Open to opportunities

sagar saswade

@sagarsaswade

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DevOps engineer automating cloud infrastructure and CI/CD pipelines for scalable, secure deployments.

India

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What I'm looking for

I seek DevOps or cloud roles where I can drive automation, implement secure CI/CD, improve reliability, and grow within a collaborative, engineering-driven team.

I am a DevOps engineer with 3+ years of experience automating AWS cloud infrastructure, building end-to-end CI/CD pipelines, and managing containerized deployments using Jenkins, Terraform, Docker, and Kubernetes. I have a strong focus on Infrastructure as Code, observability, and security, having reduced release times by 40% and improved system uptime by 25% through automation and monitoring.

I collaborate closely with developers, QA, and project managers to deliver production-ready software efficiently and securely, implementing modular Terraform, Prometheus/Grafana monitoring, Trivy and SonarQube scanning, and least-privilege IAM and RBAC controls. My work emphasizes scalability, cost efficiency, and reliability across dev, stage, and prod environments.

Experience

Work history, roles, and key accomplishments

Current

DevOps Engineer

Current

Emergents Softwares

Oct 2024 - Present (1 year 1 month)

Designed and maintained AWS EKS clusters and end-to-end Jenkins CI/CD pipelines, reducing infrastructure setup time by 60% and enabling zero-downtime deployments while improving monitoring and security posture.

EC2 VPC IAM S3 Cloudwatch Kubernetes Docker Jenkins Terraform Prometheus Grafana Shell Scripting

Associate DevOps Engineer

Exa Mobility

Mar 2024 - Sep 2024 (6 months)

Built Jenkins CI/CD pipelines with secure approvals and automated rollback, managed Terraform-based AWS environments and security controls, contributing to 15% cost reduction and improved compliance.

Jenkins Terraform AWS IAM Trivy Kubernetes Prometheus CI CD

Junior DevOps Engineer

Seven Hills Industries

Sep 2022 - Feb 2024 (1 year 5 months)

Developed Jenkins pipelines and containerized legacy applications for Kubernetes test clusters, improving deployment success rate to 95% and reducing manual release effort by 50%.