What You’ll Own:

• Core stack: Work hands-on with AWS (multi-account, multi-region), Terraform, EKS (Kubernetes), complex GitLab CI pipelines, Helm, RDS, S3, kafka, RabbitMQ, Lambda, and Python, plus observability tools like Prometheus, Loki, Datadog, and OpenTelemetry.
• Reliability: Troubleshoot complex issues across distributed systems and apply SRE principles to drive root cause analysis, long-term fixes, and platform-wide reliability improvements.
• Backup and disaster recovery: Design and implement robust backup and disaster recovery strategies for both stateless and stateful services.
• Platform design: Collaborate with engineers, stakeholders, and DevOps teammates to design, evolve, and maintain a scalable and secure cloud platform.
• Developer experience: Continuously improve tooling, automation, and operational workflows to reduce friction, enhance developer experience, and enable faster, safer shipping.
• Knowledge sharing: Stay current with the evolving DevOps and cloud-native ecosystem, not just to grow your own skill set, but to help elevate the team's knowledge, challenge assumptions, and introduce better ways of working.

What You Bring

• Experience: 5+ years of hands-on experience in DevOps, SRE, or platform engineering roles.
• AWS at scale: You're confident in managing AWS at scale, including IAM, networking, and security best practices, and you know how to balance cost, performance, and simplicity.
• Infrastructure as Code: You're fluent in IaC (preferably Terraform or similar) and use it to build clean, modular, and scalable infrastructure.
• Kubernetes and CI/CD: You have solid experience managing Kubernetes (we use EKS) in production, with a strong grasp of workload security and day-2 operations, and you're comfortable building modern CI/CD pipelines with tools like GitLab CI or ArgoCD, with real care for developer experience.
• Automation: You're proficient in Python, Go, or Bash for automation, tooling, and optimizing engineering workflows.
• Observability and incidents: You have hands-on experience with observability tooling, preferably Datadog in production along with Prometheus, OpenTelemetry, or Loki. You apply SLIs/SLOs to guide operational decisions, stay calm during incidents, and know when to roll back or escalate.
• Communication and curiosity: You communicate clearly, write good docs, and support your decisions with reasoning. You enjoy learning, questioning the status quo, and improving the platform for everyone around you.
• AI and agentic workflows: You integrate AI tools directly into core engineering tasks rather than relying only on code suggestions leveraging them to manage incident alerts, refine infra setup, or automate operational runbooks. You grasp how to equip agents with proper context, tooling, and safe boundaries, consistently seeking new opportunities to drive efficiency.
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