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Platform Engineer with 5+ years in AWS, Terraform, and GitOps
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Platform Engineer with 5+ years building and operating AWS-based platform infrastructure for BP across 20+ AWS accounts. Experienced in Terraform, Kubernetes (EKS), GitHub Actions, and GitOps architectures supporting multi-environment deployments, standardized CI/CD workflows, and secure cloud operations.
Vellore Institute of Technology
Bachelor of Technology · Computer Science & Engineering
August 1, 2016 – June 30, 2020
Infosys
Senior Platform Engineer
February 1, 2021 – Present
Bengaluru, Karnataka, India
EKS & GitOps Platform, BP (British Petroleum)
January 1, 2023 – Present
Built Terraform modules for VPC, EKS cluster, managed node groups, and ECR, with S3 remote state and DynamoDB locking, replicated across Dev, Test, UAT, and Prod. Set up GitHub Actions CI to detect changed microservices, build only that image, tag with commit SHA, run Trivy scans, and push to ECR, keeping build times under 5 minutes per service. Worked on Kubernetes workload optimization including liveness/readiness probes, resource requests/limits, and pod scheduling improvements for stable application deployments. Implemented GitOps using ArgoCD app-of-apps pattern with ArgoCD Image Updater watching ECR, new image versions sync automatically to the cluster via Helm, no manual kubectl operations. Implemented centralized monitoring for Kubernetes workloads and infrastructure using Prometheus and Grafana, managed through ArgoCD across all environments. Tech Stack: AWS (EKS, ECR, VPC, IAM, Secrets Manager), Terraform, GitHub Actions, ArgoCD, ArgoCD Image Updater, Helm, Docker, Prometheus, Grafana, Trivy
Serverless Integration Platform, BP (British Petroleum)
February 1, 2021 – December 1, 2022
Built a centralised Azure Pipeline for a mono-repo of 35-40 interfaces (each with 3-4 Lambdas, S3, EventBridge, Step Functions), then extended to 5–6 repos using a detect-folder YAML strategy, deploying only the changed interface across all environments. Provisioned all AWS infrastructure using CloudFormation and SAM across 30+ accounts, enforcing IAM boundaries and cutting manual provisioning effort by 50%. Enforced SonarQube and Checkmarx quality gates and centralized secrets management using AWS Secrets Manager to strengthen application security and reduce critical vulnerabilities in production deployments. Tech Stack: AWS (Lambda, S3, DynamoDB, SQS, SNS, EventBridge, Step Functions, Secrets Manager, CloudWatch, IAM), CloudFormation, SAM, Azure Pipelines, Azure Repos, SonarQube, Checkmarx, Grafana, YAML
AWS Certified DevOps Engineer, Professional
Digital Badge
June 1, 2026 – Present
GitHub Actions Certified
Digital Badge
June 1, 2026 – Present
Anthropic AI Fluency, Framework & Foundations
Digital Badge
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's experience across multiple AWS accounts and environments (Dev, Test, UAT, Prod) at a large organization like BP suggests adaptability and experience with enterprise-level operations. Their involvement in defining mono-repo strategies and PR standards indicates a focus on team collaboration and process improvement. The breadth of technologies used (AWS, Azure, Kubernetes, Serverless) shows a willingness to learn and adapt to different technical landscapes, which aligns well with a dynamic engineering culture. The certifications further demonstrate a commitment to continuous learning.
Soft Skills & Operational Fit
The candidate demonstrates strong operational fit through their experience in defining CI/CD governance, infrastructure standards, and security compliance. Their mentoring experience suggests good communication and leadership potential. The ability to reduce deployment failures and provisioning time indicates a results-oriented approach. However, without specific soft skill assessments, a deeper understanding of their collaboration and problem-solving style is limited.