Arjun B.

DevOps Engineer

Bengaluru, Karnataka, India1 yr 3 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Hands-on experience in Cloud and DevOps engineering.
Proficient in building and automating CI/CD pipelines.
Strong background in backend development with Python and Java.

Stackforce AI infers this person is a Cloud and DevOps Engineer with a focus on AI and backend development.

Contact

Skills

Core Skills

Artificial Intelligence (ai)Cloud & Devops EngineeringBackend DevelopmentDevops EngineeringBlockchain Development

Other Skills

AdbmsAgile Project ManagementAmazon Web Services (AWS)Analytical SkillsAndroid DevelopmentAndroid StudioAutomationAzure DevOps ServicesBashBlockchainBlockchain ArchitectureC#C++CanvaCloud Computing

About

I’m a Software Engineer(Cloud and DevOps) with practical experience in building, automating, and deploying applications. I’ve worked as an SDE Intern at AccioJob and a DevOps Engineer Intern at Jio, where I gained hands-on experience with containerization, CI/CD pipelines, cloud platforms, and backend development using Python and Java.I enjoy working on both the software side and the infrastructure side — writing code, automating workflows, and making systems more reliable. I’m comfortable with tools like Linux, Docker, Terraform, Jenkins, AWS, and Azure, and I’m always looking for ways to improve performance and reduce manual effort.I’m passionate about learning, and contributing to teams that build efficient, scalable, and modern systems.Feel free to reach out to me via LinkedIn messages or email me at arjun.aj2002@gmail.com Let's connect and inspire each other to break through barriers and reach our goals, no matter where we are in our professional lives!

Experience

1 yr 3 mos

Total Experience

7 mos

Average Tenure

Current Experience

Toluai

Software Engineer (AI)

Dec 2025 – Present · 6 mos · New York, United States · Remote

Artificial Intelligence (AI)Python (Programming Language)

Gainhub

Cloud & DevOps Engineer

Aug 2025 – Dec 2025 · 4 mos · India · Remote

Created and configured Azure environments using Terraform.
Set up Azure Virtual Network peering for secure communication between environments.
Designed and managed end-to-end CI/CD pipelines, automating build, test, and deployment workflows(Githubactions) for faster and more reliable application delivery.
Automated repetitive tasks and deployment activities with custom Python scripts, improving efficiency and reducing manual overhead.
Partnered with software Engineering teams to optimize pipelines, troubleshoot issues, and enhance operational performance.
Documented Database and Cloud information for intuitive and faster retrival.
Performed proactive VM upgrades to the latest versions, ensuring compatibility, stability, and smooth platform operation.

Amazon Web Services (AWS)Microsoft AzureLinuxTerraformGrafanaLinux Server+5

Acciojob

Software Development Trainee Intern

Nov 2024 – May 2025 · 6 mos · India · Hybrid

Python Development using FastAPI and SQLite/MySQL, with practical exposure to building RESTful APIs.
Developed projects including a Student management system and a user authentication API, applying backend principles, CRUD operations, and API testing using Swagger.
Strengthened Python development skills through hands-on training focused on practical coding and efficient development practices.
Java development using Spring, Spring Boot, and MySQL, with practical exposure to building RESTful APIs.
Developed projects including a subscription model and a student management system, applying backend
principles and POSTMAN API integration.

Python (Programming Language)JavaSQLiteFastAPIEngineeringBackend Development

Jio platforms limited (jpl)

Devops Engineer(SDE)

Sep 2024 – Nov 2024 · 2 mos · Navi Mumbai, Maharashtra, India · Remote

Worked extensively on Linux servers, managing user permissions, automating tasks with shell scripts, and troubleshooting environment-level issues.
Containerized applications using Docker, wrote custom Dockerfiles, and optimized images for faster deployment in internal staging environments.
Collaborated with development and QA teams to streamline CI/CD pipelines, ensuring smoother deployments and faster
feedback cycles.

Amazon Web Services (AWS)LinuxDOCKERAndroid StudioCore JavaDevOps Engineering