Technical Delivery Manager

LE100 Zelis Healthcare India Private Limited; Hyderabad; On-site; INR 4,000,000 - 7,000,000; Full time

Benefits offered by this job

Hybrid work flexibility

Healthcare benefits

Financial wellness programs

Cultural celebrations

Job summary

Zelis India is seeking a Technical Program Manager – Full Stack, Cloud & AI Engineering to lead multiple cross-functional engineering pods in Hyderabad. The role requires strong hands-on depth in modern full stack practices, cloud-native platforms, DevSecOps, and practical AI experience to improve productivity, delivery, quality, and operational excellence.

The ideal candidate has 14+ years of technology leadership, with experience in .NET Core, Angular, REST APIs, cloud platforms, and modern

Qualifications

• Minimum 14+ years of technology experience with software engineering or engineering leadership.
• Strong experience managing multiple engineering pods in a complex enterprise.
• Deep understanding of full stack delivery with .NET Core / ASP.NET Core, Angular, C#, TypeScript, JavaScript, HTML/CSS.
• Experience with REST APIs, microservices, cloud-native patterns, and scalable architectures.
• Experience with AWS and/or Azure, relational databases (SQL Server, PostgreSQL, MySQL).
• CI/CD, DevSecOps, Git workflows, automated deployments, security and release governance.
• Containerization with Docker and Kubernetes; experience with event-driven systems (Kafka, SQS/SNS).
• IA/Gen AI platforms usage (GitHub Copilot, Azure OpenAI, etc.) and AI governance.

Responsibilities

• Lead multiple engineering pods delivering full stack, cloud-native apps and enterprise-grade digital solutions.
• Own end-to-end program execution across planning, design, development, testing, release and production support.
• Drive AI/Gen AI enablement to boost productivity, code quality and documentation.
• Oversee Agile, DevSecOps, and release governance with CI/CD pipelines and security scans.
• Communicate status, risks, and financial impacts to senior leadership.

Job description

About Us: Zelis is modernizing the healthcare financial experience in the United States (U.S.) across payers, providers, and healthcare consumers. We serve more than 750 payers, including the top five national health plans, regional health plans, TPAs and millions of healthcare providers and consumers across our platform of solutions. Zelis sees across the system to identify, optimize, and solve problems holistically with technology built by healthcare experts – driving real, measurable results for clients. At Zelis, AI is woven into the fabric of how we work. Every associate is expected - and empowered - to partner with AI to challenge the status quo, accelerate innovation, and amplify their impact. This is a place for builders with a growth mindset who act with agility, embrace change, and use modern technology to shape smarter solutions, exceptional experiences, and the future of our industry for our clients, customers, and our culture.

Zelis India plays a crucial role in this mission by supporting various initiatives that enhance the healthcare financial experience. The local team contributes to the development and implementation of innovative solutions, ensuring that technology and processes are optimized for efficiency and effectiveness. Beyond operational expertise, Zelis India cultivates a collaborative work culture, leadership development, and global exposure, creating a dynamic environment for professional growth.

With hybrid work flexibility, comprehensive healthcare benefits, financial wellness programs, and cultural celebrations, we foster a holistic workplace experience. Additionally, the team plays a vital role in maintaining high standards of service delivery and contributes to Zelis’ award‑winning culture.

Position Overview

Technical Program Manager – Full Stack, Cloud & AI Engineering – Hyderabad, India. Minimum 14+ years of experience. Responsible for leading and managing multiple cross‑functional engineering pod teams. Requires strong technical depth, hands‑on understanding of modern full stack engineering practices, cloud‑native platforms, DevSecOps, and practical experience using AI and Gen AI platforms to improve engineering productivity, delivery predictability, quality, and operational excellence.

Key Responsibilities

Program & Delivery Leadership

Lead multiple engineering pod teams delivering full stack, cloud‑native, and enterprise‑grade digital applications. Own end‑to‑end program execution across planning, design, development, testing, release, deployment, and production support. Drive delivery predictability across multiple pods by managing scope, schedule, dependencies, risks, milestones, and release commitments. Partner with product owners, architects, engineering managers, QA leads, DevOps teams, security teams, and business stakeholders to ensure successful execution. Establish clear operating rhythms across sprint planning, backlog refinement, architecture reviews, dependency tracking, release planning, and production readiness.

Technical Program Management

Facilitate technical design discussions across .NET Core, Angular, REST APIs, microservices, cloud platforms, databases, DevSecOps, and integration platforms. Partner with architects and senior engineers to validate solution approaches, identify architectural risks, and ensure adherence to enterprise standards. Drive technical governance across application architecture, API design, cloud integration, security, performance, observability, and deployment practices.

AI & Gen AI Enablement

Drive responsible adoption of AI and Gen AI tools across engineering pods to improve productivity, code quality, documentation, testing, and problem‑solving. Enable teams to use platforms such as GitHub Copilot, ChatGPT Enterprise, Azure OpenAI, Amazon Q, Gemini, or similar enterprise‑approved AI platforms. Identify practical AI use cases across software delivery, establish AI usage guardrails aligned with enterprise security, data privacy, and responsible AI policies. Track productivity and quality improvements resulting from AI‑enabled engineering practices.

Agile, DevSecOps & Release Governance

Lead agile execution across multiple pods using Scrum, Kanban, SAFe, or hybrid delivery models. Drive consistent sprint ceremonies, backlog hygiene, estimation practices, release planning, and execution governance. Ensure CI/CD pipelines, automated deployments, quality gates, code reviews, test automation, security scans, and release approvals are integrated into delivery workflows.

Stakeholder & Executive Communication

Provide clear, concise, and data‑driven program updates to senior leadership, including Directors, VPs, and CXO‑level stakeholders. Communicate program status, risks, dependencies, financial impacts, delivery trade‑offs, and mitigation plans with appropriate executive clarity.

Required Skills and Experience

• Minimum 14+ years of overall technology experience, with strong background in software engineering, technical delivery, program management, or engineering leadership.
• Proven experience managing multiple engineering pods or cross‑functional agile teams in a complex enterprise environment.
• Strong technical understanding of full stack application delivery using .NET Core / ASP.NET Core, Angular, C#, TypeScript, JavaScript, HTML, and CSS.
• Solid understanding of REST APIs, microservices, backend services, cloud‑native application patterns, and scalable web architectures.
• Experience working with AWS and/or Azure cloud platforms.
• Strong understanding of relational databases such as SQL Server, PostgreSQL, or MySQL.
• Good understanding of application security, authentication, authorization, identity management, logging, monitoring, and performance optimization.
• Experience with CI/CD pipelines, DevSecOps practices, Git‑based workflows, automated deployment, and production release governance.
• Working knowledge of containerization and orchestration platforms such as Docker and Kubernetes.
• Familiarity with event‑driven systems and messaging platforms such as Azure Service Bus, AWS SQS/SNS, Kafka, or RabbitMQ.
• Experience with Infrastructure as Code tools such as Terraform, ARM templates, Bicep, or AWS CloudFormation.
• Practical experience using AI or Gen AI platforms such as GitHub Copilot, ChatGPT, Azure OpenAI, Amazon Q, Gemini, or equivalent tools.
• Strong understanding of agile delivery models, sprint execution, roadmap planning, dependency management, and engineering metrics.
• Ability to challenge technical assumptions, identify delivery risks, and drive resolution across engineering, product, QA, DevOps, security, and business teams.
• Excellent communication skills with ability to engage senior leadership and technical teams with equal effectiveness.

Preferred Technical Capabilities

• Prior hands‑on software engineering experience before moving into technical program management or engineering leadership.
• Experience managing enterprise‑scale modernization, cloud migration, platform transformation, or digital product engineering programs.
• Exposure to regulated industries such as healthcare, fintech, insurance, life sciences, or other compliance‑heavy environments.
• Strong understanding of enterprise architecture governance, security reviews, audit requirements, and compliance controls.
• Experience with observability platforms, production support models, SRE practices, and incident management.
• Experience implementing AI‑assisted SDLC practices across large engineering teams.
• Understanding of responsible AI, AI governance, data privacy, secure prompt usage, and enterprise AI adoption frameworks.

Leadership & Soft Skills

• Strong ownership mindset with ability to operate independently in a senior leadership‑facing role.
• Excellent stakeholder management, negotiation, and conflict‑resolution skills.
• Ability to lead multiple teams through ambiguity, changing priorities, and complex dependencies.
• Strong analytical and problem‑solving skills.
• Ability to balance delivery speed with technical quality, security, scalability, and maintainability.
• Strong communication skills with ability to simplify complex technical issues for executive audiences.
• Ability to mentor pod leads, scrum masters, technical leads, and engineering teams on delivery discipline and engineering best practices.
• Strong execution discipline with focus on measurable outcomes, delivery transparency, and continuous improvement.

AI Platform Expectations

• Hands‑on proficiency using AI platforms to improve engineering productivity across multiple pod teams.
• Assist with code review, code generation, and refactoring analysis.
• Generate unit test cases and improve test coverage.
• Support API documentation, architecture documentation, and technical design documentation.
• Analyze technical designs, logs, defects, and production issues for faster triage.
• Identify security, performance, and maintainability concerns in application delivery.
• Build reusable AI‑enabled workflows for engineering teams.
• Promote responsible AI adoption in alignment with enterprise policies.
• Ensure AI tools are used as productivity accelerators while preserving engineering accountability, security, and compliance.

Commitment to Diversity, Equity, Inclusion, and Belonging

At Zelis, we champion diversity, equity, inclusion, and belonging in all aspects of our operations. We embrace the power of diversity and create an environment where people can bring their authentic and best selves to work. We know that a sense of belonging is key to your success at Zelis and to your ability to bring your best each day.

Equal Employment Opportunity

Zelis is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Accessibility Support

We are dedicated to ensuring our application process is accessible to all candidates. If you are a qualified individual with a disability and require reasonable accommodation with any part of the application and/or interview process, please email [e-mail].

Recruitment Process Transparency

We maintain a transparent, fee‑free recruitment process. All genuine offers originate from our Talent Acquisition team using the “@zelis.com” domain. We do not use WhatsApp or personal emails for recruitment. Forward any suspected fraud to verify‑[e-mail] for prompt investigation.