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Devops Engineer with 3+ years in CI/CD, Kubernetes & Cloud
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Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
DevOps Engineer with 3 years of experience building automated CI/CD pipelines, Kubernetes-based deployments, AWS cloud environments, and enterprise-grade monitoring solutions. Skilled in designing scalable observability stacks using Elasticsearch, Kibana, and OpenTelemetry. Strong expertise in Jenkins pipeline automation, Docker containerization, Terraform IaC, JFrog artifact management, and Python-based tooling that improves deployment reliability and efficiency.
ANITS, Visakhapatnam
Bachelor of Technology (B.Tech) · Computer Science and Engineering
August 1, 2018 – June 30, 2022
Wipro Limited
DevOps Engineer / Automation Engineer
April 1, 2023 – Present
Hyderābād, Telangana, India
Automated Deployment Pipeline (Python + Jenkins + Docker)
June 16, 2026 – Present
Built a fully automated CI/CD pipeline integrating Jenkins, Docker, Git, and JFrog Artifactory to eliminate manual interventions and accelerate deployments. Implemented automated unit tests, image builds, artifact publishing, and deployments.
End-to-End CI/CD Automation for Jenkins & Spinnaker
June 16, 2026 – Present
Designed a unified CI/CD observability flow where build metadata and pipeline logs were streamed into Elasticsearch. Enabled product → application → microservice traceability dashboards in Kibana, reducing validation effort by 40%.
Kubernetes-Based Kibana Dashboard-as-Code System
June 16, 2026 – Present
Developed a Python-based automation framework for generating and maintaining Kibana dashboards as code. Preserved visualization IDs and automated Elasticsearch index/template updates across clusters.
Build Failure Analyzer (Python + Elasticsearch)
June 16, 2026 – Present
Created a log-intelligent Build Failure Analyzer that detects recurring error signatures using Elasticsearch queries. Reduced debugging and RCA time by 50%.
Elasticsearch Cluster Reliability Enhancement
June 16, 2026 – Present
Resolved a production outage by redesigning Elasticsearch pod storage architecture. Migrated default /tmp to isolated emptyDir, preventing node disk exhaustion and improving stability.
AWS Cloud Practitioner
Unknown
June 1, 2026 – Present
Microsoft Azure Fundamentals
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects and experience align well with a DevOps culture focused on automation, reliability, and observability. Their work on improving deployment frequency, reducing downtime, and enhancing traceability shows a proactive approach to improving development and operations workflows. The breadth of skills across CI/CD, containers, IaC, monitoring, and cloud indicates adaptability and a continuous learning mindset, which are crucial for cultural fit in a dynamic DevOps environment.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving skills through projects like the Build Failure Analyzer and Elasticsearch Cluster Reliability Enhancement. Their work on reducing deployment time, MTTR, and debugging time indicates a results-oriented approach. The ability to author technical documentation suggests good communication for operational handover. The 'League Of Superheroes' award implies recognition for high performance and potentially strong work ethic.