Description

What You Will Be Doing

• Design and operate Azure infrastructure, including compute, networking, authentication, storage, certificates, and secrets.
• Support the adoption of newer LLM models and controlled deprecation of legacy models.
• Build and maintain Terraform-based infrastructure-as-code.
• Architect and manage Kubernetes platforms using Docker and Helm.
• Design and optimize CI/CD pipelines with GitHub Actions and Azure DevOps.
• Establish automated release processes and self-service environments for engineering teams.
• Leverage AI coding assistants, LLMs, AI agents, and AI-assisted automation to accelerate infrastructure development, scripting, testing, troubleshooting, log analysis, documentation, and repetitive operations.
• Troubleshoot production issues, support incident response, and configure Datadog monitoring and alerts.
• Optimize indexes and query performance for NoSQL databases.

What You Likely Bring

• 5+ years of software development experience, including 3+ years specializing in DevOps, cloud infrastructure, and platform engineering.
• 3+ years of experience with Azure and Kubernetes-based production platforms.
• Bachelor's degree in computer science, Engineering, Information Technology, or related field, or equivalent experience.
• Strong Azure, Kubernetes, Docker, Helm, Terraform, and CI/CD experience.
• Strong Python scripting skills: Bash experience is a plus.
• Experience managing certificates, secrets, identity, and access controls.
• Experience with Datadog, production troubleshooting, and incident response.
• Strong ownership, problem-solving, communication, and collaboration skills.

What Could Set You Apart

• Exposure to Google Vertex AI, LLM lifecycle management, AI-assisted automation, and NoSQL database optimization

Key Skills

Education

Any Graduate