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 important than years: you learn quick, 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