Headline

Platform Engineer | SRE | Kubernetes SME (EKS) | AWS | CI/CD | Terraform | Python Automation

About

Senior Site Reliability Engineer / Kubernetes SME with 8+ years of experience in Kubernetes platform engineering, cloud infrastructure, and production reliability. Expert in Kubernetes, Amazon Web Services EKS, Terraform, Linux, Docker, CI/CD, and infrastructure automation, with strong experience in designing and operating highly available, secure, and scalable cloud-native platforms. Proven track record in improving platform reliability, optimizing performance, reducing MTTR, and automating operational workflows using observability and SRE best practices (SLI/SLO/Error Budgets). Skilled in cluster lifecycle management, incident response, observability, and large-scale microservices environments. Currently expanding expertise in MLOps, AI/ML infrastructure, and GPU-aware Kubernetes platforms for scalable machine learning workloads

Location

Bengaluru

AI stack

codex

claudecode

Work experience

Senior Site Reliability Engineer at Akamai Technologies, Dec 2024 - Oct 2025 · 11 mos, Bengaluru, Karnataka, India, Served as Senior SRE and Kubernetes SME for Akamai Linode Cloud, managing production-grade platforms to support scalable microservices, and cloud-native workloads. Designed and maintained a highly available Kubernetes platform architecture, ensuring 99.95%+ service uptime, and minimizing infrastructure-related incidents across multi-environment infrastructure. Operationalized core SRE practices by defining SLIs, SLOs, and error budgets while reducing MTTR by over 50% through detailed runbooks, automated diagnostics, and incident response workflows. Led cluster lifecycle management and zero-downtime migrations, seamlessly executing Kubernetes upgrades, node rotations, cluster expansions, and control plane compatibility validations. Built reusable Infrastructure as Code (IaC) modules using Terraform to provision clusters, node groups, load balancers, and core networking/storage layers. Architected and optimized GPU-accelerated infrastructure for AI/ML workloads by leveraging NVIDIA CUDA and GPU time-slicing to maximize hardware utilization and efficiently share compute resources across dense microservices. Automated platform operations using Python scripting to eliminate manual toil for health validations, cluster auditing, and incident diagnostics. Designed and optimized CI/CD pipelines via Jenkins and GitHub Actions, embedding automated validation, security checks, and canary deployment strategies for microservices. Implemented a production-grade observability stack using Prometheus, Grafana, and Alertmanager to monitor cluster health, node saturation, and SLO compliance. Acted as a core responder for P1/P2 incidents, driving root cause analysis (RCA), traffic mitigation, emergency scaling, and post-mortem documentation. Mentored junior SREs and developers on Kubernetes production readiness standards, architecture best practices, and operational excellence.

Cloud Support Engineer at Amazon Web Services (AWS), Apr 2022 - Dec 2024 · 2 yrs 9 mos, Bengaluru, Karnataka, India

Senior Software Engineer at HCL Technologies, Aug 2021 - Jan 2022 · 6 mos, Pune Division, Maharashtra, India

System Engineer at Tata Consultancy Services, Sep 2020 - Apr 2021 · 8 mos, Bengaluru, Karnataka, India

Senior System Engineer at Refinitiv, Aug 2019 - Sep 2020 · 1 yr 2 mos, Bengaluru Area, India

Education

Bachelor of Technology (B.Tech.), Electronics and Communications Engineering, NMIET/ BPUT ODISHA

Kendriya Vidyalaya, CCL, Ranchi, Jharkhand