Sarvesh Kothekar

About Sarvesh Kothekar

DevOps Engineer with 5+ years of hands-on experience in Cloud Infrastructure (AWS, Azure), Kubernetes (EKS, AKS, GKE), CI/CD Pipelines, Automation, Infrastructure as Code, and Site Reliability practices. I specialise in building scalable, secure, and cost-efficient cloud platforms while enabling fast and reliable software delivery.My core expertise includes Kubernetes administration, cluster operations, multi-environment deployments, Helm chart management, Rancher-based cluster management, and end-to-end lifecycle upgrades. I have deep experience managing 10+ EKS clusters and leading modernisation initiatives across cloud environments.I work extensively on AWS services, including EC2, VPC, IAM, EKS, S3, RDS, Lambda, CloudWatch, ELB, and networking components—focusing on cost optimisation, performance tuning, security hardening, and architectural improvements. I frequently run POCs to evaluate and replace AWS managed services with open-source, cost-effective alternatives.My CI/CD experience spans GitLab CI, GitHub Actions, Azure DevOps, Jenkins, and Octopus Deploy, where I build reusable templates, implement multi-stage deployment strategies, and integrate automated quality and security checks into the delivery pipeline.I am highly proficient in Infrastructure as Code (Terraform) and configuration management using Ansible and Chef, enabling consistent provisioning and automated deployments across environments. I have also worked extensively with Python and Shell scripting to eliminate manual tasks and accelerate release workflows.I manage and maintain full observability stacks, including the ELK/Elastic Stack, Prometheus, Grafana, Alertmanager, and PagerDuty, ensuring proactive monitoring, alerting, and incident response. Additionally, I oversee a self-managed Confluent Kafka ecosystem, JFrog Artifactory, Airflow & spark clusters and monthly AMI patching and infrastructure security scanning to maintain compliance and best practices.I am passionate about cloud-native engineering, DevOps automation, SRE principles, cost optimisation, and driving operational excellence within teams. I enjoy solving infrastructure challenges, improving reliability, and delivering long-term scalable solutions.Open to roles in DevOps Engineering, Platform Engineering, Cloud Engineering, and SRE, where I can contribute to platform reliability, automation, and modern DevOps transformation.

Experience

1. Senior Devops Engineer

   Nielsen

   Nov 2024 — Present · Mumbai, IN

   Senior DevOps EngineerAs a Senior DevOps Engineer, I lead a team of four junior engineers while managing and optimizing a large-scale cloud infrastructure built primarily on AWS and Kubernetes. My role focuses on improving reliability, cost efficiency, automation, and operational excellence across both platform and application layers.Key Responsibilities:# Manage and refine AWS infrastructure, acting as an admin across multiple cloud services and environments.# Oversee 10+ EKS clusters, perform upgrades, troubleshoot workloads, and manage cluster operations using Rancher.# Lead cost and performance optimization initiatives to improve system efficiency and reduce cloud expenditure.# Conduct POCs to evaluate and replace AWS-managed services with scalable, cost-effective open-source alternatives.# Write and maintain Terraform scripts extensively for infrastructure provisioning and multi-environment automation.# Create and manage Helm charts, supporting standardized and reusable Kubernetes deployment patterns.# Work with Chef cookbooks and Ansible playbooks for infrastructure configuration and deployments.# Design modular and reusable GitLab CI pipelines to streamline builds, testing, deployment, and security scanning.# Manage centralized ELK-based logging systems and maintain full observability stack using Prometheus, Grafana, Alertmanager, and PagerDuty.# Maintain a self-managed Confluent Kafka setup and oversee JFrog Artifactory for artifact and package management.# Responsible for monthly AMI patching, OS updates, and end-to-end infrastructure security scanning.# Support ETL workflows by provisioning and maintaining Airflow and Spark clusters.# Develop automation using Shell and Python scripts to eliminate manual processes and increase operational efficiency.This role strengthened my expertise in cloud infrastructure, Kubernetes operations at scale, open-source ecosystem tooling, observability engineering, and leading high-performing DevOps teams

Education

• SIES Graduate School Of Technology

  Bachelor of Engineering - BE, Electrical, Electronics and Communications Engineering

  2016 — 2020