Engineering Manager – GPU Orchestration & AI Inference Platform

📋 Description

• Lead and grow a team of engineers delivering PulseAI, Gruve's on-premises, Kubernetes-native GPU
• Own day-to-day engineering delivery: sprint planning, work breakdown, estimation, and tracking
• Stay hands-on — review designs, participate in architecture discussions, read and review code, and
• Translate technical design documents and JIRA stories into clear, sequenced execution plans for the
• Recruit, mentor, and develop engineers; run performance conversations, set growth plans, and build
• Coordinate closely with the external development vendor and internal architecture leadership to

🎯 Requirements

• Education: B.E / B.Tech or equivalent in Computer Science, Information Technology, or a related
• Experience: 10-15 years in software engineering, with at least 2-3 years in a engineering manager/
• Demonstrated hands-on proficiency in at least one backend stack (Python/FastAPI or equivalent) and
• Working knowledge of Kubernetes-native application development and deployment (RKE2, OpenShift, or
• Experience managing delivery for complex, multi-service platforms (preferably virtualisation and
• Well versed with Agile methodology including sprint planning, estimation, prioritisation

🎁 Benefits

• Culture of innovation, collaboration, and continuous learning
• Commitment to building a diverse and inclusive workplace where everyone can thrive and contribute
• Equal opportunity employer