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Digantara, based in Bengaluru, India, is seeking a Project Engineer to drive software platforms and data pipelines from concept to release. You will manage agile processes, coordinate dependencies across software, hardware, algorithms, and data teams, and ensure on-time delivery in a fast-paced space environment.
The ideal candidate has 2+ years in space/space-adjacent PM roles, strong budgeting and vendor management skills, and fluency in English.
Project Engineer
Job type: Full Time · Department: Engineering · Work type: On-Site
Bengaluru, Karnataka, India
Digantara is a leading Space Surveillance and Intelligence company focused on ensuring orbital safety and sustainability. With expertise in space-based detection, tracking, identification, and monitoring, Digantara provides comprehensive domain awareness across regimes, allowing end users to have actionable intelligence on a single platform. At the core of its infrastructure lies a sophisticated integration of hardware and software capabilities aligned with the key principles of situational awareness: perception (data collection), comprehension (data processing), and prediction (analytics). This holistic approach empowers Digantara to monitor all Resident Space Objects (RSOs) in orbit, fostering comprehensive domain awareness.
We are seeking highly organized Project Engineers to join our team. This person is expected Manager to drive the delivery of our software products platforms and data pipelines that turn sensor observations into actionable intelligence for our customers. In this role, you will take charge of execution for software delivery from concept to release: running the agile process day to day, tracking progress through the right tools, coordinating the dependencies between the software track and the hardware, algorithms, and data teams it relies on.
Work experience in formal project management in the space segment has delivered software products on time by running a healthy agile process, building the team habits and the tracking discipline that make delivery predictable while turning ambiguity and shifting requirements into a plan the team can actually execute against and cares about delivery culture as much as delivery mechanics.