About the role:

We are looking for a Head of Engineering - a role built for someone who can operate at both ends of the spectrum: architect-level technical depth and director-level strategic ownership. You will partner closely with the Sr. Director of Technology and CTO to shape and build CloudifyOps’s technology capability across Cloud, DevOps and AI, while staying hands-on enough to make (and unmake) technical decisions on live client engagements.

This is not a purely advisory seat - you’re expected to be on the ground: in technology and delivery reviews, in architecture calls, and in the room when we decide what capability to build next.

Key Responsibilities:

Strategic & Technical Direction

- Define and evolve CloudifyOps’s Cloud, DevOps and AI/ML architecture strategy - infrastructure design, containerization, CI/CD, MLOps pipelines and disaster recovery - in partnership with the Sr. Director - Technology and CTO.
- Set technical direction for major client engagements and internal products (MIXIMO, Lens, DevOptymize), ensuring architecture choices hold up under scale, security and cost constraints.
- Champion DevSecOps and MLOps practices, embedding security and governance across the delivery lifecycle.
- Track emerging cloud and AI technologies and translate that into build-vs-buy and capability-investment recommendations for leadership.

Hands-On Technical Project Delivery

- Stay embedded in select high-stakes or strategic client engagements - architecture reviews, PoCs and troubleshooting - rather than overseeing delivery from a distance.
- Own resolution of complex, cross-team technical issues (SRE, Cloud, AI/ML) that require architect-level judgment, keeping critical KPIs within error budget.




- Build and continuously refine the technical standards, frameworks and playbooks (IaC, observability, cost optimization, AI/ML pipelines) that delivery teams use day to day.

Capability & Team Building

- Own the technical hiring bar for Cloud, DevOps and AI roles - define role requirements, run technical interviews/assessments, and make the final call on technical fit, while HR/TA runs the hiring process end to end.
- Drive learning & development for the engineering organization - identify skill gaps against where the market and our service lines are heading, and build or sponsor upskilling paths (cloud certifications, AI/ML tooling, architecture practice).
- Mentor Architects, Leads and senior engineers; act as a technical escalation point and growth sounding board across the Solutions Engineering track.
- Contribute to workforce and staffing planning - advise on team structure, capacity and role design as service lines evolve.

Stakeholder & Business Outcomes

- Partner with the CTO and Business/Sales leadership to align technical capability-building with growth priorities and client commitments.
- Represent technology in cross-functional strategy discussions - pricing, proposals and go-to-market conversations that need architect-level technical grounding.
- Provide pre-sales technical leadership on strategic deals - solution design, RFP/proposal input,



and technical PoCs or demonstrations that need architect-level credibility with prospective clients.
- Track and report on delivery health, technical debt and capability metrics to leadership.

What we are looking for:

- 15+ years in cloud/DevOps engineering with demonstrated architect-level ownership of large-scale, multi-cloud (AWS/Azure/GCP) systems; hands-on exposure to AI/ML infrastructure or MLOps is a strong plus.
- Proven experience leading CI/CD and DevSecOps initiatives (Jenkins, GitHub Actions, GitLab CI/CD, cloud-native pipelines) at scale.
- Solid grounding in container orchestration (Kubernetes, Docker), IaC (Terraform, Ansible), observability (Prometheus, Grafana, Datadog/ELK) and cloud security/compliance frameworks (HIPAA, GDPR, PCI DSS).
- Experience building or scaling AI/ML operations - model deployment pipelines, monitoring, and infrastructure for generative AI or ML workloads - is highly desirable given CloudifyOps AI transformation focus.
- Track record of technical people leadership: hiring, mentoring and building engineering capability - not just delivering projects.
- Comfortable operating both strategically (roadmaps, capability planning, stakeholder alignment) and tactically (in the weeds on a live incident or architecture review).
- Comfortable supporting pre-sales efforts - solutioning, technical PoCs, and proposal/RFP input for prospective and existing clients.
- Excellent communication skills - equally credible in a client architecture review and a leadership capability- planning conversation.
- Prior exposure to working in a fast-growing IT services organization is an advantage.

📌 Head of Engineering (Bengaluru)
🏢 Cloudifyops
📍 Bengaluru