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Devops Engineer with 2+ years in AWS Cloud & CI/CD Pipelines
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DevSecOps engineer experienced in designing and operating AWS cloud infrastructure and CI/CD pipelines. Skilled in building scalable deployment frameworks, maintaining secure cloud environments, and supporting MLOps workflows. Demonstrated ability to improve deployment efficiency, streamline operational processes, and deliver production-ready systems under tight timelines. Known for collaborating with cross-functional engineering and data teams to build reliable and scalable cloud platforms.
St. Michael's School, Siliguri
Secondary Education (ICSE)
N/A – May 31, 2017
Jain Deemed to be University, Bangalore
Bachelor of Technology · Computer Science
N/A – June 30, 2023
M.B International School, Kota
Higher Secondary Education (CBSE)
N/A – May 31, 2019
Pentair
Software Engineer DevSecOps
January 1, 2025 – Present
Noida, Uttar Pradesh, India
Pentair
Software Engineer Trainee DevOps
July 1, 2023 – December 1, 2024
Noida, Uttar Pradesh, India
AI Developer Platform Adoption (Amazon Q Developer / Kiro)
June 16, 2026 – Present
Established AI development capabilities across the organization by setting up infrastructure for Amazon Q Developer (Kiro) within AWS environments. Defined internal governance guidelines and best practices for AI-assisted development ensuring secure and responsible adoption. Conducted multiple technical enablement sessions for engineering teams and stakeholders to drive organization-wide adoption. Customized platform configurations to align with internal development workflows and security requirements.
AWS Account Infrastructure Migration
June 16, 2026 – Present
Directed migration of cloud resources from existing AWS accounts to newly structured business unit accounts following organizational restructuring. Coordinated migration planning, cross-team meetings, and defined timelines to ensure smooth transition with minimal service disruption. Supervised workload assessment, migration sequencing, and infrastructure validation across multiple engineering teams.
Manitowoc Ice Cloud Platform Deployment
June 16, 2026 – Present
Built and deployed cloud infrastructure for the Manitowoc Ice platform using AWS Elastic Beanstalk and EC2. Delivered a production-ready environment within strict stakeholder timelines enabling a successful product demonstration. Infrastructure deployment supported early product validation and contributed to pre-booking of more than 150 devices. Oversaw deployment configuration and application hosting for a .NET-based platform running on AWS infrastructure.
Secure Sales Data Integration Pipeline
June 16, 2026 – Present
Built a secure data integration pipeline using Denodo to transfer sales data from the company VPN into AWS enabling consistent analytics reporting. Decreased data retrieval time from approximately three hours to five minutes through pipeline automation and optimized transfer processes. Implemented automated execution, failure handling mechanisms, and infrastructure monitoring to ensure reliable and secure data synchronization.
AWS DevOps Automation Framework
June 16, 2026 – Present
Computerized AWS CI/CD pipelines using CodeCommit, CodeBuild, and CodePipeline decreasing application deployment time by 85 percent and lowering deployment failures by 40 percent. Integrated secure credential handling using Secrets Manager and Systems Manager improving operational security. Configured artifact storage and release management using Amazon S3 to support reliable application versioning and deployments.
SAFe 5 Practitioner
Unknown
June 1, 2026 – Present
ITIL 4 Foundation
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, ranging from AI platform adoption to data integration pipelines and cloud migrations, indicates adaptability and a broad skill set. Their experience in a DevSecOps role aligns well with modern engineering practices that emphasize security throughout the development lifecycle. The candidate's involvement in organizing conferences and delivering seminars suggests a proactive and community-oriented individual, which generally contributes positively to cultural fit. The focus on improving efficiency and reliability in their projects also aligns with a results-driven culture.
Soft Skills & Operational Fit
The candidate demonstrates strong collaboration skills, having worked with development, data science, and operations teams. They have experience leading technical initiatives and coordinating with stakeholders, indicating good project management and communication abilities. Their involvement in technical enablement sessions and seminars suggests a proactive approach to knowledge sharing and driving adoption. The candidate's ability to streamline operational workflows and reduce deployment resource dependency points to a strong operational mindset and problem-solving capabilities.