Platform Engineer III

5–8 years of core DevOps experience with a strong track record of building infra from scratch. Deep expertise in Docker, Kubernetes, Helm, and container orchestration. Hands-on with Terraform, Crossplane, and declarative infra management. Strong experience in CI/CD pipelines (ArgoCD, Jenkins, GitOps workflows) and building custom automation. Proven ability to deploy AI/LLMs & agent workflows reliably in production. Expertise in defining/tracking AI workflow metrics and observability of multi-turn queries. Mandatory expertise with vector databases – tuning, scaling, and optimizing retrieval performance. Proficiency in monitoring & logging tools (Prometheus, Grafana, OpenTelemetry, ELK/OpenSearch). Familiarity with service mesh (Istio/Linkerd), networking, and multi-cluster workloads. Proficiency in scripting/programming (Python, Bash, Go preferred). Knowledge of security best practices in cloud environments (IAM, secrets, secure networking).

Design, implement, and scale infra across AWS, GCP, or Azure; drive high availability, multi-AZ, and DR/BCP strategies. Build and manage Kubernetes clusters, service mesh, and ingress controllers. Architect CI/CD pipelines and build custom deployment portals and automation tools. Define and track key metrics for AI/LLMs and agent workflows. Implement end-to-end tracing for multi-turn queries and real-time pipelines. Manage and tune vector databases for high concurrency and resilience. Design autoscaling, failover, and health-check–based routing strategies. Write Bash/Python/Go scripts for operational tooling and automation. Partner with AI and engineering teams to support complex workflows and drive DevOps best practices.