Summary

Dynamic Cloud DevOps Engineer with a proven track record of 5+ years , specializing in cloud infrastructure management and CI/CD pipeline development. Expert in leveraging GCP and Azure to enhance system resilience and security compliance. Passionate about optimizing performance and driving cost efficiencies, while fostering collaboration across teams to achieve outstanding results

Experience
Dunnhumby, Cloud DevOps Engineer/SRE
03/2024 – Present | Gurgaon

A global leader in customer data science, helping bussiness to deliver great customer experiences.

  • •Designed and managed cloud infrastructure on GCP and Azure, enabling product teams to deploy scalable, secure, and cost-optimized environments
  • •Optimized cloud resource utilization through rightsizing, autoscaling, and workload scheduling, reducing unnecessary cloud expenditure.
  • •Utilized Kubernetes, Docker, and Helm for container orchestration and deployment automation, facilitating seamless operations across multi-cloud environments
  • •Built and maintained CI/CD pipelines with GitLab CI, Octopus Deploy, and GitHub Actions, accelerating delivery cycles and improving release reliability
  • •Designed and maintained backup, disaster recovery, and business continuity strategies to ensure high availability and rapid service restoration.
  • •Resolved critical production incidents through root cause analysis, proactive troubleshooting, and automation, significantly improving platform stability.
  • •Integrated observability and cost optimization tools like Prometheus, Grafana, New Relic, and OpenCost, reducing operational overhead and improving performance insights
  • •Enhanced cloud security posture with Vault, Kubescape, Kyverno, and container security tools like Trivy, ensuring robust protection against vulnerabilities
    • Tata Consultancy Service, DevOps Engineer
    12/2020 – 03/2024 | Gurgaon

    A Multinational Information technology services and consulting company

  • •Developed and maintained end-to-end CI/CD pipeline, automating deployment and containerizing microservices using Docker, Kubernetes, and Terraform
  • •Orchestrated cost-efficient containerized applications using Docker and Kubernetes to dynamically scale resources based on workload demands
  • •Strategically leveraged AWS cloud resources, including VPC, EC2 instances, RDS databases, and S3 storage, to host and scale microservices
  • •Implemented security measures, including access control, encryption, and vulnerability scanning, ensuring compliance with industry regulations
  • •Established disaster recovery plans, resource management, and backup procedures
    • Skills
    Tools & Technologies — Proficient
    • •Terraform - Infrastructure As Code
    • •Cloud - GCP, Azure, AWS
    • •CI/CD - GitLab CI, Github Actions , Jenkins , Argo-CD , Octopus
    • •Monitoring- Prometheus, Grafana , Alloy , New relic
    • •Containerization- Kubernetes, Docker, GKE AKS
    • •Security - Trivy, Kyverno, Kubescape
    Professional Interests
    Passion for Technology
  • •Cloud-Native Platforms, Platform Engineering, Kubernetes, Infrastructure as Code (Terraform), Site Reliability Engineering (SRE), AI Infrastructure, MLOps, Agentic AI, and Prompt Engineering.
    • Interests

    Technology, Travel, Continuous Learning, Personal Finance.

    Projects
    KubeSage, AI-Powered Kubernetes Troubleshooting Assistant
    01/2026 – 01/2026

    KubeSage is an advanced AI agent that looks at Kubernetes issues using deterministic analysis first and AI second.

    The project should help DevOps engineers, Platform Engineers, SREs, and Cloud Engineers identify Kubernetes problems by collecting and analyzing pod status, events, logs, metrics, node information, and resource configurations and providing them the most probable solution for the issue.

    Kubernetes Platform Automation with Terraform, An Automated kubernetes platform using Terraform
    11/2025 – 12/2025
  • •Designed Terraform modules to provision production-grade Kubernetes clusters with networking, IAM, and autoscaling
  • •Automated cluster bootstrapping with Helm-based platform services
  • •Implemented modular IaC architecture to enable multi-environment deployments
  • •Reduced cluster provisioning time by 80% through infrastructure automation