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Shipra Rathore

Shipra Rathore

DevOps Engineer | MLOps

Talent
San JoseMember since August 2, 2026
EC2S3RDSELBEKSIAMRoute53CloudWatchCost ExplorerElastiCacheECRCodeCommitCodeDeployCodePipelineTerraformAnsibleGitHub ActionsJenkinsArgo CDDockerKubernetesIstioKubeflowMLflowBentoMLAmazon SageMakerScikit-learnTensorFlowPyTorchPandas
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About

DevOps Engineer with 6+ years of experience designing, automating, and operating AWS cloud infrastructure, CI/CD pipelines, and Kubernetes-based deployments, with hands-on specialization in MLOps (Kubeflow, MLflow, SageMaker). Automated manual operational workflows with Python, cutting workload by 50%; built GitOps-driven CI/CD pipelines using Terraform, Jenkins, GitHub Actions, and Argo CD; and cut monthly AWS costs by $3,000 through infrastructure optimization. Strong cross-functional collaborator with a consistent record of maintaining high-availability production systems.

Experience

MLOps Career Transition - Self-Directed

(2025-01)

Completed a structured, full-time transition into MLOps while managing full-time parental responsibilities, dedicating 20+ hours/week to hands-on technical reskilling.

  • Built and deployed an end-to-end ML pipeline on AWS EC2 (hosted on GitHub), covering experiment tracking with MLflow, model packaging with BentoML, and deployment as a production-ready API.
  • Developed hands-on proficiency in containerization (Docker), orchestration (Kubernetes), and CI/CD automation applied to ML workflows.

DevOps Engineer - Linqia Inc. - USA

(2023-01 - 2025-01)

  • Automated day-to-day operational tasks using Python, reducing manual workload by 50%.
  • Built and maintained AWS infrastructure as code with Terraform, ensuring consistent, repeatable deployments across 3 environments (staging, testing, and production).
  • Provided 24/7 on-call production support on a biweekly (alternate-week) rotation, coordinating with developers to resolve standard incidents within a 3-hour window and escalating high-priority issues immediately to maintain system uptime and reliability.
  • Managed Kubernetes (EKS) clusters supporting 100+ microservices, streamlining deployment pipelines and maintaining high availability of applications.
  • Reduced monthly AWS infrastructure costs by $3,000 by migrating service traffic from traditional load balancers to Istio service mesh, tracked and validated via AWS Cost Explorer.
  • Designed and maintained GitOps-based CI/CD pipelines (GitHub Actions, Jenkins, Argo CD) for continuous integration and deployment.
  • Automated monitoring and alerting via CloudWatch to support high-uptime production requirements.
  • Authored test plans and automated test scripts, expanding regression coverage across engineering initiatives.
  • Configured and managed core AWS services: EC2, S3, RDS, ELB, EKS, IAM, Route53, CloudWatch, Cost Explorer, ElastiCache, ECR, CodeCommit, CodeDeploy, CodePipeline.
  • Set up EKS clustering and orchestrated Docker containers for microservice workloads via Kubernetes Pods.

Full-Time Graduate Studies - International Technological University - San Jose, CA

(2020-01 - 2022-01)

Relocated to the United States to pursue a full-time Master's degree in Computer Science (see Education), building on prior DevOps and systems engineering experience in India.

Senior Specialist - Orange Business Services - India

(2019-06 - 2020-03)

  • Designed and led an automated, GitOps-based CI/CD build-and-release process using GitHub, Jenkins, and Ansible on Azure infrastructure.
  • Managed Git branching, merging, and release workflows for Java-based source code across the team.
  • Automated Azure cloud service provisioning using Terraform.
  • Established user account, file permission, and password policy standards.
  • Performed root cause analysis for production incidents.

System Analyst - HCL Technologies - India

(2015-01 - 2019-06)

  • Administered and maintained Red Hat Linux environments supporting critical engineering infrastructure.
  • Diagnosed and resolved system issues including server outages, memory/disk exhaustion, and hardware (DIMM) failures.
  • Managed user and group access controls across production systems.
  • Tracked and documented daily operational issues via status reporting to support continuity.
  • Maintained uptime and reliability of production systems and applications.

Education

MS - Computer Science - International Technological University (2022)

BTech - Computer Science - Dr. A.P.J. Abdul Kalam Technical University (2014)

Skills

DevOps EngineerMLOps

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