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Cloud DevOps Engineer with 4+ years in Cloud Platforms & Automation
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Cloud & DevOps Engineer with 4+ years shipping production cloud platforms at Capgemini Engineering. Slashed Cisco NCS1K production boot time by 89% (250 → 27 minutes) by optimising microservices, eliminating redundant processes, and parallelising provisioning workflows. Delivered end-to-end serverless platforms (Lambda, API Gateway, DynamoDB, CloudFront) with Terraform IaC and GitHub Actions CI/CD, cutting deployment cycles from ~45 min to ~8 min. AWS Cloud Practitioner Essentials (AWS Training & Certification, 03/2026). Twice recognised for automation excellence: Rising Champion 2023 and Automation Champion 2025.
Dr. Shakuntala Mishra National Rehabilitation University
Bachelor of Technology (B.Tech) · Computer Science
N/A – June 30, 2020
Capgemini Engineering
Cloud & DevOps Engineer
November 1, 2021 – March 1, 2026
Gurgaon, Haryana, India
Judicial Solutions
June 29, 2026 – Present
Built a complete serverless backend (Lambda, API Gateway, DynamoDB, S3, CloudFront, Cognito) serving real production traffic with auto-scaling and zero scheduled downtime since launch. Automated full infrastructure provisioning via Terraform modules, enabling one-command stack deployment and reducing manual provisioning effort to near-zero. Implemented multi-environment CI/CD (GitHub Actions) with automated testing gates and staged rollouts, achieving a sub-10-minute commit-to-production deploy cycle. Executed AWS RDS database migration: environment setup, security hardening (IAM, security groups, parameter groups), monitoring integration, and post-migration validation with zero data loss.
View ProjectContainer & Orchestration Lab
June 29, 2026 – Present
Reduced Go chatbot image from 963 MB to 10.49 MB (98.9% reduction) using multi-stage builds and a distroless/nonroot base - statically linked binary, stripped debug symbols, zero shell or package manager in the final image. Containerised a MERN stack app with Docker Compose - service isolation, persistent volumes, and env-specific config for one-command dev/prod parity. Dockerised Django and Flask applications with optimised layer caching and non-root user security hardening; applied Go multi-stage build pattern to produce a statically linked binary in a scratch/distroless container. Configured a Jenkins CI pipeline triggered on every code push automating image build, tag, and push to registry; demonstrated end-to-end pipeline-as-code for multiple application stacks. Wrote Ansible playbooks to automate Nginx installation and service management on AWS EC2 instances - using dnf module, systemd state management, and a static inventory file to configure RHEL hosts without manual SSH intervention. Deployed a 3-service fake shop on Minikube to deeply understand Kubernetes networking - created Deployments, ReplicaSets, ClusterIP Services, and a single Nginx Ingress controller routing external traffic to each service by path, eliminating the need for multiple LoadBalancers.
View ProjectJob Seeker 2.0 Intelligent Telegram Bot
June 29, 2026 – Present
Built a fully automated Telegram bot for job discovery, application tracking, and follow-up management - generating real-time Naukri job links from user-defined filters with de-duplication logic and scheduled alerts. Deployed as a cost-efficient, cloud-agnostic Docker container with a full CI/CD pipeline, enabling zero-downtime updates and portability across cloud providers.
DevOps Automation - Telecom Platform
June 29, 2026 – Present
Built and maintained GitHub Actions and Jenkins workflows for build, test, and deployment of telecom platform components, reducing manual operational overhead by ~50%. Wrote Python automation scripts for environment validation, operational health checks, and incident triage - cutting incident response prep time from 30 min to under 5 min. Provisioned Terraform-managed AWS infrastructure with integrated centralised logging and monitoring for a multi-environment telecom workload supporting 24/7 uptime requirements.
AWS Cloud Practitioner Essentials
AWS Training & Certification
March 1, 2026 – Present
Terraform for the Absolute Beginners with Labs
Udemy
January 1, 2026 – Present
Kubernetes for the Absolute Beginners - Hands-on
Udemy
November 1, 2025 – Present
Docker for the Absolute Beginner - Hands On - DevOps
Udemy
September 1, 2025 – Present
Ultimate AWS Certified Solutions Architect Associate Prep Course
Udemy
September 1, 2025 – Present
The Git & GitHub Bootcamp
Udemy
July 1, 2025 – Present
Linux Mastery: Master the Linux Command Line
Udemy
June 1, 2025 – Present
Python Data Structures
University of Michigan – Coursera
January 1, 2022 – Present
Programming for Everybody
University of Michigan – Coursera
January 1, 2022 – Present
Introduction to SQL
University of Michigan – Coursera
January 1, 2022 – Present
Introduction to Pointers & Memory Management in C/C++
University of Michigan – Coursera
January 1, 2022 – Present
Cultural Fit Analysis
The candidate's diverse project portfolio, including both professional and personal initiatives, showcases a strong passion for DevOps and continuous learning. Their experience in a professional services environment (Capgemini Engineering) indicates adaptability and client-focused delivery. The breadth of skills and technologies aligns well with a dynamic, innovation-driven culture, making them a strong cultural fit for a Cloud DevOps Engineer role.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving abilities, a proactive approach to automation, and a clear focus on efficiency and reliability. Their experience collaborating with cross-functional teams and evaluating infrastructure trade-offs indicates good teamwork and strategic thinking. The awards received highlight a commitment to excellence and leadership potential.