About Impetus Technologies :

Impetus Technologies is a global digital engineering company focused on helping enterprises solve complex data, AI, cloud, and application modernization challenges. Founded in 1991 and headquartered in the United States, Impetus has a long heritage in product engineering and enterprise technology, with a global team of 3,100+ members and delivery presence across India and international markets. The company works with leading enterprises, including Fortune 100 organizations, to build modern, scalable and data-driven technology solutions.

Today, Impetus combines cloud and data engineering with enterprise AI and agentic AI capabilities. Its portfolio spans cloud engineering, data engineering, enterprise AI, application/workload modernization and product-oriented engineering. Impetus is an AWS Premier Tier Services Partner and has deep ecosystem relationships across platforms such as Databricks and Snowflake. The company also develops accelerators and solutions for enterprise modernization, observability and AI adoption.

Role Overview :

We are seeking an accomplished Program Manager to lead large-scale, complex enterprise application programs spanning product engineering, cloud, and modern application platforms. The role will own delivery outcomes end-to-end - from scoping and planning through execution, governance, release and closure - while partnering closely with Product, Engineering, Architecture, QA, DevOps and senior client/business stakeholders. The ideal candidate combines strong program governance with a product engineering mindset and sufficient technical depth to effectively oversee Java/J2EE, Spring Boot, Microservices, Node.js and AWS-based solutions.

Experience & Exposure Required :

- 14+ years of experience managing and delivering large-scale enterprise applications, with strong end-to-end program ownership.

- Proven experience delivering enterprise-grade applications using Java/J2EE, Spring Boot, Microservices and Node.js technology stacks.

- Strong experience managing application delivery on AWS Cloud, with working knowledge of EC2, Lambda, ECS/EKS, RDS, S3 and API Gateway from a delivery and deployment standpoint.

- Experience managing complex projects with strong NFR considerations including scalability, performance, availability and fault tolerance from delivery planning and governance perspectives.

- Product background is mandatory - experience delivering enterprise products or product-based platforms, with exposure to product lifecycle, roadmap execution, feature prioritization and a productization mindset.

- Strong expertise in Agile, Scrum and SAFe delivery methodologies, with hands-on experience running sprints, releases and program-level ceremonies.

- Proven experience defining project and delivery plans, resource allocation, effort estimation and release planning across multiple workstreams.

- Strong track record managing project KPIs, delivery health metrics, budget tracking, risks, dependencies and escalations.

- Excellent stakeholder management skills, with confidence engaging senior business, product and technology leaders.

- Strong communication skills for executive reporting, status updates, ROI discussions and change management.

Good to Have :

- Exposure to Generative AI / Agentic AI solutions, including 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 project and delivery plan for each assignment, including milestones, release strategy, resource allocation and dependency management.

- Collaborate with developers, QA, DevOps, Product and Architecture teams to ensure smooth delivery of Java/J2EE and cloud-native solutions on AWS.

- Oversee AWS-based application deployments by coordinating environment readiness, release management and production rollout activities with Engineering and DevOps.

- 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 including status meetings, backlog reviews, milestone reviews and delivery KPI tracking.

- 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 through Jira/Confluence, delivery metrics such as velocity, defect rates and cycle time, and lessons learned.

- Support pre-sales, effort estimation and staffing discussions for new assignments.

- Mentor project leads and delivery teams while fostering accountability, ownership and execution excellence.

Technology & Delivery Landscape :

- Application : Java/J2EE - Spring Boot - Microservices - Node.js

- Cloud : AWS - EC2 - Lambda - ECS/EKS - RDS - S3 - API Gateway

- Engineering : Docker - Kubernetes - CI/CD - DevOps

- Delivery : Agile - Scrum - SAFe - Jira - Confluence

- Emerging : GenAI - Agentic AI - LLMs - RAG - AI/ML - Data & Analytics

What Success Looks Like :

- Predictable delivery across multiple enterprise application workstreams and releases.

- Strong alignment between product roadmap, engineering execution and business outcomes.

- Transparent program governance with actionable KPIs, risks, dependencies and financial visibility.

- High-quality production releases meeting agreed SLAs, NFRs, timelines and stakeholder expectations.

- Continuous improvement in delivery velocity, quality, efficiency and team accountability.