SRE/DevOps Engineer with strong Kubernetes Experience

Job summary

Operate and support production infrastructure and applications across AWS and Azure, including Docker and Kubernetes environments, Linux and Windows systems, IIS/.NET applications, and Java Spring Boot services. Build and maintain secure CI/CD pipelines, apply cloud security and compliance practices, and support observability and AI/ML workloads.

Job details

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.

What you’ll do

Operate and support production infrastructure and applications across AWS and Azure, including Docker and Kubernetes environments, Linux and Windows systems, IIS/.NET applications, and Java Spring Boot services. Build and maintain secure CI/CD pipelines, apply cloud security and compliance practices, and support observability and AI/ML workloads.

Requirements

The role calls for deep, hands-on SRE, DevOps, or platform engineering experience, strong production Kubernetes and Docker expertise, and proficiency administering Linux and Windows. Candidates should have experience with GitHub Actions CI/CD, DevSecOps and cloud security, scripting in Python, PowerShell, or Bash, and infrastructure fundamentals; experience with agentic AI operations, AI/ML workloads, policy-as-code, and compliance is an advantage.

Listed skills

• Amazon Web Services · Preferred
• Microsoft Azure · Preferred
• Docker · Preferred
• Kubernetes · Preferred
• CI/CD · Preferred
• Python · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• Site Reliability Engineering
• DevOps
• Platform Engineering
• AWS
• Azure
• Docker
• Kubernetes
• Linux Administration
• Windows Administration
• IIS/.NET
• Java Spring Boot
• CI/CD
• GitHub Actions
• DevSecOps
• Python
• PowerShell

Job areas

• Technology
• Software
• Engineering
• Security & Safety

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