Technical project manager

Job Description:

10–14 years of experience in managing and delivering large-scale enterprise applications, with a strong track record of end-to-end program ownership. Proven experience delivering enterprise-grade applications built on Java/J2 EE, Spring Boot, Microservices, and Node.js based technology stacks. Strong experience managing application delivery on AWS Cloud, with a working understanding of key AWS services such as EC2, Lambda, ECS/EKS, RDS, S3, and API Gateway from a delivery and deployment standpoint. Experience managing complex projects with strong NFR considerations — scalability, performance, availability, and fault tolerance — from a delivery planning and governance perspective. Product background is a must — prior experience delivering enterprise products or product-based platforms, with exposure to product lifecycle, roadmap execution, feature prioritization, and productization mindset. Strong expertise in Agile, Scrum, and SAFe delivery methodologies, with hands-on experience running sprints, releases, and program-level ceremonies. Proven experience in defining project and delivery plans, resource allocation, effort estimation, and release planning across multiple workstreams. Strong track record of managing project KPIs, delivery health metrics, budget tracking, risks, dependencies, and escalations. Excellent stakeholder management skills, with the ability to engage confidently with senior business, product, and technology leaders. Strong communication skills for driving status updates, executive reporting, ROI discussions, and change management conversations. Familiarity with modern Dev Ops practices, CI/CD pipelines, and containerized deployments (Docker, Kubernetes) from a delivery oversight standpoint.

Good to Have

Exposure to Generative AI / Agentic AI based solutions, including understanding of LLMs, RAG architectures, and enterprise AI adoption patterns from a delivery management perspective. Experience managing Gen AI-based product implementations or AI-enabled feature rollouts within enterprise environments. Exposure to data-driven products, analytics platforms, or AI/ML-driven solutions.

Roles & Responsibilities

Lead end-to-end project delivery of large-scale enterprise applications — covering scoping, planning, execution, governance, and closure — using Agile, Scrum, or SAFe frameworks. Own the definition of the project and delivery plan for each assignment, including milestones, release strategy, resource allocation, and dependency management. Collaborate with cross-functional teams (developers, QA, Dev Ops, Product, and Architects) to ensure smooth delivery of Java/J2 EE and cloud-native solutions on AWS. Oversee delivery of AWS-based application deployments, coordinating environment readiness, release management, and production rollout activities with engineering and Dev Ops teams. Partner closely with Product Management to align delivery priorities with product roadmap, business outcomes, and customer needs — ensuring a product-first delivery mindset. Manage project risks, dependencies, scope changes, and timelines for high-volume enterprise systems, ensuring predictable and reliable delivery. Run structured project governance — status meetings, backlog reviews, milestone reviews, and delivery KPI tracking — to keep programs on track. Drive stakeholder communication including progress reports, executive updates, change requests, and ROI discussions, ensuring alignment with SLAs and business KPIs. Ensure timely resource allocation, staffing, and capacity planning across assignments based on program needs. Continuously improve delivery efficiency by leveraging tools like Jira/Confluence, tracking metrics (velocity, defect rates, cycle time), and incorporating lessons learned. Support pre-sales, effort estimation, and staffing conversations as needed for new assignments. Mentor project leads and delivery teams while fostering a culture of accountability, ownership, and execution excellence.