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Devops Engineer with 2+ years in Cloud & DevOps, CI/CD, and Kubernetes.
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Assessing your cultural and operational fit
Results-driven Cloud & DevOps Engineer with 3 years of experience architecting hybrid/multi-cloud infrastructures across AWS, Azure, GCP, and OpenStack. Delivered 50% faster deployment cycles and 25% cloud cost reduction by engineering scalable CI/CD pipelines, GitOps workflows, and open-source automation for production environments running 500+ microservices. Deep expertise in Kubernetes orchestration, Terraform laC, and full-stack observability (Prometheus, Grafana, ELK). Passionate about building self-healing, secure, and cost-efficient platforms at enterprise scale.
G.H. Raisoni College of Engineering, Nagpur
Bachelor of Engineering · Computer Engineering
August 1, 2019 – June 30, 2023
Jio Platforms Ltd.
Associate Cloud DevOps Engineer
November 1, 2023 – Present
Navi Mumbai, Maharashtra, India
APS Microtech Pvt. Ltd.
Machine Learning Research Intern
February 1, 2022 – March 1, 2022
Nagpur, Maharashtra, India
LetsGrowMore
Web Development Intern
January 1, 2022 – June 1, 2022
India
Enterprise-Scale CI/CD Pipeline Automation
June 14, 2026 – Present
Designed Azure DevOps + Jenkins multi-stage pipelines (build → SonarQube → JFrog → blue/green Helm deploy) for 500+ services. Integrated Robot Framework regression suite as CI gate, reducing post-release defects by 35%. Enabled parallel execution with dynamic agent pools, cutting peak queue time by 45%.
Cloud Cost Optimisation via Open-Source IaC
June 14, 2026 – Present
Replaced Terraform Enterprise with Airflow + Cloud CLI DAGs across OpenStack and GCP achieving 25% monthly cloud spend reduction. Deployed Ansible drift-detection playbooks ensuring compliance across 100+ VMs without manual audits.
Kubernetes Platform Engineering & GitOps
June 14, 2026 – Present
Bootstrapped production K8s clusters (self-managed + EKS) with multi-namespace RBAC and Istio mTLS encryption. Implemented Argo CD GitOps with automated sync, health checks, and rollback reducing failed deployments by 60% with full audit trail.
View ProjectFull-Stack Observability Platform
June 14, 2026 – Present
Deployed Prometheus + Grafana with 50+ custom dashboards for infra, application, and SLO/SLA tracking. Built ELK + Fluent Bit log pipeline from K8s pods and VMs enabling sub-minute anomaly detection and root-cause analysis.
Oracle Cloud Infrastructure 2025 - Certified DevOps Professional
Oracle
January 1, 2025 – Present
Oracle Cloud Infrastructure 2025 Certified Architect Associate
Oracle
January 1, 2025 – Present
Jio Certified Claude Code Certification (AI-Assisted Development)
Jio Platforms Academy
January 1, 2025 – Present
Jio Certified Cursor Developer Certification
Jio Platforms Academy
January 1, 2025 – Present
Docker Essentials
IBM
January 1, 2024 – Present
CI/CD with Jenkins
IBM
January 1, 2024 – Present
Python for Data Science & AI
IBM
January 1, 2024 – Present
Cultural Fit Analysis
The candidate's project diversity, ranging from enterprise-scale CI/CD to cloud cost optimization and Kubernetes platform engineering, indicates a broad interest and capability in core DevOps areas. Their experience at Jio Platforms Ltd. aligns well with a senior DevOps role, showcasing significant impact in a large-scale environment. The certifications, including Oracle Cloud Infrastructure DevOps Professional and Architect Associate, further demonstrate a commitment to professional development and a strong foundational understanding of cloud principles. The blend of infrastructure, CI/CD, observability, and security skills suggests a well-rounded profile suitable for a collaborative and technically demanding environment.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving skills through their project descriptions, particularly in optimizing cloud costs and deployment cycles. Their experience in architecting multi-cloud solutions and implementing GitOps suggests a proactive and systematic approach to operations. The focus on reducing manual effort and improving MTTD indicates a strong operational mindset and a drive for efficiency. The breadth of technologies used implies adaptability and a continuous learning attitude.