DevOps Engineer

Overview

Our team is building AI agent infrastructure that runs at enterprise scale on Microsoft Azure. We need a DevOps engineer who lives and breathes Azure - someone who can own our CI/CD pipelines, harden our Kubernetes deployments, and keep our infrastructure reliable, secure, and cost-efficient. You'll be the person the dev team turns to when things need to be deployed, monitored, or debugged at the infra level. If you're the kind of engineer who gets excited about a clean Terraform plan and a green Jenkins build, this is your role.

Key Responsibilities

• Design, build, and maintain CI/CD pipelines using Jenkins (primary) and related tooling
• Manage and optimize Azure infrastructure - AKS clusters, networking, IAM/RBAC, Azure SQL, storage, and more
• Automate infrastructure provisioning using Terraform or equivalent IaC tools
• Monitor system health, set up alerting, and drive incident response for production environments
• Implement security best practices across cloud resources, container images, and pipeline configurations
• Support the development team with environment setup, deployment automation, and troubleshooting
• Manage secrets, certificates, and access control across environments (Azure Key Vault, Entra ID)
• Write Python scripts for automation, tooling, and operational workflows
• Document infrastructure architecture, runbooks, and operational procedures
• Drive cost optimization across Azure services - right-sizing, reserved instances, resource cleanup

Required Skills & Qualifications

• 2-5 years of professional DevOps / SRE / Platform Engineering experience
• Deep hands-on experience with Microsoft Azure - this is non-negotiable (AKS, VNet, Entra ID, Azure DevOps, Container Registry, Azure SQL, etc.)
• Strong experience with Jenkins - building, maintaining, and scaling pipelines
• Solid proficiency in Python for scripting and automation
• Experience with Infrastructure as Code (Terraform strongly preferred)
• Hands-on Kubernetes experience - deployment, scaling, troubleshooting, Helm charts
• Working knowledge of Docker - building, optimizing, and securing container images
• Understanding of networking fundamentals (DNS, load balancers, NSGs, VPNs)
• Experience with monitoring and logging tools (Prometheus, Grafana, Azure Monitor, Log Analytics)
• Comfortable working in Linux environments

Nice to Have

• Azure certifications (AZ-104, AZ-400, AZ-305)
• Experience with GitOps workflows (ArgoCD, Flux)
• Familiarity with service mesh technologies (Istio, Azure Service Mesh)
• Exposure to security scanning tools (Trivy, Snyk, Microsoft Defender for Cloud)
• Experience in enterprise environments with compliance requirements
• Familiarity with Ansible, Puppet, or Chef for configuration management

What You'll Get

• Own the infrastructure for a cutting-edge AI agent platform at a global semiconductor company
• Work directly with engineering leadership in a flat, no-BS team structure
• Build from near-scratch - shape the infrastructure architecture rather than inherit tech debt
• Exposure to AI/ML workloads and their unique infrastructure demands
• On-site role at our Bangalore office with a collaborative, in-person team culture