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Bharghava Sheelam

Bharghava Sheelam

DevOps Engineer

Talent
Chandigarh, Daman & Diu, Jammu, Lakshadweep, New DelhiMember since May 1, 2026
DevOps EngineerPythonKubernetesDockerTerraformAwsGithub ActionsJenkinsLinuxCicd PipelinesSreSite Reliability Engineer
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DevOps EngineerPythonKubernetesDockerTerraform

About

DevOps Engineer with 4.8+ years of total IT experience, including 3.2+ years of hands-on DevOps and cloud engineering and approximately 1.6 years in enterprise middleware and application production support. Currently designs and supports CI/CD pipelines, containerized workloads on AWS EKS, and Infrastructure as Code using Terraform, GitHub Actions, Docker, Kubernetes, Helm, and Argo CD for a high-volume retail client. Built this DevOps foundation on top of an earlier role providing 24x7 production support for IBM MQ, MFT, IBM IIB, and DataPower middleware, giving strong grounding in incident management, root cause analysis, and ITIL-driven operations.

Comfortable owning the full path from infrastructure provisioning and pipeline design through production monitoring and on-call incident resolution.

Experience

DevOps Engineer at Tata Consultancy Services (TCS) (2023-03 – Present)

Client: BJ's Wholesale Club, USA

  • Designed and implemented end-to-end CI/CD pipelines for Java-based microservices using GitHub Actions and Gradle.
  • Automated build, test, security scanning, and deployment workflows following DevSecOps best practices.
  • Containerized applications using Docker multi-stage builds and pushed images to ECR, enabling consistent CI/CD pipelines.
  • Managed Kubernetes (EKS) workloads, including deployments, rolling updates, and rollbacks, ensuring zero-downtime releases.
  • Developed and maintained Helm charts for standardized microservice deployments across all environments.
  • Implemented GitOps-based continuous delivery using Argo CD for automated and auditable deployments.
  • Provisioned AWS infrastructure using Terraform modules, with remote state management in S3 and DynamoDB.
  • Monitored application and infrastructure health using Prometheus, Grafana, and the ELK Stack.
  • Automated routine operational tasks and repetitive runbook steps using shell scripts, reducing manual effort for the on-call team.
  • Supported production operations through on-call incident handling, resolving issues within SLA and coordinating with application and infrastructure teams.
  • Collaborated with development teams on branching strategies, pull request validations, and quality gates.
  • Maintained Confluence documentation including runbooks, troubleshooting guides, and operational procedures.

L2 Support Engineer at Tata Consultancy Services (TCS) (2021-09 – 2023-03)

Client: ZF, Germany

  • Provided 24x7 production support for business-critical middleware and enterprise applications, ensuring adherence to SLA commitments.
  • Investigated and resolved production incidents, performed impact analysis, and coordinated with development and infrastructure teams for timely resolution.
  • Performed root cause analysis (RCA) for recurring issues and implemented preventive actions to improve system stability.
  • Managed incidents, problems, and change requests using ServiceNow and JIRA in alignment with ITIL service management practices.
  • Monitored and supported IBM WebSphere MQ, IBM Integration Bus (IIB), IBM DataPower, and Managed File Transfer (MFT) platforms in production.
  • Managed queue monitoring, message troubleshooting, and load balancing activities in IBM MQ environments to ensure data flow continuity.
  • Supported end-of-day processing, sales data flows, and critical business integrations for retail operations.
  • Monitored application health, logs, and data flows using GTM, Scalyr, and Grafana dashboards to proactively detect issues.
  • Automated recurring operational activities using Shell scripting, reducing manual effort and improving team efficiency.
  • Prepared and maintained SOPs, runbooks, and troubleshooting guides in Confluence to improve MTTD and MTTR.
  • Gained initial hands-on exposure to AWS, Docker, Kubernetes, and CI/CD pipelines, laying the foundation for the transition into DevOps.

Education

Bachelor of Science in Computer Applications – SK University (2019)

Skills

DevOps Engineer

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