Hi, I'm Navinda Chandrasiri π
I build and operate production ready software from full stack applications and AI powered features to AWS infrastructure, CI/CD automation, monitoring, and disaster recovery.
I'm a Senior Software Engineer with 5+ years of experience building, deploying, and supporting SaaS, ERP, and healthcare applications for international clients. My work spans application engineering and cloud operations, with a growing focus on DevOps, cloud engineering, and site reliability.
- βοΈ Design and operate cloud infrastructure on AWS, including networking, compute, databases, storage, security, and monitoring.
- π Automate builds and releases with GitHub Actions, GitLab CI/CD, Docker, and Infrastructure as Code using Terraform.
- π οΈ Build full stack applications and APIs with TypeScript, JavaScript, React, Next.js, Node.js, and Python.
- π Work on observability, incident troubleshooting, root-cause analysis, high availability, and disaster recovery.
- π€ Explore practical AI capabilities, including LLMs, Retrieval-Augmented Generation (RAG), and Model Context Protocol (MCP).
- π Based in Sri Lanka and open to remote opportunities.
- π« Reach me at: navindalankesh@outlook.com
AWS Services: EC2, ECS, ECR, Lambda, API Gateway, RDS, DynamoDB, S3, VPC, ALB, IAM, Route 53, CloudFront, WAF, CloudWatch, EventBridge, SQS, SNS, SES, KMS, Secrets Manager, Cognito, and AppSync.
- π₯ Microsoft Imagine Cup 2023 - 3rd place in the Health category; Top 12 in the SEA-NZ region.
- π₯ #DiscoverIFS C# Coding Challenge - Runner-up, IFS Sri Lanka.
- π B.Sc. (Hons) in Information Technology, specializing in Software Engineering - SLIIT.
- βοΈ AWS Cloud Technical Essentials.
- π€ AWS Machine Learning Foundations.
- π§ Linux Essentials Certification (LPI).
- π§© Introduction to Model Context Protocol - Anthropic.
- π¬ Postman Student Expert.
- βοΈ Building and managing AWS cloud infrastructure for production applications
- ποΈ Automating infrastructure provisioning with Terraform and Infrastructure as Code (IaC)
- π Improving CI/CD pipelines with GitHub Actions, GitLab CI/CD, and Docker
- π Strengthening observability and reliability using Prometheus, Grafana, and CloudWatch
- π Exploring cloud networking, security, high availability, and disaster recovery strategies
- π€ Applying my full-stack and AI engineering experience to build and deploy scalable, production-ready systems
I'm open to DevOps Engineer, Cloud Engineer, Site Reliability Engineer (SRE), and Full-Stack Software Engineer opportunities, where I can:
- βοΈ Design, deploy, and manage scalable AWS cloud infrastructure
- π Build reliable CI/CD pipelines and automate deployments using GitHub Actions, GitLab CI/CD, and Terraform
- π Improve system reliability through monitoring, observability, and incident response
- ποΈ Architect and develop cloud-native applications and microservices
- π€ Leverage my full-stack and AI engineering experience to deliver production-ready solutions
π Based in Sri Lanka | Open to remote opportunities worldwide





