Seven years in platform engineering

Experience

Platform engineering lead with seven years of experience, now leading an eight-person team that owns the compliance path for cloud compute across 500+ AWS and 100+ GCP accounts. The thread running through all of it: build infrastructure where compliance is inherited rather than chased.

Core competencies

Cloud & Kubernetes

  • AWS
  • Google Cloud
  • Kubernetes
  • Helm
  • Docker

Infrastructure as Code

  • Terraform
  • Terragrunt
  • CloudFormation
  • Packer
  • Ansible

CI/CD

  • GitLab CI
  • GitHub Actions
  • GitOps
  • Buildah
  • Artifactory

Security & Compliance

  • IAM
  • OIDC
  • permission boundaries
  • SCPs/RCPs
  • CIS
  • SBOM

Languages & AI

  • Python
  • Amazon Bedrock
  • MCP

Timeline

Where I've worked

Roche Information Solutions India

Acting Platform Lead | DevOps Engineer · Pune

Jul 2023 – Present

Own architecture, roadmap and technology direction for the internal developer platform serving three enterprise stakeholder groups.

Platform development

  • Self-service multi-cloud IAM

    Replaced ticket queues with on-demand role vending. On GCP, Workload Identity Federation for keyless CI/CD authentication; on AWS, OIDC federation issuing temporary credentials constrained by permission boundaries.

  • Patching platform — service owner

    A serverless, self-service system letting engineers patch EC2 instances with automated status reporting. Built on AWS Systems Manager, promoting validated patches from dev to prod with concurrency control. Patches 1,000+ instances monthly, cut the cycle from a week to one day, used by 10+ teams across 100 AWS accounts. The GCP version is in progress on VM Manager and Cloud Functions.

  • Pipeline generator

    A Python and Jinja engine that renders complete GitLab CI and GitHub Actions pipelines from declarative YAML models.

  • Multi-cloud Kubernetes fleet

    A dynamic build fleet on EKS and GKE processing 1,000+ jobs weekly. Provisioned with Terragrunt, isolating 10 tenants via network policies and resource quotas. GKE autoscaling and Karpenter on EKS, with Buildah for rootless container builds.

  • OS image factory

    Co-architected a hybrid image pipeline delivering 5 OS families and 20+ compute variants across AWS and GCP, including GPU images validated by automated test-pod deployment on GPU-enabled clusters.

  • Day-2 operations

    Directed the automated release pipeline for monthly OS updates under QMS workflows with SBOM and CIS enforcement. Drove $10K in quarterly storage savings through automated image lifecycle and retirement analytics.

  • Secure account provisioning

    Automated rollout of AWS SCPs and RCPs and GCP Organization Policies through a Terraform, Python and Jinja pipeline. Removed public internet build dependencies by introducing Artifactory as a package proxy and compliance-artifact store.

  • GenAI developer tooling

    An Amazon Bedrock-backed log analyser with a Python pipeline that cleans and deduplicates input to control token spend, and an autonomous code-review agent that flags anomalies in merge requests for human reviewers.

Leadership

  • Team leadership

    Lead an eight-person team, owning backlog, release management and stakeholder communication. Hired six engineers against an in-house technical bar.

  • Technical strategy

    Directed the GitHub Actions versus ArgoCD evaluation that selected the team's CI orchestrator.

  • Developer advocacy

    Established documentation standards — product guides, FAQs and technical wikis — and delivered architecture briefings to 200+ cross-functional stakeholders.

  • Migration execution

    Leading the GitLab to GitHub migration and pipeline re-architecture with a three-person team. Represented the platform at international PI planning in Roche Switzerland (2025).

Amazon Development Centre India

DevOps Engineer | Primary On-Call SPOC · Hyderabad

Mar 2022 – Jun 2023

Resolved critical platform limits for TB-scale data pipelines and led incident management as primary on-call, driving root cause analyses and authoring the runbooks the rotation still uses.

Highlights

  • High-throughput serverless pipeline

    Resolved execution limits on a TB-scale ingestion pipeline by re-architecting it as distributed serverless workloads, orchestrating independent read, write and process stages with SQS and Step Functions plus custom file indexing.

  • Serverless backends

    Internal data-aggregation tools on a fully serverless AWS stack, defined with AWS CDK and using Boto3 for cross-account API calls.

  • Incident management

    Primary on-call lead for high-severity production incidents. Drove root cause analyses, implemented preventative mitigations, and authored the SOPs and runbooks the rotation still uses.

Tata Consultancy Services

AWS DevOps Engineer · Nagpur

Jul 2019 – Mar 2022

Automated disaster recovery, owned Jenkins CI/CD pipelines for microservices, and provisioned AWS infrastructure with Terraform and CloudFormation for a hybrid cloud migration.

Highlights

  • Automated disaster recovery

    A Jenkins job triggered by SQS on instance-termination events restores instances and databases with no manual step.

  • Jenkins CI/CD ownership

    Shared libraries and multibranch pipelines for microservices and micro frontends, plus Kubernetes deployment and pod troubleshooting support.

  • Infrastructure as Code

    Provisioned AWS with Terraform and CloudFormation using remote state and reusable modules, delivering a hybrid cloud migration with Packer-built AMIs.


Education

B.E. Electronics & Telecommunication

G.H. Raisoni College of Engineering, Nagpur

2019 CGPA 8.17