Senior Engineering Program Manager - Technical Program Management | Cloud & Distributed Systems| JIRA | Confluence | Scrum | 8-12 Years

Overview

Lead technical program management for the Webex Data Analytics Platform engineering organization, owning delivery of complex, cross-functional programs spanning microservice architecture, the data platform and engineering excellence.

What you'll do

• Lead end-to-end program and project delivery for complex, cross-functional initiatives spanning microservice architecture, data platform, and engineering excellence.
• Define roadmaps, scope, objectives, success criteria, and key milestones in collaboration with engineering and product leadership.
• Establish and improve engineering processes (design reviews, code quality, testing, CI/CD, incident response) and track KPIs for program health and delivery.
• Champion AI adoption and build high-performing engineering teams; identify use cases, prioritize initiatives, and foster a culture of continuous improvement.

What you'll need

• At least 10+ years of experience in software engineering, with 4+ years in engineering technical program management.
• Strong track record of delivering large-scale, multi-team programs in microservice and/or data-heavy environments.
• Deep experience with microservice architecture, cloud-native development, data platform and distributed systems.
• Strong oversight experience with data platforms: data pipelines, warehouses/lakes, streaming, and analytics/ML infrastructure.
• Experience defining and rolling out engineering processes (Agile/Scrum, design reviews, CI/CD, SRE practices) and driving AI/ML adoption.
• Proficiency with OKRs, KPIs, and roadmaps.
• Proficiency with program management tools such as Jira, Confluence.

Nice to have

• Ability to translate business and product requirements into technical specifications and actionable engineering roadmaps.
• Experience in regulated or high-availability domains (e.g., fintech, healthcare, enterprise SaaS).
• Familiarity with modern data stack (e.g., Spark, Kafka, dbt, Snowflake/Databricks), ML platforms, and DORA-style metrics.
• Proven ability to manage programs with budgets exceeding $1M+.
• Familiarity using AI tools (e.g., Copilot, Cursor, Codex) for productivity and team adoption.

Details

• Location: Bangalore, India.