Engineering Manager

About Gruve

Gruve is an innovative software services startup dedicated to transforming enterprises to AI powerhouses. We specialize in cybersecurity, customer experience, cloud infrastructure, and advanced technologies such as Large Language Models (LLMs). Our mission is to assist our customers in their business strategies utilizing their data to make more intelligent decisions. As a well-funded early-stage startup, Gruve offers a dynamic environment with strong customer and partner networks.

Position Summary:

The Engineering Manager will lead the India engineering team building PulseAI, Gruve's on-premises, Kubernetes-native GPU orchestration and AI inference platform. This is a hands-on role: you will balance day-to-day delivery and people management with real technical involvement — reviewing designs and code, and unblocking engineers — while working closely with the Lead Architect / Product Owner to turn technical designs and JIRA backlogs into shipped, quality-tested increments. You will also grow a high-performing engineering team.

Key Roles & Responsibilities:

• Lead and grow a team of engineers delivering PulseAI, Gruve's on-premises, Kubernetes-native GPU orchestration and AI inference platform
• Own day-to-day engineering delivery: sprint planning, work breakdown, estimation, and tracking progress against roadmap commitments in partnership with the Product Owner and architecture team
• Stay hands-on — review designs, participate in architecture discussions, read and review code, and unblock engineers on FastAPI/PostgreSQL backend, React frontend, and RKE2/OpenShift deployment issues
• Translate technical design documents and JIRA stories into clear, sequenced execution plans for the India engineering team
• Recruit, mentor, and develop engineers; run performance conversations, set growth plans, and build a strong engineering culture within the team
• Coordinate closely with the external development vendor and internal architecture leadership to align delivery timelines, resolve cross-team dependencies, and maintain quality standards
• Drive engineering best practices: code review discipline, CI/CD hygiene, test coverage, and consistent frontend routing and coding standards across the team
• Partner with QA to plan release readiness, support UAT cycles, and ensure milestone sign-off criteria are met before delivery
• Manage risk and dependency tracking across concurrent workstreams (Model Deployment, Observability & Metrics, Secrets Management, GPU Quota/Billing) and escalate blockers early
• Contribute to technical decision-making on multi-tenant isolation, GPU resource quota enforcement, and identity/SSO federation as the platform evolves