Devops Engineer with 5+ years in Cloud Infrastructure & CI/CD automation
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DevOps Engineer with 4+ years of experience in cloud infrastructure automation, CI/CD implementation and managing scalable production systems across AWS and Azure. Reduced cloud infrastructure costs by 42% through Infrastructure as Code modernization and cloud resource optimization initiatives.
Christ College, Cuttack
B.Sc. · Computer Science
September 1, 2017 – August 1, 2020
Infosys
Systems Engineer | DevOps Engineer
May 1, 2024 – Present
Bhubaneshwar, Odisha, India
Infosys
Senior Systems Associate | DevOps Engineer
April 1, 2023 – April 1, 2024
Noida, Uttar Pradesh, India
Infosys
Systems Associate | DevOps Engineer
May 1, 2021 – March 1, 2023
Bengaluru, Karnataka, India
GitOps with GitLab
August 1, 2020 – August 1, 2020
Implemented GitOps-driven application delivery for Kubernetes workloads on AWS EKS using declarative and version-controlled configurations. Provisioned cloud resources and standardized release processes with AI-assisted CI/CD pipeline generation and configuration management. Stack: GitLab CI/CD, Terraform, Helm, Docker, AWS EKS, SonarCloud, Slack.
Kubernetes Deployment (AWS KOps)
August 1, 2020 – August 1, 2020
Deployed a multi-tier Java Spring MVC application on Kubernetes using KOps-managed clusters and containerized architecture. Configured ingress routing, service discovery, and workload orchestration to support scalable application hosting on AWS. Stack: Kubernetes, Docker, KOps, GoDaddy, EC2, Route 53, IAM, S3.
AWS DevOps Engineer Professional
Infosys Certified
June 1, 2026 – Present
AWS Cloud Practitioner
Infosys Certified
June 1, 2026 – Present
Generative AI Professional
Infosys Certified
June 1, 2026 – Present
Associate in IaC using Terraform
Infosys Certified
June 1, 2026 – Present
Associate in Ansible Automation
Infosys Certified
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's experience across multiple roles within a single large organization (Infosys) suggests stability and growth within a corporate structure. Their involvement in diverse projects, including personal ones, indicates initiative and a passion for DevOps practices beyond their primary role. The breadth of technologies and tools used (AWS, Azure, Kubernetes, Docker, Terraform, Ansible, Python, various CI/CD tools) shows adaptability and a willingness to learn and apply different solutions, which aligns well with dynamic team environments. The focus on cost optimization and efficiency also points to a business-aware mindset.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving skills through various optimization and recovery initiatives. Their experience in automating tasks and improving CI/CD pipelines indicates a proactive approach to operational efficiency. The use of AI-assisted tools like GitHub Copilot and Claude suggests an openness to leveraging new technologies for productivity gains. The descriptions highlight a focus on quantifiable results (e.g., 37% reduction in deployment errors, 42% cost reduction), indicating a results-oriented mindset.