Mainframe Modernization, Micro Focus/OpenText, Heirloom, Raincode, Docker, Kubernetes, and a major cloud platform.
- Strong consulting and client-facing experience architecting complex transformation solutions, engaging senior stakeholders, leading cross-functional teams, managing technical risks, and explaining business value.
- Experience designing AI-assisted code-conversion pipelines, prompt engineering, LLM evaluation, accuracy benchmarking, output-quality controls, responsible-AI practices, and human-in-the-loop validation is preferred.
- Experience developing AI-enabled modernization accelerators or intellectual property is preferred.
- Understanding of cloud-native architecture, application portfolio rationalization, DevOps, MLOps, containerization, microservices, service mesh, and TOGAF is preferred.
- Experience across insurance, banking and financial services, healthcare, or retail modernization programs is preferred.
- Relevant AWS, Azure, Google Cloud, Azure AI, AWS AI/ML, or TOGAF certifications are preferred.
Benefits
- Remote position open to qualified applicants in the United States, with some travel involved and arrangements subject to project and client requirements.
- Medical, dental, vision, and life insurance.
- 401(k) plan and contributions, employee stock purchase plan, and employee assistance program.
- Ten paid holidays plus PTO.
- Paid parental leave and fertility assistance.
- Learning, development, certification, and wellbeing programs.
- Eligible for a discretionary annual incentive program based on performance.
Tech Stack
Categories
Solutions Engineering
About Cognizant
Cognizant is a public IT services and consulting firm that designs, builds, and runs enterprise technology, including digital engineering, cloud modernization, data/AI, and managed services. It sells consulting, systems integration, and outsourcing on multi-year engagements to large enterprises in healthcare, banking, retail, communications, and manufacturing. Founded in 1994 and headquartered in Teaneck, New Jersey, Cognizant is NASDAQ-listed (CTSH) and a Fortune 500 company.