Job Description:
• Design, build, and operate Kubernetes platforms for secure, highly available, and scalable critical production services across hybrid and public-cloud environments
• Build infrastructure as code with Terraform using reusable modules, safe delivery workflows, and governed infrastructure changes
• Develop backend services, internal tools, and operational automation in Go, Python, or JavaScript/TypeScript
• Partner with engineering and product teams to translate workload requirements into pragmatic solutions for reliability, performance, capacity, security, and cost
• Improve the production lifecycle through CI/CD, deployment automation, progressive delivery, and clear operational ownership
• Define and evolve observability practices across metrics, logs, traces, alerting, and dashboards
• Participate in on-call, lead incident response, perform root-cause analysis, and drive blameless postmortems and corrective actions
• Establish reliability targets using SLIs, SLOs, error budgets, capacity planning, disaster-recovery testing, and resilience improvements
• Embed security and compliance into platform operations
• Apply AI-assisted and data-driven operational techniques to improve signal detection, reduce alert noise, accelerate root-cause analysis, and identify automation opportunities
• Contribute through code reviews, documentation, knowledge sharing, and mentorship
• Mentor and support team growth
Requirements:
• 5+ years of experience in Site Reliability Engineering, DevOps, Infrastructure Engineering, or a closely related software engineering role supporting production systems
• Deep, hands-on Kubernetes expertise, including designing, operating, securing, and troubleshooting production clusters and containerized workloads at scale
• Strong Terraform experience, including authoring reusable modules, managing state and environments, and delivering infrastructure changes through reviewable, automated workflows
• Production software-development experience in Go, Python, or JavaScript/TypeScript
• Demonstrated success improving the reliability, performance, scalability, or cost efficiency of distributed systems in production
• Experience with cloud infrastructure and core networking concepts, including IAM, DNS, load balancing, routing, service networking, and secure connectivity
• Strong observability and troubleshooting skills using metrics, logs, traces, alerting, and incident data
• Experience defining and operating against SLIs, SLOs, error budgets, incident-management processes, postmortems, and disaster-recovery practices
• Familiarity with CI/CD, GitOps or deployment automation, and canary or blue-green deployments
• Security-minded approach to infrastructure and experience partnering with Security and engineering teams in regulated or high-availability environments
• Clear written and verbal communication, strong ownership, and judgment to balance speed, risk, and operational excellence
• Experience applying AI-assisted tooling to engineering or operations workflows is a plus
Benefits:
• Flexible work environment
• Remote-first work arrangement