Head of Engineering

Working at CloudifyOps is a rewarding experience. Were built around five values - Ownership Transparency Learning One Team and Performance - and youll 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 CloudifyOpss 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 - youre 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 CloudifyOpss 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.