Aug 2025 – Present · 7 mos · India · Remote

Mar 2023 – Jul 2025 · 2 yrs 4 mos · India · Remote

• Promoted from MTS2 to MTS3 for exceptional contributions in Kubernetes migration, security automation, and cost
• optimization.
• Managed and scaled Kubernetes clusters using Helm, KOPS, and AWS, ensuring high availability, scalability, and
• performance for critical workloads.
• Designed and implemented monitoring and alerting systems using Prometheus, Grafana, ELK Stack, and PagerDuty,
• reducing incident response time by 30%.
• Automated infrastructure provisioning and deployment processes using Terraform, ArgoCD and Jenkins to standardize
• declarative infrastructure management and automated deployments, reducing manual intervention and improving
• deployment efficiency.
• Collaborated with cross-functional teams to improve system reliability, scalability, and security, ensuring 99.9% uptime for
• production environments.
• Conducted root cause analysis (RCA) for critical incidents and implemented preventive measures to reduce recurrence.
• Led on-call rotations, swiftly resolving critical incidents and minimizing business impact through proactive monitoring and
• automation. Developed runbooks and incident management playbooks, streamlining resolution processes and reducing
• response times. Automated log analysis and remediation tasks using Python and shell scripting, cutting manual toil by
• 35%.

Mar 2021 – Feb 2023 · 1 yr 11 mos · India · Remote

• Migrated from self-managed Kubernetes clusters to Amazon EKS and Azure AKS, enhancing scalability, security, and
• operational efficiency.
• Strengthened security across infrastructure, containers, and cloud environments by enforcing Kyverno/OPA policies, RBAC,
• and CIS Kubernetes benchmarks.
• Optimized cloud costs by 20% through autoscaling, right-sizing resources, and leveraging AWS Spot Instances for
• non-production workloads.
• Developed automation scripts in Python, Go, and Bash for infrastructure provisioning, log analysis, metrics collection and
• remediation, reducing manual toil.

Mar 2023 – Present · 3 yrs · Remote

• Sagar.Utekar will help you to learn DevOps, Cloud, SRE, Programming, Open Source and prepare you for interviews.
• Also, this will give you an easy explanation of the above topics in the easiest language with hands-on tutorials.

Aug 2019 – Mar 2021 · 1 yr 7 mos · Pune Area, India

• Automated repetitive operational tasks using Docker, Kubernetes, Terraform, and Jenkins, improving operational
• efficiency by 25%.
• Implemented observability solutions using Datadog and Azure Kubernetes Service (AKS) for real-time monitoring, logging,
• and troubleshooting of infrastructure.
• Worked on infrastructure optimization, reducing cloud costs by 15% through resource utilization analysis and scaling
• strategies.
• Provided technical guidance and mentorship to junior team members, fostering a culture of continuous learning and
• improvement.
• Implemented Infrastructure as Code (IaC) best practices, migrating legacy infrastructure to Terraform-managed
• environments, improving deployment speed and consistency, significantly improving system reliability.
• Worked on high-priority production issues, reducing MTTR (Mean Time to Resolution) by 30% through improved incident
• handling and automation.
• Collaborated with security teams to enforce IT security policies around certificates, encryption, and access controls.

Jul 2018 – Aug 2019 · 1 yr 1 mo · Pune, Maharashtra, India

• Led a team of 5 members to design and implement CI/CD pipelines using Jenkins, Docker, Kubernetes, and SonarQube,
• reducing deployment time by 20.
• Played a key role in developing an IBM product, delivering training sessions on Docker, Kubernetes, Helm, and Python to
• internal teams.
• Automated testing and deployment processes, improving release cycle efficiency and reducing manual errors.
• Worked closely with Dev & QA teams, implementing automated test pipelines and improving test coverage and deployment
• success rates.
• Maintained high-traffic, client-facing production applications in virtualized and containerized environments, ensuring
• reliability and performance.

Feb 2018 – May 2018 · 3 mos · Pune, Maharashtra, India

• Led a team of 4 members to optimize Unix server performance, creating a proof-of-concept (POC) and developing shell
• scripts for performance monitoring and optimization.
• Conducted performance analysis and implemented improvements, resulting in a 15% increase in server efficiency.
• Gained hands-on experience with Linux/Unix systems, shell scripting, and server optimization techniques.