Devops Engineer with 7+ years in Cloud-Native Infrastructure & CI/CD Automation
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Results-driven DevOps & Platform Engineer with 6+ years of experience designing scalable cloud-native infrastructure across AWS and Azure environments. Expertise in Kubernetes, Terraform, CI/CD automation, Infrastructure as Code (IaC), and cloud security. Proven success in optimizing deployment pipelines, enabling MLOps platforms, reducing cloud costs, and implementing enterprise-grade observability solutions. Skilled in Kubernetes orchestration, GitHub Actions, Jenkins, Databricks, Ataccama, and multi-cloud platform engineering.
Uttar Pradesh Technical University
BACHELOR OF TECHNOLOGY
August 1, 2015 – June 30, 2019
I.S.C Board
INTERMEDIATE
N/A – May 31, 2015
ACCENTURE
Platform Engineer
October 1, 2024 – Present
Gurgaon, Haryana, India
IBM
DevOps Engineer
March 1, 2023 – October 1, 2024
Mumbai, Maharashtra, India
ERICSSON
Cloud Engineer
January 1, 2019 – January 1, 2023
Noida, Uttar Pradesh, India
AWS Certified Solution Architect Associate
Amazon Web Services
June 1, 2026 – Present
AWS Certified Cloud Practitioner
Amazon Web Services
June 1, 2026 – Present
Microsoft Certified Azure Fundamentals
Microsoft
June 1, 2026 – Present
Ansible for Beginners
Udemy
June 1, 2026 – Present
Terraform for Beginners
Udemy
June 1, 2026 – Present
Cultural Fit Analysis
The candidate has worked at large, reputable companies (Accenture, IBM, Ericsson) which suggests experience in structured environments and potentially diverse teams. The breadth of tools and platforms used (AWS, Azure, Kubernetes, Terraform, Jenkins, GitHub Actions, Databricks, Keycloak) indicates adaptability and a willingness to learn new technologies. The focus on optimizing deployments, reducing costs, and improving observability aligns with a results-oriented culture.
Soft Skills & Operational Fit
The candidate's resume highlights experience in agile development, reducing manual workload through automation, and improving MTTR, indicating a strong operational fit and problem-solving mindset. Participation in on-call rotations suggests reliability and commitment to system availability. The descriptions imply a collaborative approach to platform engineering and support.