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Lahiru P. - Fullstack Developer, Cloud Computing, Linux System Administration

Being part of Softaims has allowed me to see the full spectrum of what technology can achieve when guided by empathy, discipline, and creativity. Each assignment, regardless of size, represents an opportunity to bring clarity to complexity and to turn ambitious ideas into tangible outcomes. I’ve come to realize that successful development isn’t just about writing code—it’s about listening carefully, understanding deeply, and designing thoughtfully. Every client brings unique challenges, and I make it a priority to align my work with their goals, ensuring that the end result is both effective and lasting. Softaims fosters an environment where collaboration is not optional—it’s essential. The collective expertise within the team pushes me to think beyond conventional boundaries, to question, refine, and innovate. I believe that this process of shared learning and experimentation is what makes our solutions resilient and impactful. My ultimate goal is to build technology that feels effortless to use yet powerful in function. I approach every task with the mindset that small details can make a big difference. Through continuous refinement and dedication, I aim to contribute to the kind of work that not only serves today’s needs but anticipates tomorrow’s possibilities.

Main technologies

  • Fullstack Developer

    4 years

  • CI/CD

    1 Year

  • Google Cloud

    3 Years

  • Docker

    2 Years

Additional skills

  • CI/CD
  • Google Cloud
  • Docker
  • Terraform
  • Git
  • Ansible
  • Microsoft Azure
  • Amazon Web Services
  • Kubernetes
  • Technical Support
  • Administrative Support
  • Automation
  • Windows Server
  • DevOps
  • Cloud Computing
  • Linux System Administration

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Experience Highlights

Azure automated resource deployment through Azure DevOps and Terraform

This pipeline has been created to automate resource deployment in any cloud provider. In this project I showed how to deploy resources in azure via azure pipeline and terraform.

AWS containerized web app hosting

A web application has been deployed on AWS through Docker container

Automated Kubernetes cluster deployment with PowerShell

Powershell script to automate Kubernetes cluster deployment

GitLab Kubernetes cluster

I have made a GitLab self-hosted environment in high available Kubernetes cluster.

Policy Based Containers Deployment Across Multi-Cloud

Over the last decade, cloud computing has helped in variety of ways to humanity. Mainly in the ways of, achieving Disaster Recovery (DR) and in protecting the end users' data and Anywhere, Any device, Anytime access to the users' data. This research further helps people and organization to overcome common problems related to clouds such as, vendor-lock in and legal regulation. In today's world, more and more organizations are adopting the cloud services mainly because of the reliability and affordability provided by them. However, there are several drawbacks faced by the cloud users and cloud service providers. Apart from the security perspective, the cloud users are facing challenges in control and visibility, lack of standard service interfaces, difficulty in deploying applications across multiple clouds and vendor lock-in. Also, cloud service providers are facing challenges in degradation of the quality of service provided because of the distance between cloud data center and the end user and unexpected interruption of services etc. The above problems can be reduced to a greater extent or mitigated by adopting Multi Cross Cloud Infrastructure. This benefits the cloud users to receive the best quality services to increase their productivity. Hence, the main aim of this research is to build a common platform to manage the cross-cloud environment particularly Microsoft AZURE cloud and Amazon Web Services (AWS) with multiple features such as policies based container migration among the clouds and finding the best virtual machines (VM) across the clouds to deploy new containers. Cross-cloud management platform can be implemented within an organization or Enterprise and is used by the 3rd level support team such as Infrastructure team to provide multiple services (E.g. - Delivering application containers, Migration of containers on request) to end users based on some service level agreements (SLA) with more control and visibility.

Education

  • University of Moratuwa

    Master of Business Administration (MBA) in Information Technology

    2021-01-01-2022-01-01

  • SLIIT

    Bachelor of Science in Information Technology in Computer Systems & Network Engineering

    2014-01-01-2018-01-01

Languages

  • German
  • English

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