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Product Engineering Lead - Satellite Intelligence Platform

Product Engineering Lead - Satellite Intelligence Platform

GalaxEyeDelhi, IN
1 day ago
Job description

GalaxEye is building groundbreaking AI-first products that transform satellite data into actionable intelligence. We’re creating the world’s most advanced multi-sensor geospatial intelligence platform, fusing data from space, AI, and high performance computing. Join us as we engineer the digital backbone of this vision.

We’re seeking a Software Engineering Lead to guide the design, development, and deployment of our AI-driven satellite intelligence products. This is a hands-on technical leadership role — you’ll work closely with the founders and AI / CV teams to define the engineering roadmap, shape the software architecture, and ensure high-quality, production-grade systems are built on schedule.

Key Responsibilities

  • Define and own the software engineering roadmap aligned with the company’s product strategy.
  • Translate vision into actionable engineering requirements for different product versions and releases.
  • Collaborate with AI / CV teams to productize algorithms and workflows into deployable software modules.
  • Design and validate hardware–software architectures for scalable and reliable performance.
  • Establish coding, testing, and CI / CD best practices to ensure production readiness.
  • Lead the evaluation and selection of technology stack across front end, back end, storage, and orchestration.
  • Manage day-to-day execution, sprints, and deliverables of the software engineering team.
  • Take end-to-end ownership of delivery timelines, ensuring quality, performance, and stability across releases

Preferred Skills

  • 5+ yrs of experience in building core AI / CV products at scale for high data volume throughput
  • Strong command over Python and backend frameworks (FastAPI, Flask, or Node.js).
  • Proven experience in architecting distributed systems or AI / ML platforms.
  • Hands-on experience with Docker, CI / CD pipelines, and workflow orchestrator (e.g., Slurm, Argo, Airflow).
  • Solid understanding of PostgreSQL, API design, and system integration.
  • Demonstrated ability to lead small teams, mentor engineers, and manage delivery timelines.
  • Prior experience in AI, computer vision, or geospatial applications is a strong plus
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