Leads end-to-end technical programs across distributed engineering teams, focusing on product integration and AWS-to-GCP cloud migration. Responsibilities include defining workstreams and milestones, coordinating engineering, testing, data validation, parallel runs, reconciliation, and production cutovers; managing roadmaps, risks, dependencies, and delivery commitments; and reporting progress and decisions to senior stakeholders.
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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