What You Will Do:

• Own reliability and resilience outcomes for an internal AKS fleet used by multiple partner teams

• Design, implement, and improve Kubernetes platform capabilities such as cluster lifecycle management, workload isolation, autoscaling, and safe multi tenancy

• Lead and execute toil reduction initiatives through automation, self service workflows, and strong platform defaults

• Build and evolve observability across metrics, logs, and traces, with a focus on distributed system dependencies and actionable signals

• Improve incident response by automating detection, recovery, and mitigation to protect service levels

• Participate in an on call rotation, act as an incident responder, and support others during high impact events

• Contribute to SRE processes such as incident reviews, error budgets, and reliability planning using practical experience

• Provide informal mentorship and technical guidance to junior SREs and engineers on partner teams

• Collaborate with security, networking, and application teams to align platform standards and reduce cross team friction

• Continuously identify opportunities to simplify architecture, reduce operational overhead, and optimize cloud cost

What We Are Looking For:

• Strong hands on experience operating Kubernetes in production, ideally Azure Kubernetes Service

• Practical experience across core SRE practices such as monitoring, alerting, incident response, capacity planning, and automation

• Solid understanding of distributed systems behavior, failure modes, and dependency management

• Experience automating infrastructure and operations using tools such as Terraform, Helm, GitHub Actions

• Proficiency with at least one programming or scripting language used for automation and tooling (Python, Bash)

• Experience designing systems that favor reliability, simplicity, and clear ownership over ad hoc fixes

• Comfort participating in on call rotations and leading or supporting incidents in a calm, structured way

• Ability to influence without authority and work effectively with multiple partner teams

• A mindset oriented toward root cause analysis, long term fixes, and continuous improvement

Nice to Haves:

• Familiarity with service meshes, ingress patterns, and zero trust networking concepts

• Experience with cloud cost optimization in Kubernetes environments

• Prior exposure to internal platform or enablement teams



U.S. National Base Pay Range: $104,900 - $174,700. Geographic differentials may apply in some locations to better reflect local market rates.



This job is eligible for an annual incentive bonus.



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