Headline

Senior AI ML Platform Infrastructure Engineer @ Microsoft | Kubernetes Operators, GPU/ML Platform Services, MCP & AI Agents for Ops, SRE | Azure · AWS · GCP | 11+ yrs

About

I build and run the platforms other engineers deploy on. For 11+ years that has meant Linux and data-centre operations first, then multi-cloud infrastructure on AWS, Azure and GCP, then Kubernetes platforms — and now the AI-assisted layer that operates them. At Microsoft I own end-to-end platform engineering for distributed systems on Azure. I set up the SRE practice (SLOs, SLIs, error budgets, blameless postmortems, runbooks), built Kubernetes controllers and operators in Go with client-go and Kubebuilder, and standardised CI/CD in Azure DevOps so teams can ship and roll back on their own. On the AI side I built MCP servers and an agent framework that let AI assistants triage incidents, run RCA and act on Kubernetes and Docker infrastructure safely, developed AIOps/MLOps multi-agent systems for anomaly detection and self-healing, and designed platform services for GPU-accelerated training and inference, model serving and an ML API gateway. Before Microsoft: Staff DevOps Engineer at Juniper Networks (Mist AI), designing and operating Kubernetes platforms for cloud-native AI services — controllers across control plane and data plane, GitOps with Jenkins, Helm and ArgoCD, cluster upgrades with verified rollback. At Baxter I led the migration of enterprise applications from on-prem data centres to EKS and GKE under healthcare release regulation, with Terraform and Ansible across three clouds. Earlier: backend Python at Eurofins, reliability automation at Boeing, Linux estates and P2V migrations at IBM. Core stack: Kubernetes (EKS, GKE, AKS), Go, Python, Terraform, Helm, ArgoCD, Prometheus, Grafana, OpenTelemetry, MCP, RAG, gRPC. Certifications: CKAD, AWS Cloud Practitioner, RHCE, RHCSA. PG Certification in AI/ML, IIIT Hyderabad (2026). Published on client-side XSS detection (IJSR). I'm interested in Senior/Staff roles where the platform is the product: AI infrastructure, ML/LLMOps platforms, Kubernetes control planes, and SRE for AI systems. Bengaluru, Hyderabad or remote.

Location

Greater Bengaluru Area

AI stack

claude

deepmind

gemini

github copilot

glama

langchain

Work experience

Senior AI Platform Engineer at Microsoft, Aug 2024 - Present · 2 yrs 4 mos, Bengaluru, Karnataka, India, Architected and owned end-to-end platform engineering for distributed systems on Azure, running production at enterprise scale. Engineered Infrastructure-as-Code(IaC) with Terraform and continuous remediation to cut configuration drift across environments. Standardized CI/CD release pipelines in Azure DevOps with fast rollback; developer tools: GitHub Copilot, Cursor with quality gates, developer self-service and fast rollback. Built MCP servers and the OpenClaw agent framework with token-optimized RAG for AI-assisted Kubernetes control. Built GenAI modules on Azure OpenAI where LangChain and LangGraph agents retrieve embeddings from Qdrantvector database, instrumented with Langfuse, LangSmith and Arize AI to trace, latency, log and measure retrieval quality RAG evaluation of accuracy, latency, token-optimization techniques with experiment tracking and explainability; prompt engineering. Deep learning model fine-tuning and deployment (Scikit-learn, PyTorch, TensorFlow) on Azure ML; Jupyter feature engineering. Developed AIOps, MLOps and LLMOps multi-agent pipelines (CrewAI, AutoGen) for anomaly detection and self-healing. Designed AI/ML platform services: GPU training and inference, model serving, model versioning, an ML API gateway. Implemented observability with Prometheus, Grafana, OpenTelemetry traces and alerting, cutting MTTR through faster RCA. Built Kubernetes container orchestration controllers and operators (client-go, Kubebuilder) with CRDs, RBAC, webhooks. Provisioned bare-metal and virtualized Linux hosts (Redfish, UEFI, DHCP) with operating system deployment and hardening. Optimized I/O, compute, memory and HTTP caching performance for workloads across AMD and ARM architectures. Built data pipelines on Databricks (Spark/PySpark, Delta Lake, Unity Catalog) with Pandas, NumPy and Airflow. Built DevSecOps container image pipelines: vulnerability scanning (SAST/SCA), supply chain security, artifact management.

Staff MLOps Engineer at Juniper Networks, May 2023 - Aug 2024 · 1 yr 4 mos, Bengaluru, Karnataka, India, Staff platform engineering meets AIOps — Kubernetes operators and observability pipelines feeding anomaly detection for cloud-native AI services. Kubernetes platforms for Mist AI's cloud-native AI services. Designed and operated the Kubernetes platforms the AI services ran on, with fault tolerance and capacity as the design constraints. Developed Kubernetes controllers and operators across control plane and data plane to automate reconciliation. Built GitOps and CI/CD deployment workflows with Jenkins, Helm and ArgoCD from development through production. Ran cluster upgrades, patching and maintenance windows with verification and safe rollback. Implemented metrics, logs and traces observability feeding AIOps anomaly detection, triage and failure analysis. Developed backend automation and gRPC service integrations in Python and Go. Reviewed platform designs with cross-functional global teams on integration, reliability and capacity.

Senior DevOps Cloud Engineer at Baxter International Inc., Sep 2021 - May 2023 · 1 yr 9 mos, Bengaluru, Karnataka, India, Stepped up to senior cloud and Kubernetes engineering — led a regulated on-prem-to-EKS/GKE migration with multi-cloud Infrastructure-as-Code. Cloud and Kubernetes platform for a regulated healthcare company. Led the migration of enterprise applications from on-premises data centres to cloud-native Kubernetes on Amazon EKS and Google GKE. Provisioned, resized and upgraded multi-cloud infrastructure across AWS, Azure and GCP with Terraform and Ansible. Deployed and operated containerised distributed workloads on EKS and GKE with continuous delivery. Designed reusable CI/CD templates and Jenkins workflows to improve release quality, testing and rollback safety. Built environment isolation, verification and rollback controls for regulated healthcare release pipelines. Integrated AWS and GCP managed services through Python/Boto3; managed IAM for the platform. Troubleshot infrastructure, deployment and distributed-system issues in production.

Senior Cloud infrastructure Engineer at Eurofins IT Solutions India Pvt. Ltd, Sep 2020 - Aug 2021 · 1 yr, Bengaluru, Karnataka, India, Added software-engineering depth to the DevOps base — backend Python services, CI/TDD practice and RPA automation pipelines. Building Python web apps having large volumes of data using popular web frameworks (e.g. Django, Flask etc.) Working with relational databases (MySQL and PostgreSQL) and NoSQL databases (Cassandra). Building large, scalable distributed systems with good understanding of microservices and SOA architecture and associated principles Experience working with, or an interest in Agile Methodologies such as Extreme Programming (XP) and Scrum Knowledge of software best practices like Test-Driven Development (TDD) and Continuous Integration (CI) UI automation of web applications using Rest API , postman, Graph API. Worked on outlook email automation for segregating email with automation using EWS. Automation scripting and web development in python . Good Exposure on Jobs in Orchestrator and scheduling them. Creating documents for projects like PDD , TDD and SDD for business process automation like invoice processing , CRM automation Designed and developed backend applications in Python with Flask and Django for enterprise workflows. Managed MySQL and PostgreSQL through ORM-based data access and query optimisation. Built modular data-processing and REST integration workflows in Python. Wrote deployment scripts, environment configuration, monitoring and logging for test and delivery cycles. Automated repetitive business processes (invoice processing, CRM) with UiPath RPA.

Reliability Engineer at Boeing, Jul 2018 - Sep 2020 · 2 yrs 3 mos, Bengaluru, Karnataka, India, Moved from systems administration into DevOps and reliability engineering — deployment tooling and Ansible/Python automation on Azure and AWS (2018–19), then ownership of production application reliability, patching/upgrade coordination and compliance controls (2019–20). Currently playing the role of Application Manager who is responsible to support the operation and maintenance of all production applications in Product Systems. Focus on the health of applications as they move through their lifecycle to maximize business value and reduce sustaining costs. Coordinate with Plan and Build resources for ITI End of Life/patch/upgrades for Database,Hardware and Operating Systems requests. Gather and analyze information from different systems and work with the team on improvements and fixes. Support Administrative and oversight requests including SOX, FAA accreditation and other control.Interface and support the Continuity, Compliance, Application Information Administration and Audit Readiness Services Developed Python automation for infrastructure reliability, monitoring and operational workflows across production applications. Implemented reusable Ansible playbooks for infrastructure and configuration automation. Integrated development, build and deployment tooling across Azure and AWS environments. Troubleshot infrastructure and application issues across cloud, Linux and virtualised environments. DevOps Engineer phase (Jul 2018 – Mar 2019): invoice and PDF automation with OCR and trained bots for the procurement team; AWS EC2, RDS and CloudWatch integrations; Ansible playbooks for configuration management; Shell and Python 3 scripting with Django/Flask utilities; Pride@Boeing appreciation award for license-management automation.

Education

PG Certification in Artificial Intelligence and Machine learning, Artificial Intelligence, International Institute of Information Technology Hyderabad (IIITH)

Bachelor of Engineering (B.E.), Computer Engineering, Rungta College of Engineering & Technology Kohka-Kurud Bhilai R1