DEVOPS INTERN · AWS · CLOUD OPERATIONS · AUTOMATION

BUILDING RELIABLE CLOUD INFRASTRUCTURE THROUGH AUTOMATION

I'm a DevOps Intern at MillenniumIT ESP and an IT undergraduate at SLIIT, gaining hands-on experience in AWS cloud operations, Linux troubleshooting, monitoring, deployment support, CI/CD, and internal engineering tools.

VIEW MY WORK →RESUME →CONTACT ME →
GITHUBLINKEDIN
Professional portrait of Hasintha Pasindu
AWS · LINUX · OBSERVABILITY

ABOUT ME

MY DIRECTION

I'm a DevOps Intern within Managed Infrastructure Services at MillenniumIT ESP and an IT undergraduate at SLIIT. My current work involves cloud monitoring, alert investigation, Linux troubleshooting, deployment support, operational documentation, and internal engineering initiatives.

I enjoy understanding how systems behave in real environments, investigating failures, reducing repetitive work through automation, and contributing to tools that improve day-to-day engineering operations.

I'm working toward a career in DevOps, Cloud Engineering, and Platform Engineering, with a long-term focus on automation, observability, and reliable infrastructure.

INTERESTS

Linux SystemsCloud ArchitectureAutomationObservabilityContainerizationCI/CDTechnical WritingContinuous Learning

PROFESSIONAL EXPERIENCE

MILLENNIUMIT ESP

DEVOPS INTERN

Managed Infrastructure Services · DevOps Cluster

DEC 2025 — PRESENT

  • Support production and non-production cloud operations, including monitoring, alert triage, incident investigation, deployment validation, and operational handovers.
  • Analyse Amazon CloudWatch logs, metrics, and AWS Lambda executions to investigate issues and contribute to technical findings and root-cause documentation.
  • Work with AWS services including EC2, IAM, S3, CloudWatch, Lambda, EKS, and serverless services such as API Gateway, DynamoDB, EventBridge, and SQS.
  • Perform Linux operational tasks including log analysis, disk-usage monitoring, service troubleshooting, and deployment support.
  • Supported an Amazon EKS implementation and migration through documentation, deployment validation, operational checks, and post-deployment testing.
  • Contribute to internal cloud-native engineering tools and CI/CD initiatives through development, testing, debugging, workflow automation, and continuous improvement.
  • Use Jira, Confluence, Git, Microsoft Teams, and Agile sprint practices for task tracking, documentation, collaboration, and knowledge sharing.

FEATURED PROJECTS

INFRASTRUCTURE

Containerized Weather Dashboard with CI/CD

Multi-stage Docker builds with GitHub Actions CI/CD. Multi-platform container images with nginx reverse proxy. Includes API uptime monitoring and automated deployment.

DOCKERGITHUB ACTIONSNGINXREACT
VIEW ON GITHUB →
BACKEND

AWS-Deployed Inventory Management Platform

Full-stack inventory management with Docker and GitHub Actions CI/CD. Deployed to AWS EC2 with automated backups and monitoring. MongoDB backend with React frontend.

NODE.JSMONGODBAWS EC2DOCKER
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OBSERVABILITY

Portfolio Reliability and Observability Pipeline

A portfolio reliability and observability pipeline built with production-oriented practices. It uses GitHub Actions for scheduled uptime checks, performance audits, Web Vitals tracking, and CI/CD quality gates.

GITHUB ACTIONSLIGHTHOUSEWEB VITALSCI/CD
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AUTOMATION

Real-Time Log Monitoring and Alerting Platform

Real-time log monitoring system with automated alerting. Detects critical keywords, handles log rotation, and sends multi-channel notifications. Includes Flask dashboard for alert visualization and filtering.

PYTHONFLASKMONITORINGALERTS
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CLOUD ENGINEERING

Encrypted AWS Backup Automation System

An automated backup reference implementation with AES-256 encryption and incremental backups. It includes interactive restore, progress tracking, secure credential management, and cron or Task Scheduler automation.

PYTHONAWS S3BOTO3ENCRYPTION
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PROFESSIONAL CASE STUDY

Serverless Operations Handover Platform

Contributed to a sanitized internal cloud-native platform that supports operational handovers, role-based access, session continuity, automated processing, notifications, and task continuity. My work included workflow development and debugging, serverless backend enhancements, UI refactoring, CI/CD support, testing, and technical documentation.

REACTTYPESCRIPTAWS SERVERLESSCI/CD
SANITIZED CASE STUDY

HOMELAB SHOWCASE

ARCHITECTURE

Production-style monitoring & observability stack on Ubuntu VMs

  • •Endpoint Servers: Ubuntu VMs running Node Exporter for metrics collection
  • •Monitoring Server: Prometheus & Grafana for metrics storage and visualization
  • •Database Server: PostgreSQL for Grafana metadata & dashboards
  • •Security & Network: systemd services, firewall rules, network isolation

STATS

3
Server Roles
VM-Based
Architecture
Production-Style
Observability

RUNNING SERVICES

Prometheus

Metrics collection & time-series storage

Grafana

Visualization & alerting dashboards

Node Exporter

System metrics from endpoint servers

PostgreSQL

External database for Grafana

PLANNED ENHANCEMENTS

Alertmanager
PLANNED

Alert routing & notification

Grafana Loki
PLANNED

Centralized logging

TECHNICAL SKILLS

Cloud

AWS EC2 · S3 · IAM · Lambda · CloudWatch · EKS

Infrastructure

Linux · Docker · Terraform

Monitoring

Prometheus · Grafana · Zabbix · Log Analysis

Delivery

Git · GitHub Actions · CI/CD

Operations

Alert Investigation · Deployment Support

Troubleshooting · Documentation

  • Cloud operations and deployment support
  • Infrastructure automation and CI/CD workflows
  • Monitoring, alert investigation, and log analysis
  • Linux troubleshooting and operational documentation

LATEST ARTICLES

WHAT I WRITE ABOUT

I share practical lessons from cloud operations, DevOps projects, infrastructure automation, containers, and continuous learning.

DevOpsInfrastructureCI/CDContainers
MEDIUM

How Docker and CI/CD Saved Me From Deployment Nightmares

Real-world lessons on killing the 'works on my machine' problem using containers and automated pipelines.

4 min read • Nov 2025
MEDIUM

How to Build Faster, Smaller, and Cleaner Docker Images

How to reduce Docker image size and improve performance with lightweight base images, combined steps, caching, and multi-stage builds.

3 min read • Nov 2025
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RESUME

View a concise overview of my experience in AWS cloud operations, Linux troubleshooting, monitoring, automation, CI/CD, and internal engineering tools.

EMAIL FOR RESUME →VIEW LINKEDIN →

LET'S CONNECT

I'm interested in DevOps, Cloud Engineering, Platform Engineering, SRE, and Managed Infrastructure opportunities where I can continue developing my skills in AWS, Linux, automation, monitoring, and reliable cloud operations.

EMAIL ME →VIEW RESUME →
EmailLinkedInGitHub