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build_with_yesh

Ayesh Lakshan

@build_with_yesh

Kubernetes and Docker DevOps Engineer CI CD and Troubleshooting

Sri Lanka
Inglese, Singalese
Alcune informazioni sono riportate in lingua inglese.
Chi sono
I am a DevOps Engineer with hands-on experience in Docker, Kubernetes, Linux and CI/CD pipelines. I enjoy working with containerized systems, troubleshooting real-world deployment issues, and building scalable application environments. I specialize in Kubernetes debugging, application deployment, and container-based workflows. With practical experience in microservices, Docker, and CI/CD tools like GitHub Actions and Jenkins, I focus on delivering reliable and efficient solutions. Let’s work together to build stable, scalable, and production-ready systems.... Continua a leggere

Competenze

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build_with_yesh
Ayesh Lakshan
offline • 
Tempo di risposta medio: 2 ore

Consulta i miei servizi

Containerizzazione DevOps
I will fix kubernetes pod, deployments, services, ingress and docker issues
A partire da5 USD / progettoMaggiori dettagli

Portfolio

Esperienza lavorativa

Self_Level

Self Level

Freelance • 1 yr 3 mos

Full Stack Developer

May 2025 - Present • 1 yr 2 mos

Developing full-stack web, mobile, and desktop applications using modern technologies including React.js, Node.js, ASP.NET Core, Java, and React Native. Built multiple academic and personal projects involving REST API development, authentication systems, database integration, CI/CD pipelines, Docker, Kubernetes, and cloud deployment. Experienced in building responsive user interfaces, backend services, and DevOps workflows while continuously improving software engineering and problem-solving skills.

DevOps Engineer (Project-Based)

Oct 2025 - Nov 2025 • 1 mo

Designed and implemented a complete CI/CD pipeline to automate build, testing, Docker image creation, and Kubernetes deployment processes for multiple microservices. Integrated Jenkins with GitHub for automated workflows and used Docker Hub for container image management. Implemented SonarQube code quality analysis and deployed containerized services to Kubernetes clusters, reducing manual deployment effort and improving deployment consistency. Technologies used: Jenkins, GitHub Actions, Docker, Docker Hub, Kubernetes, SonarQube, Linux, WSL2.