Technical Project Manager

Role: Technical Project Manager
Exp: 10 to 15 yrs
Location: Bengaluru
Notice: Immediate to 15 days

Experience & Exposure Required
• 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/J2EE Spring Boot Microservices and 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 DevOps 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 GenAI-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 DevOps Product and Architects) to ensure smooth delivery of Java/J2EE 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 DevOps 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.