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Devops Engineer with 4+ years in Multi-Cloud & CI/CD
DevOps Engineer with 4.8+ years of hands-on production experience engineering, scaling, and operating multi-cloud infrastructure across telecom, fintech, and healthcare at enterprise scale. Deep expertise in Kubernetes cluster management (AKS/EKS), Terraform Iac, and end-to-end CI/CD pipeline design (Jenkins, ArgoCD, GitHub Actions) with integrated DevSecOps controls including SonarQube static analysis, Trivy image and filesystem scanning, and automated quality gates. Skilled in enterprise observability (Prometheus, Grafana, Splunk, Dynatrace) and GitOps-based continuous delivery, driving faster incident detection and accelerated recovery while sustaining high availability across production workloads. Backed by strong Python scripting and automation skills with a consistent focus on operational toil reduction – eliminating manual workflows, reclaiming engineering capacity, and accelerating release cycles. Experienced with AWS (EC2, EKS, S3, Lambda, CloudWatch) with hands-on cloud cost efficiency practices including infrastructure right-sizing, FinOps tagging, and self-service environment controls. Consistently delivers measurable impact: led recovery of 1 million customer records, drove a 60% billing performance gain, pushed payment success rates to 99.5%, and reclaimed ~8 hours of weekly operational effort through automation. Trusted across high-stakes, cross-functional Agile teams for rapid incident response, platform engineering, site reliability, and infrastructure automation.
Yeshwantrao Chavan College of Engineering, Nagpur University
Bachelor of Engineering
August 1, 2016 – June 30, 2020
Infosys Limited
Technology Analyst
October 1, 2024 – Present
India
Infosys Limited
Senior System Engineer
June 1, 2022 – September 1, 2024
India
Infosys Limited
System Engineer
June 1, 2021 – May 1, 2022
India
Microsoft Certified DevOps Engineer Expert (AZ-400)
Microsoft
June 1, 2026 – Present
Microsoft Certified Azure AI Engineer Associate (AI-102)
Microsoft
June 1, 2026 – Present
Microsoft Certified Azure Developer Associate (AZ-204)
Microsoft
June 1, 2026 – Present
Professional Cloud DevOps Engineer
June 1, 2026 – Present
Machine Learning
Stanford University
June 1, 2026 – Present
Python
HackerRank
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's experience across telecom, fintech, and healthcare verticals demonstrates adaptability and a broad understanding of different industry requirements, indicating a strong cultural fit for diverse environments. Their consistent focus on driving measurable impact, such as reducing release cycle times, improving uptime, and accelerating incident resolution, aligns with a results-oriented culture. The multiple certifications and continuous upskilling (e.g., AI Engineer Associate) suggest a proactive learning mindset, which is highly valuable for cultural fit in a rapidly evolving technical landscape. The candidate's involvement in leading migrations and architecting solutions also points to a leadership-oriented and ownership-driven approach.
Soft Skills & Operational Fit
The candidate demonstrates strong operational fit through their consistent focus on reliability, incident response, and problem-solving. Their experience with ITIL and ServiceNow suggests a structured approach to operations. The emphasis on reducing toil and improving team throughput indicates a proactive and efficiency-driven mindset. The candidate's ability to work across high-stakes, cross-functional Agile teams points to good collaboration and communication skills, crucial for a senior DevOps role.