
Devops Engineer with 4+ years in Cloud Infrastructure & Automation
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Assessing your cultural and operational fit
Overall 4+ years of IT experience managing Linux systems and cloud infrastructure. Skilled in automating tasks with shell scripting and tools like Terraform. Proficient in deploying applications using Docker, Kubernetes, and AWS services such as EC2, S3, and VPC. Experienced in creating CI/CD pipelines with Jenkins, ensuring security best practices, and managing version control with Git.
Kavikulguru institute of technology and Science
Bachelors of engineering
July 1, 2017 – August 1, 2021
Samarth Junior collage ramtek
HSC (12th)
July 1, 2015 – February 1, 2017
Rashtriya Adarsh Vidyalaya ramtek
SSC (10th)
June 1, 2014 – March 1, 2015
DXC Technology India Private Limited
Analyst-2 software engineering (DevOps)
February 1, 2022 – Present
India
Robotics process automation support-RPA
May 31, 2024 – February 16, 2026
Handled L2 support cases, ensuring smooth CI/CD operations by resolving issues across image lifecycle, registry synchronization, and deployment pipelines. • Troubleshot and validated container images for tagging, compliance, and security (SBOM, CVE, license checks). • Partnered with DevOps, QA, and Release Engineering teams to address complex technical challenges and streamline delivery. • Built and maintained internal playbooks, automation scripts, and knowledge bases to reduce recurring issues. • Monitored and enforced consistency across container registries (ECR, Harbor, Docker Hub), improving reliability of deployments. • Engaged with developer communities via GitHub, Slack, and forums, providing timely, high-quality technical support. • Coordinated global support coverage across multiple time zones to maintain service availability. • Leveraged Linux and Docker CLI expertise (inspect, tag, push, pull, build) to optimize container workflows.
AWS Cloud Practitioner CL-02
Udemy
January 1, 2024 – Present
Oracle Cloud Infrastructure 2022 Certified Foundations Associate
Unknown
February 1, 2023 – Present
Cultural Fit Analysis
The candidate's experience with diverse technologies (AWS, Docker, Kubernetes, Terraform, Jenkins, SonarQube) and involvement in a global support environment indicates adaptability and a broad technical interest. The focus on automation, security, and collaboration aligns well with modern DevOps and cloud-native cultures. The project involving engagement with developer communities further suggests a collaborative and knowledge-sharing mindset.
Soft Skills & Operational Fit
The candidate's experience in L2 support, coordinating global coverage, and building internal playbooks suggests good operational fit and problem-solving skills. Collaboration with DevOps, QA, and Release Engineering teams indicates teamwork and communication abilities. The project description highlights proactive issue resolution and documentation, which are valuable soft skills for a support role.