Senior DevOps Engineer(GCP)

Ciklum is looking for a Senior DevOps Engineer to join our team in Canada.

We are a custom product engineering company that supports both multinational organizations and scaling startups to solve their most complex business challenges. With a global team of over 4,000 highly skilled developers, consultants, analysts and product owners, we engineer technology that redefines industries and shapes the way people live.

About the role:

As a Senior DevOps Engineer, you'll become a part of a cross-functional development team engineering experience of tomorrow.

Responsibilities:

• Design, build, and maintain the core infrastructure (compute, networking, CI/CD, observability)
• Drive developer experience improvements — reducing friction, removing toil, and making the "paved path" the easy path
• Lead triage on production issues: dig into logs, write scripts to analyze data when needed, and drive incidents to resolution
• Shape and advance our infrastructure architecture with a bias toward simplicity, scalability, and ease of use for the engineers building on it
• Use AI tools deliberately and effectively as a force multiplier in your own work, and help others on the team do the same
• Partner closely with engineering teams to understand their needs and translate them into infrastructure decisions

Requirements:

• Experience managing a Kubernetes (or similar) cluster — not just deploying applications onto one as a runtime. You should have configured, operated, or maintained a cluster yourself (node pools, upgrades, scaling, networking, etc.)
• Experience with infrastructure-as-code (Terraform or an equivalent like Pulumi/CloudFormation) — you've written and maintained IaC yourself
• Solid engineering fundamentals and a real point of view on what makes infrastructure and architecture simple, scalable, and maintainable — and the judgment to make good trade-offs
• Comfort owning production triage: reading logs, forming hypotheses, writing a script when that's the fastest path to an answer, and driving to root cause under some pressure
• Combination of infrastructure/DevOps and Python/software engineering skillsets
• Clear, effective communicator, in writing and out loud — able to explain technical trade-offs to both engineers and non-infra stakeholders
• Genuinely AI-forward: you already use AI tools to move faster and better, not just because it's expected
• A collaborative partner to the broader engineering org — this role succeeds by making other engineers more effective, not by working in isolation

Desirable:

• Experience with Google Cloud Platform, particularly GKE Autopilot or a comparable managed Kubernetes environment