Akhila M

Supported Azure cloud infrastructure and application modernization for MB Advantage, working with Azure VMs, AKS/Kubernetes, SUSE Linux, IBM WebSphere, Java applications, PostgreSQL, and DB2 across hybrid cloud environments. Managed Azure infrastructure with Terraform and Spacelift, including compute, networking, identity, Key Vault, private endpoints, and monitoring resources. Built a reusable Terraform-based Datadog monitoring module for Azure Linux VMs (agent installation, process checks, HTTP health checks, log collection, tagging) and integrated Key Vault for secure credential handling. Configured Datadog dashboards/monitors/alerts for infrastructure health, WebSphere JVM processes, availability, and service performance, and used telemetry/logs to support incident investigations and production readiness. Supported GitOps workflows with Helm, FluxCD, and troubleshooting using pod status, logs, and Kubernetes events. Implemented Kubernetes External Secrets/SecretStore to centrally m

Developed and operated an Azure-based agentic AI platform supporting AI agents, LLM services, cloud automation, and production workloads across environments. Built and maintained CI/CD pipelines with GitHub Actions, Jenkins, and Azure DevOps for builds, testing, Docker image creation, artifact publishing, deployment validation, and rollbacks. Deployed and supported LLM inference services using Ray Serve, vLLM, and NVIDIA Triton, and monitored GPU-backed workloads on AKS with visibility into utilization, memory, latency, and throughput. Managed deployments with Docker, Kubernetes, Helm, and Argo CD using GitOps principles. Built Python automation and REST API integrations to connect AI agents with cloud services and operational workflows. Implemented Human-in-the-Loop approvals, Open Policy Agent (OPA) guardrails for policy validation, and OpenTelemetry tracing for end-to-end request troubleshooting. Instrumented observability using Prometheus, Grafana, Loki, Jaeger/Tempo; supported MLf

Supported Informatica Intelligent Cloud Services (IICS) across AWS by building and maintaining CI/CD pipelines using Jenkins and Groovy shared libraries, and integrating automated workflows with GitHub Actions, Azure DevOps, GitLab CI/CD, and Harness. Managed infrastructure as code with Terraform and AWS CloudFormation, supported containerized workloads with Kubernetes and Docker, and used CloudWatch to investigate deployments and environment health. Coordinated release management, hotfixes, environment promotions, and rollback activities, improving build/release reliability through reusable pipeline components, documentation, and standardized troubleshooting practices. Managed artifacts using JFrog Artifactory and Nexus and implemented quality gates such as SonarQube in CI/CD.