Senior DevOps Engineer

What You’ll Do

• Implement and roll out core platform capabilities (Kubernetes-based runtime, build/deploy tooling, observability) across teams and environments.
• Create reusable templates, Helm charts, pipeline definitions, and IaC modules that teams can adopt with minimal friction.
• Onboard scrum teams onto the platform - migrating workloads, standardizing configuration, and documenting self-service paths.
• Drive consistent adoption of platform standards while accommodating legitimate team-specific needs.
• Own day-to-day health, configuration, and lifecycle of the platform and its supporting infrastructure.
• Plan and execute infrastructure and platform upgrades (Kubernetes versions, node pools, runtimes, agents, tooling) with minimal disruption.
• Manage platform configuration changes through controlled, auditable processes.
• Provide responsive support to engineering teams using the platform, acting as the escalation point for platform-related issues.
• Manage SSL/TLS certificate renewals and rotation, secret/credential rotation, patching, and capacity adjustments on a recurring, reliable cadence.
• Plan and carry out infrastructure upgrades and maintenance windows, including rollback planning and stakeholder communication.
• Maintain and tune platform configuration for scalability, resiliency, performance, and cost efficiency.
• Lead incident response for production issues - triage, mitigation, coordination, and resolution - and run blameless post-incident reviews with concrete follow-up actions.
• Improve observability, monitoring, and alerting so issues are caught proactively rather than reported by users.
• Design, implement, and maintain automated CI/CD pipelines covering build, test, release, and deployment across Windows and Linux workloads.
• Enable scrum teams to own their pipelines through shared templates, reusable steps, and clear documentation.
• Promote sound source control, branching, and release management practices.
• Embed security and compliance controls directly into pipelines (DevSecOps) - scanning, policy gates, and secrets handling.
• Continuously reduce lead time, deployment friction, and manual steps in the delivery lifecycle.
• Provide Level-3 support for complex production and platform incidents.
• Identify and act on opportunities to improve system stability, operational maturity, and self-service.
• Optimize platforms and processes based on measurable outcomes (deployment frequency, change failure rate, MTTR, cost).
• Maintain strong, current technical documentation and runbooks.
• Partner with Application Architects and engineering teams to align platform and DevOps solutions with product needs.
• Mentor and coach engineers on DevOps practices, pipeline ownership, and operational discipline.
• Promote a culture of automation, ownership, and continuous improvement.
• Research emerging tools and practices that improve the delivery lifecycle, and introduce cost-effective solutions that increase speed, quality, and reliability.
• Active AI practitioner- leverages AI-assisted tooling (Claude, Cursor, Copilot) to accelerate engineering and operational work.

What You Bring

• At least 5 years of hands-on DevOps, platform, or infrastructure engineering experience within distributed systems or large enterprises.
• Bachelor’s degree in Computer Science or related discipline, or equivalent work experience.
• Kubernetes administration and containerization (Docker, Helm), including platform upgrades and lifecycle management.
• CI/CD orchestration across Windows and Linux environments (TeamCity, Octopus).
• Infrastructure automation and scripting (Terraform, Ansible, PowerShell, Bash).
• Cloud infrastructure administration (Azure / AWS).
• Log collection and dashboarding (ELK, New Relic).
• Demonstrated experience operating production systems and leading incident response.
• Nice to have:
• Experience rolling out internal developer platforms or self-service tooling across multiple teams.
• Familiarity with policy-as-code, secrets management, and DevSecOps tooling.
• Experience defining and tracking delivery/reliability metrics (DORA or similar).