DevOps and AI Infrastructure Engineer

Location:
Hybrid / Remote Type: Full-time , Overlap with US hours
• 5+ years in DevOps, SRE or platform engineering, including hands-on Kubernetes in production. More key than years: you learn fast, go deep on unfamiliar systems on your own, and can show us something you taught yourself recently.
• Deep Azure

experience:
AKS, VNets, Azure Firewall, Application Gateway or Front Door, Key Vault, Entra ID and Azure Monitor. Working knowledge of AWS or GCP.
• Production experience operating LLM-backed applications across hosted model APIs and self-hosted models: model gateways, quota and capacity management, and model version upgrades with no customer impact.
• Production Go and Python. You have shipped Go services, CLIs or Kubernetes controllers, and Python for automation, data or AI pipelines, that other engineers depend on.
• Strong networking fundamentals: TCP/IP, subnetting, routing, DNS,



load balancing, TLS, NAT and firewall rule design. You can trace a dropped connection from pod to perimeter.
• Strong security fundamentals: identity and least privilege, secrets handling, encryption in transit and at rest, PKI, network segmentation, container and Kubernetes hardening, vulnerability management, secure CI/CD and the OWASP Top 10 for LLM Applications.
• Hands-on database operations with PostgreSQL or equivalent: HA, backup and restore, replication and query performance.
• Terraform at scale, plus Helm and a GitOps workflow.
• A record of scaling systems under real load
• Experience operating in a regulated or audited environment such as SOC 2, ISO 27001, FedRAMP, PCI or HIPAA. (write to [email protected])

📌 Devops And AI Infrastructure Engineer (Bengaluru)
🏢 WORKFUTR SQUARE
📍 Bengaluru