Lead a technical program spanning product integration and AWS-to-GCP migration across distributed engineering teams. Translate initiatives into workstreams, milestones, dependencies, and execution plans; coordinate engineering, testing, data validation, reconciliation, parallel runs, and production cutover. Manage roadmaps, risks, issues, and delivery commitments while communicating progress and decisions to stakeholders and senior management. Support architecture, API, database, cloud, and technical blocker resolution, including AI-assisted delivery improvements.
We are looking for a Technical Program Manager to lead product integration and an AWS-to-GCP cloud migration across distributed engineering teams.
The mandatory requirements are 10+ years of relevant experience, technical program leadership, strong AWS and GCP knowledge, and experience with complex cloud migration programs.
RECRUITMENT PROCESS
1. Application — Share a few details about your experience and background.
2. Coding Challenge — If applicable, complete it in the coding language you are most comfortable with.
3. Video Interview — Record a short video introduction in English.
4. Technical Interview or Hiring Manager Interview — Discuss your experience and fit for the role.
5. Offer — If it’s a match, you’ll receive an offer.
WHAT YOU’LL GAIN
- Remote work — Work from where you feel most productive.
- Local presence in India — Work in a structured and compliant environment aligned with Indian regulations.
- Competitive compensation in INR — Receive compensation in INR, plus support for learning, education, and wellness.
- Exciting projects — Work with modern technologies for global clients and fast-growing companies.
MUST HAVES
- 10+ years of experience with strong technical program management, technical delivery, engineering leadership, or a comparable technical role.
- Proven experience leading complex technology programs involving multiple engineering teams and significant technical dependencies.
- Strong technical understanding of software systems, architecture, components, APIs/integrations, databases, and engineering delivery processes.
- Practical understanding of cloud platforms, particularly AWS and GCP, including how AWS services map to GCP services.
- Experience participating in or leading cloud migration programs; hands-on AWS-to-GCP migration experience is highly desirable.
- Ability to break down high-level programs into detailed technical workstreams, milestones, dependencies, and execution plans.
- Experience coordinating testing, validation, parallel runs, data reconciliation, release/cutover activities, and production readiness in complex technology programs.
- Strong ownership, follow-through, risk management, issue escalation, stakeholder communication, and executive reporting skills.
- Upper-intermediate English level.
NICE TO HAVES
- Experience with GCP services and data platforms such as BigQuery.
- Familiarity with React-based applications and modern web product integration.
- Familiarity with Python and data/modeling workloads.
- Experience in Sustainability & Climate, physical risk, geospatial/data products, or the investment/financial-services domain.
- Experience working with geographically distributed engineering organizations across India and North America.
- Experience using AI-assisted engineering tools and automation to improve delivery, planning, reporting, or technical problem solving.
WHAT YOU WILL DO
- Lead the end-to-end technical program across distributed engineering teams, covering product integration and AWS-to-GCP migration activities.
- Translate high-level initiatives into detailed workstreams, milestones, dependencies, execution plans, and measurable outcomes.
- Coordinate engineering, testing, data, cloud, and product activities, including validation, parallel runs, data reconciliation, and production cutover readiness.
- Work closely with technical leads to understand architecture, APIs, integrations, cloud services, databases, and technical blockers.
- Manage roadmap and backlog tracking, risks, issues, dependencies, and delivery commitments across multiple teams.
- Provide clear program updates to stakeholders and senior management, including progress, risks, decisions, and required actions.
- Support collaboration across geographically distributed teams and use AI-assisted tools and automation where they improve delivery and technical problem solving.
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