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.
Skills Required
- 15+ years in cloud and DevOps engineering
- Architect-level ownership of large-scale, multi-cloud systems across AWS, Azure, and GCP
- Experience leading CI/CD and DevSecOps initiatives at scale
- Experience with Jenkins, GitHub Actions, GitLab CI/CD, or cloud-native pipelines
- Strong knowledge of Kubernetes and Docker
- Strong knowledge of Terraform and Ansible
- Strong knowledge of Prometheus, Grafana, Datadog, or ELK observability tools
- Knowledge of cloud security and compliance frameworks including HIPAA, GDPR, and PCI DSS
- Technical people leadership experience, including hiring, mentoring, and building engineering capability
- Ability to operate strategically and tactically in technical delivery and architecture contexts
- Excellent communication skills
- Experience supporting pre-sales solutioning, technical proofs of concept, and proposal or RFP input
- Hands-on exposure to AI/ML infrastructure or MLOps
- Experience building or scaling AI/ML operations, including model deployment pipelines and monitoring
- Experience working in a fast-growing IT services organization
What We Do
CloudifyOps is a Cloud technology firm enabling businesses to maximise profitability, become more agile and innovative through our comprehensive portfolio of Cloud transformation, DevOps consulting and Managed IT Services. We are a proud Advanced Consulting Partner of Amazon Web Services and have deep expertise in Microsoft Azure and Google Cloud Platform solutions. We are driven by passion to deliver extraordinary value for our customers. We assure to deliver reduced TCO, greater IT-business alignment and higher SLAs. Our Service Offerings: Cloud Services - We make your transformation to Cloud effortless and efficient : CloudifyOps delivers engineering services to support Cloud Infrastructure as a Service (IaaS). Once you identify your business requirements, we bring in our comprehensive expertise in Analysis, Design, Deployment and End-to-End Support of the Cloud solution. DevOps Services - You build your application and we help you deliver to the market FASTER : At CloudifyOps, we do a thorough strategy assessment, create a pilot framework and a complete tool stack construction aligned to your application/product. In simple words - End-to-End DevOps Implementation. Site Reliability Engineering (SRE) - We help you keep your revenue-critical systems up and running and achieve scalability and reliability through continuous improvement and automation : The CloudifyOps team will establish the current state, set up an SRE backlog for proactive improvement, cross-pollinate learnings and help you scale up to reliable and scalable processes that are fully automated and data driven. Managed IT Services - We handle your IT while you continue to grow your business : We make sure your business can keep generating revenue even when an emergency strikes (High Availability & Disaster Recovery Management). Data Capability Platforms, Accelerators and Frameworks
