Product Engineering Lead

4 weeks ago


New Delhi, India GalaxEye Full time

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 releasesPreferred 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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