SRE/DevOps Engineer with strong Kubernetes Experience

You May be a Good Fit if:

• You have deep, hands-on experience in SRE, DevOps, or Platform Engineering across both AWS and Azure, with a strong track record operating Docker and Kubernetes in production environments.
• You’re highly proficient in administering both Linux and Windows, and have practical, enterprise-level experience supporting IIS/.NET applications as well as Java Spring Boot services.
• You have built and maintained CI/CD pipelines (primarily GitHub Actions) with DevSecOps principles baked in - integrating security scans, policy-as-code, and compliance gates - and script confidently in Python, PowerShell, or Bash.
• You have experience with cloud security best practices (IAM, secrets management, container/image scanning) and understand core infrastructure fundamentals (networking, storage, DNS) and APM/telemetry tooling.

What Would Make You Stand Out:

• Practical experience with agentic AI for operations - incident triage, runbooks, and change management - with clear guardrails, auditability, and human-in-the-loop controls.
• Supporting AI/ML workloads at scale: SageMaker endpoints, GPU node groups, autoscaling, and Kubernetes-based model serving.
• Policy-as-code (OPA) and compliance implementation across CIS, NIST, ISO 27001, with automated remediation integrated via CSPM tools (e.g., Wiz).
• Applying AI in CI/CD, observability, and incident response using AWS Bedrock/SageMaker and Model Context Protocol (MCP).
• Hands-on Agile delivery experience, actively participating in stand-ups and sprint ceremonies.