Engineering Manager – GPU Orchestration & AI Inference Platform

Pune, Maharashtra · Pune · 2-3 years experience · Posted Sep 30, 2026

At a glance

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.

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 balancing day-to-day delivery and people management with real technical involvement, including reviewing designs and code and unblocking engineers.

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
Stay hands-on by reviewing designs, participating in architecture discussions, reading and review code, and unblocking engineers on backend, frontend, and 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 including code review discipline, CI/CD hygiene, test coverage, and consistent frontend routing and coding standards
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 and escalate blockers early
Report on team velocity, delivery risk, and capacity to stakeholders

B.E / B.Tech or equivalent in Computer Science, Information Technology, or a related discipline
10-15 years in software engineering, with at least 2-3 years in an engineering manager / tech-lead capacity leading a team of 5-10 engineers
Demonstrated hands-on proficiency in at least one backend stack and one frontend stack, with the ability to review code and unblock engineers directly
Working knowledge of Kubernetes-native application development and deployment
Experience managing delivery for complex, multi-service platforms
Well versed with Agile methodology including sprint planning, estimation, prioritisation, governance and reporting
Proven experience hiring, mentoring, and developing engineers, including performance management
Comfort working across India/US team structures and coordinating with external delivery vendors or partners
Strong communication skills, with the ability to translate between technical design detail and delivery status for architecture and product stakeholders

Experience with GPU-based infrastructure management and control platform, AI/ML inference platforms, or LLM serving stacks
Familiarity with multi-tenant SaaS architecture, RBAC models, and quota/billing systems
Experience with PostgreSQL schema-per-service architectures and event-driven or workflow automation tools
Exposure to Prometheus/Grafana-based observability stacks
Prior experience managing or coordinating with offshore/nearshore development vendors
Certifications such as CKA/CKAD or equivalent Kubernetes credentials