Head of Engineering
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Job Description
Culture at CloudifyOps : 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. Great people, a work environment that thrives on creativity, a career path designed around feedback and progress - as well as the opportunity to take on roles beyond a defined
job description
are just some of the reasons you should work with us.
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
- 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.
- 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
Key Requirements & Skills
experience
leading CI/CD and DevSecOps initiatives (Jenkins, GitHub Actions, GitLab CI/CD, cloud-native pipelines) at scale.
- 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, Gr
Frequently Asked Questions
How to apply for Head of Engineering at CloudifyOps?
Click the "Apply via CareerScan" button on this page.
What is the salary for this role?
Salary details will be discussed during the interview.
What experience is required?
13+ years of experience is required.
Is this position still open?
Yes, currently active and accepting applications.
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