Riya Jain
@riyajain2
Results-driven DevOps and Cloud Engineer optimizing CI/CD, containerization, and cloud infrastructure.
IndiaWhat I'm looking for
I am a DevOps & Cloud Engineer with 2+ years of hands-on experience automating software delivery pipelines, containerization, and cloud infrastructure management. I focus on improving efficiency, scalability, and reliability using CI/CD, Kubernetes, Docker, and AWS.
At Persistent Systems I designed and implemented CI/CD pipelines with Jenkins & OpenShift, reducing delivery timelines by 30%, and deployed scalable applications with Docker & Kubernetes, improving resource utilization by 25%. I also conducted CVE assessments to strengthen security and collaborated with development and QA teams to enhance product scalability.
I bring scripting skills in Python and Bash, experience with GitLab version control, and certifications in AWS and Azure. I am motivated to deliver secure, automated, and optimized solutions that drive business growth and operational excellence.
Experience
Work history, roles, and key accomplishments
Software Engineer
Persistent Systems
Jun 2022 - Apr 2024 (1 year 10 months)
Designed and implemented CI/CD pipelines and OpenShift workflows that reduced delivery timelines by 30%, conducted CVE assessments to improve security, and deployed containerized applications on Kubernetes and Docker improving resource utilization by 25%.
Project Manager Intern
Caarya
Nov 2021 - Feb 2022 (3 months)
Assisted in planning and executing project tasks, communicated updates to stakeholders, and supported on-time delivery of project milestones.
Software Engineer Intern
Vatan Textiles
Jan 2021 - Jun 2021 (5 months)
Developed an inventory management software to track stock, orders, and reports, applying software engineering principles to improve operational visibility.
Education
Degrees, certifications, and relevant coursework
Jawaharlal Nehru Engineering College, Aurangabad
Bachelor of Technology, Computer Science
2018 - 2022
Grade: 8.6 CGPA
Completed a Bachelor of Technology in Computer Science with a CGPA of 8.6, covering core software engineering and systems topics.
Tech stack
Software and tools used professionally
Availability
Location
IndiaAuthorized to work in
Job categories
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