Head of Engineering

Working at CloudifyOps is a rewarding experience. We're built around five values - Ownership, Transparency, Learning, One Team, and Performance - and you'll feel them in how work actually gets done here, not just in a poster on the wall.

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.

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.

• Strong 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. 

Equal opportunity employer 

CloudifyOps is proud to be an equal opportunity employer with a global culture that embraces diversity. We are committed to providing an environment free of unfair discrimination and harassment. We do not discriminate based on age, race, color, sex, religion, national origin, disability, pregnancy, marital status, sexual orientation, gender reassignment, veteran status, or other protected category.