We’re seeking an experienced DevOps Engineer to serve as the sole dedicated DevOps person for our engineering group. This role reports directly to the Head of Engineering. You will partner broadly across our engineering teams, supporting specific squads or initiatives to drive DevOps, infrastructure, automation, cloud operations, tooling, and cost optimization.

Your work will span external cloud operations, internal dev teams’ CI/CD and deployment automation, AI/LLM tooling, and cloud FinOps.

What you’ll do:

• Lead the design, implementation, maintenance, and improvement of our cloud infrastructure and deployments — especially on Google Cloud Platform (GCP) and/or Microsoft Azure (with GCP a strong preference; experience on both is a big plus)
• Own and evolve CI/CD pipelines, deployment automation, and developer tooling to streamline releases, reduce friction, and increase team velocity
• Collaborate with different engineering teams to identify manual/deployment bottlenecks, build and deliver automation solutions, and improve their DevOps practices.
• Execute engineering org-wide initiatives, including AI/LLM gateway tooling, internal dev tooling (e.g., Claude Code assistants), and other horizontal improvements.
• Drive Cloud FinOps: monitor, analyse, and optimise cloud spend; evaluate and implement self-hosting (versus SaaS) alternatives; proactively reduce cost while maintaining reliability and scale.
• Support operational practices including monitoring, alerting, incident response, backups, disaster recovery, security best practices, and infrastructure scalability.
• Be the go-to DevOps partner across teams — you’ll rotate focus as needed among squads, enabling them to self-serve faster.

Qualifications:

• 5+ years of progressive, hands-on experience in a DevOps, SRE, or Cloud Platform Engineering role (We're looking for deep expertise, not just time)
• Mandatory Deep Expertise in either GCP or Azure, with a strong preference for Google Cloud Platform (GCP). Experience with both is highly desirable.
• Proven expertise and in-depth understanding of containerisation and orchestration. Specifically with Kubernetes
• Solid experience with Infrastructure as Code, particularly Terraform
• Advanced scripting proficiency (Bash and/or Python)
• Experience with CI/CD tooling (GitHub, GitHub Actions, or similar)
• Familiarity with internal developer tooling and developer experience improvements
• Strong analytical, troubleshooting, and operational mindset — you’re good at reducing manual toil, automating things, optimising cost, and monitoring production systems
• Excellent collaboration skills: able to work across engineering teams, be a trusted partner, and help raise DevOps maturity

Preferred qualifications

• Proven track record leading FinOps/Cost Optimization initiatives that delivered tangible, measurable savings
• Experience with AI/LLM tooling or developer experience/adoption of AI assistants (e.g., Claude Code, MCPs, LLM Gateways)
• Knowledge of Jira, DevOps best practices, observability stacks (monitoring/alerting/logging)
• Prior success operating as a sole Platform/DevOps Engineer embedded across multiple engineering teams

Why you’ll love working here?

Sole DevOps Engineer owning the cloud architecture (GCP/Azure) & CI/CD for our AI-powered platform. Drive FinOps/cost savings and innovation. High autonomy, huge impact!!

About us:

Applitools is pioneering the future of test automation through AI. Our intelligent platform empowers engineering teams to deliver flawless digital experiences faster and with greater confidence. By infusing visual AI and autonomous capabilities into every step of the testing lifecycle, Applitools helps organizations build, test, and release applications at the speed of innovation. Trusted by global enterprises and startups alike, we transform quality assurance into a competitive advantage—reducing time, effort, and cost while elevating product excellence.

**We work in a hybrid environment — two days in the office. **