Your Role and Responsibilities:

Team Leadership & Growth

Manage a team of 30+ engineers across multiple squads, guide career development, run hiring cycles including campus drives, and build a high-trust, high-output organisation.

IBM Power AI Delivery

Own the technical execution of AI software readiness, open-source enablement, and ISV ecosystem expansion on IBM Power - from roadmap to release.

OpenStack & IaaS Engineering

Drive development and maintenance of cloud-infrastructure services (compute, networking, storage) on Power, collaborating closely with upstream OpenStack communities.

Client & Stakeholder Interface

Serve as the primary technical point of contact for internal and external partners, ISVs, and IBM leadership - owning programme updates, escalations, and joint planning.

Multi-Team Agile Delivery

Lead Scrum of Scrums across squads, maintain a predictable, high-quality delivery cadence, and continuously improve engineering processes and tooling.

Open Source & Community

Champion IBM's open-source posture - unblocking upstream contributions, managing repository health, and engaging with the broader developer community on IBM Power.

Required Education:

Bachelor's Degree

Preferred Education:

Master's Degree

Required Technical and Professional Expertise:

- 10+ years of hands-on software engineering, with a solid track record delivering complex, scalable infrastructure and AI/cloud software for enterprise environments - including IBM Power-based platforms.
- 3+ years managing and leading full-stack engineering teams end-to-end: technical execution, sprint delivery, performance management, and talent development across a diverse, distributed group.
- Deep technical proficiency in Python and OpenStack - particularly within compute, networking, storage,



or controller-level components - and cloud-based IaaS application development workflows.
- Proven ability to lead multiple concurrent Scrum teams, including cross-team coordination via Scrum of Scrums, consistently delivering to quality and schedule in a fast-paced programme.
- Hands-on familiarity with AI workloads, open-source tooling, and the CI/CD and packaging pipelines that support them at scale on Power infrastructure.
- Strong communication and presentation skills - able to translate deep technical context for executive, client, and cross-functional audiences without losing precision.
- Demonstrated stakeholder and client management experience, including external-facing ownership of technical roadmaps, delivery commitments, and escalation handling.
- Experience building and sustaining a healthy engineering culture: mentoring senior engineers, managing hiring (including university pipelines), and maintaining psychological safety alongside delivery rigour.

Preferred Technical and Professional Experience:

- 5+ years of engineering leadership with a focus on mentoring senior individual contributors and building technical career ladders within an IBM or IBM-adjacent engineering organisation.
- Direct experience with IBM Power hardware, ppc64le toolchains, and the nuances of porting, packaging, and validating AI/ML frameworks on non-x86 architectures.
- Familiarity with ISV and ecosystem enablement programmes - managing partner relationships, tracking software availability, and driving co-sell or joint-go-to-market outcomes.
- In-depth OpenStack contribution or operations experience across multiple releases, with knowledge of deployment at IBM-scale or cloud-service-provider scale.
- Experience presenting technical investment cases, release catalogs, or architecture decisions to VP-level and above, including IBM executive audience.

*Years of Experience:*10 - 15

📌 Engineering Manager (Bengaluru)
🏢 IBM India Pvt.
📍 Bengaluru