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Cloud DevOps Engineer with 8+ years in AWS, Kubernetes & AI-driven Automation
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Senior DevOps and Cloud Platform Engineer with 9 years of experience designing, architecting, and operating large-scale, highly available cloud-native systems across enterprise environments. Expertise in Amazon Web Services (AWS), Kubernetes, Infrastructure as Code (IaC), continuous integration and continuous delivery (CI/CD), Linux, observability, DevSecOps, platform engineering, and AI-driven automation. Delivered 40%+ faster release frequency, 35% lower mean time to recovery (MTTR), 99.99% uptime, and 30% cloud cost optimization through reliability-focused platform modernization.
Jeppiar Institute of Technology
Bachelor of Engineering · Computer Science
August 1, 2013 – June 30, 2016
Walmart Global Tech
Senior Systems Engineer III / Senior DevOps Engineer
November 1, 2020 – Present
Chennai, Tamil Nadu, India
Cognizant Technology Solutions
System Engineer (DevOps / Linux / Cloud Support)
August 1, 2017 – November 1, 2020
India
End-to-End CI/CD Pipelines
May 29, 2026 – Present
Built end-to-end CI/CD pipelines with automated testing, blue-green rollouts, canary releases, and controlled deployments.
Release Governance with Deployment Safety Checks
May 29, 2026 – Present
Improved release governance with deployment safety checks, phased rollout controls, and operational readiness gates.
Kubernetes-based Microservices Architecture
May 29, 2026 – Present
Designed Kubernetes-based microservices architecture for high-traffic applications and resilient production scaling.
Observability and Alerting Systems
May 29, 2026 – Present
Implemented observability and alerting systems for enterprise production workloads and faster incident response.
AI-powered DevOps Automation Use Cases
May 29, 2026 – Present
Developed AI-powered DevOps automation use cases for diagnostics, release documentation, and infrastructure knowledge workflows.
Cultural Fit Analysis
The candidate's profile demonstrates a strong cultural fit for a senior Cloud DevOps Engineer role. Their experience spans large enterprise environments (Walmart Global Tech, Cognizant), indicating an ability to navigate complex organizational structures and contribute to high-impact initiatives. The breadth of skills, from traditional DevOps (CI/CD, IaC, Linux) to modern cloud-native (Kubernetes, AWS EKS) and cutting-edge AI-driven automation, shows a proactive and adaptive mindset. The focus on quantifiable improvements (cost reduction, uptime, MTTR, release frequency) aligns with a results-oriented culture. The diversity of projects, including microservices architecture, CI/CD pipelines, observability, and AI automation, suggests a versatile and continuous learning approach.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving and innovation skills through designing AI-driven solutions and optimizing complex systems. Leadership and architectural capabilities are evident in their role as a Senior Systems Engineer, where they architected enterprise-level solutions. Collaboration is mentioned in improving handoff quality. Operationally, the candidate exhibits a robust fit, with a strong focus on SRE principles, high availability, disaster recovery, and a proven ability to reduce MTTR and maintain high uptime. Their experience with L2/L3 support and standardizing runbooks indicates strong incident management and process improvement capabilities. Furthermore, the candidate shows a commitment to documentation and standardization for operational continuity.