Headline

Helping Teams Build Reliable, Scalable ML Platforms on Google Cloud | Senior SRE / DevOps | GCP Professional ML Engineer | CKA + Istio Certified | Kubernetes • Vertex AI • MLOps

About

Senior Site Reliability Engineer with 16+ years across the infrastructure stack — from Linux and virtualization roots to ML platform reliability on Google Cloud today. Over the past few years I've focused on running production-grade ML infrastructure on GKE: reproducible pipelines, resilient model-serving, and multi-signal observability that keep platforms available and cost-efficient at scale. I own systems end to end, from architecture and Infrastructure as Code through delivery and day-two operations. Recent work includes migrating monolithic applications to microservices on GKE, standing up self-healing automation for lower environments, and driving meaningful FinOps savings by fixing over-provisioning and right-sizing GCP resources. Day to day I work with Kubernetes, Vertex AI, Istio/Anthos, Terraform, Apigee, and Datadog, with a strong bias toward automation and reliability. Certifications: Google Cloud Professional Machine Learning Engineer, Certified Kubernetes Administrator (CKA), and Istio Certified Associate (ICA).

Location

Bengaluru

AI stack

claude

gemini

github copilot

notebooklm

ollama

OpenRouter

Work experience

Senior Site Reliability Engineer at KR Elixir, Inc. - IT Services & Solutions, Sep 2022 - Present · 4 yrs, Bengaluru, Karnataka, India, • Build and operate end-to-end ML pipelines on Vertex AI Pipelines and Kubeflow (KFP), with model versioning and lineage tracked in Vertex AI Model Registry. • Automated model retraining on data-drift and schedule triggers, removing manual intervention from day-to-day operations. • Led the migration of monolithic applications to microservices on GKE, enforcing production-readiness reviews as a mandatory go-live gate. • Implemented Istio/Anthos service mesh across production — AuthorizationPolicy, DestinationRules, circuit breakers, traffic splitting, and fault injection. • Manage Google Cloud Load Balancer setup and route all external microservice traffic through Apigee X for API governance and security. • Built CI/CD pipelines in Jenkins and GitHub Actions with SonarQube, Fortify, and Qualys as standard SAST and vulnerability gates. • Established observability with Datadog synthetic monitoring and SLA/SLO dashboards in Looker Studio and BigQuery. • Deployed GenAI applications on GKE, including Vertex AI model serving and a production RAG pipeline backed by Cloud SQL, Spanner, and Firestore. • Designed and shipped an Agentic AI + MCP self-healing system for lower environments that diagnoses infrastructure failures, attempts auto-remediation, and escalates via PagerDuty with a full action log when unresolved. • Integrated NotebookLM with Confluence, Datadog synthetics, and alerting channels so the ops team resolves incidents with a single search. • Drove substantial infrastructure cost savings by eliminating over-provisioning, optimizing GCS with Autoclass, and applying region-aware configurations using Cloudability and native GCP tooling.

Site Reliability Engineer at Capgemini, Jul 2019 - Sep 2022 · 3 yrs 3 mos, Bangalore Urban, Karnataka, India, • Supported multiple Kubernetes-based Cisco network management applications, including Cisco Catalyst Center (formerly DNA Center), Prime Infrastructure, and Nexus, ensuring high availability and reliability across production environments. • Served as SME for Kubernetes and DevOps, managing Helm-based deployments and Linux infrastructure across AWS and GKE. • Built and maintained CI/CD pipelines with integrated artifact registries for versioned, reliable build and release management. • Automated infrastructure operations using Ansible and Python, exposing self-service actions through a Swagger UI where payload-driven requests triggered automatic disk extension and VM scale-up/scale-down. • Developed reusable Infrastructure as Code (IaC) modules to standardize and automate environment provisioning. • Delivered within a SAFe Agile model, collaborating across teams to standardize CI/CD and operational best practices.

Service Delivery Consultant at DXC Technology, Jun 2017 - Jul 2019 · 2 yrs 2 mos, Bengaluru, Karnataka, India, • Built infrastructure automation using Python and Ansible, including reusable playbooks for maintenance and configuration management. • Designed and maintained CI/CD pipelines with Jenkins, Git, Docker, Maven, and Bash for build, deployment, and release automation. • Configured Jenkins for Java builds and automated Docker image publishing to registries. • Assessed existing infrastructure and prepared documentation for AWS cloud migration.

Technical Services Specialist at IBM, Mar 2014 - Jun 2017 · 3 yrs 4 mos, Bengaluru, Karnataka, India, • Served as L3 SME for Linux infrastructure across 200+ servers, leading zero-downtime OS installations, upgrades, and migrations on RHEL (v5–v7) and SUSE Linux 11. • Delivered DR and system recovery, and implemented HA/clustering with Red Hat Cluster Suite. • Supported Unix/Linux environments in dynamic, mission-critical settings, with working knowledge of AIX 6.x/7.x and HP-UX. • Established operational best practices and ran technical competency programs.

Senior Technical Executive at NTT DATA Corporation, Nov 2011 - Mar 2014 · 2 yrs 5 mos, Bengaluru, Karnataka, India, • Delivered 24/7 production support as part of a 70+ member L2 team managing ~50,000 client servers against strict SLAs. • Administered VMware ESX 4.0 / ESXi 5.0 and contributed to vSphere 4.0 → 5.0 migrations. • Managed Linux server builds, LVM/filesystem administration, cluster failover/failback, and VM backups via Quantum vmPro. • Governed server lifecycle transitions (Build → Dev/QA/Pre-Prod/Prod), ran compliance audits, and handled L1 escalations.

Education

B E, Instrumentation technology, Visvesvaraya Technological University

St Joseph's High school, Hassan