01 · about

Engineer for production, not just for demos.

Girish Burade #OpenToWorkLooking for new opportunities

Girish Burade

Senior DevOps / Cloud Engineer

5+ years experience · 5+ years

I design, automate and operate production AWS infrastructure. My day-to-day spans CI/CD pipeline engineering, Infrastructure as Code with Terraform, Docker and Amazon ECS/ECR, and monitoring with CloudWatch — plus Linux, networking, security and cost optimization work that keeps production healthy.

  • Automation mindsetIf I have to do it twice, I automate it — Terraform, shell and Python.
  • Production deploymentsRelease workflows with CodeBuild, CodeDeploy, ECR and CI/CD tooling.
  • Reliability & monitoringCloudWatch alarms, SNS and uptime monitoring to catch issues before users do.
  • Security & costIAM least privilege, Secrets Manager, KMS, AWS Config and FinOps practices.
collaborative

Work closely with developers. Blameless postmortems and shared ownership — "you build it, you run it."

automate-first

Repeatable, reviewable infrastructure over manual steps.

secure-by-default

Least privilege, managed secrets, backup and disaster recovery strategy.

02 · skills

Technical expertise.

Core competencies built through production experience across multiple organizations and cloud environments.

Cloud & Infrastructure

  • AWS: EC2, ECS, ECR, ALB, RDS, CloudWatch, SNS, IAM, Secrets Manager, CodeBuild, CodeDeploy, CodePipeline, Config, Budgets, Cost Explorer, VPC, Auto Scaling, Launch Templates
  • IaC: Terraform (modules, workspaces, remote state), CloudFormation basics
  • Containers: Docker, Docker Compose, ECS (EC2 launch type), image optimization

CI/CD & Automation

  • Pipelines: GitLab CI/CD, GitHub Actions, AWS CodePipeline, CodeBuild, CodeDeploy
  • Patterns: Blue-green deployments, zero-downtime releases, automated testing gates, rollback strategies
  • Scripting: Bash, Python for automation, infrastructure tooling

Observability & Reliability

  • Monitoring: CloudWatch (metrics, logs, alarms, dashboards), Uptime Kuma
  • Alerting: SNS, Microsoft Teams integration, mobile call notifications
  • Practices: SLI/SLO thinking, health checks, incident response, blameless postmortems

Security & Governance

  • IAM: Least privilege, roles, policies, cross-account access, MFA enforcement
  • Secrets: AWS Secrets Manager, KMS, parameter store, zero hard-coded credentials
  • Compliance: AWS Config drift detection, vulnerability scanning, backup & DR

Linux & Networking

  • OS: Ubuntu, Amazon Linux, RHEL — system administration, hardening, troubleshooting
  • Networking: VPC, subnets, routing, DNS (Route 53), TLS/SSL, Nginx reverse proxy, load balancing
  • Tools: SSH, iptables, netstat, tcpdump, journalctl, htop

FinOps & Cost Optimization

  • Analysis: AWS Cost Explorer, Budgets, Cost Anomaly Detection, rightsizing
  • Actions: Decommissioning unused resources, Reserved Instances, Savings Plans, storage tiering
  • Governance: Tagging strategies, cost allocation, budget alerts

DevOps & Cloud Engineer

Building scalable cloud infrastructure, automated CI/CD pipelines and reliable production systems.

I'm Girish Burade — a Senior DevOps / Cloud Engineer with 5+ years designing, automating and operating production AWS infrastructure.

  • AWS
  • Terraform
  • Docker
  • CI/CD
  • Linux
  • CloudWatch
View Infrastructure View Projects Download Resume
AWS Certified Solutions Architect Security-first mindset Cost optimization focus
deliveryCI/CDCodeBuild · CodeDeploy · GitLab CI
provisioningIaCTerraform · Dev / Staging / Prod
runtimeContainersDocker · Compose · ECS / ECR
observabilityMonitoringCloudWatch · SNS · Uptime Kuma
03 · infrastructure

How I ship to production.

The reference pattern I build and run on AWS — from commit to monitored workload. Hover or tap a node to inspect it.

ci/cd pipeline

From commit to monitored release.

AWS deployment flow · reference architecture
  1. CodeGit Changes are committed and pushed to version control.
  2. RepoGitHub · GitLab A push to the main branch triggers the pipeline automatically.
  3. BuildAWS CodeBuild · GitLab CI/CD · GitHub Actions Builds and validates the application before deployment.
  4. TestPipeline test stage Standardized test stage plus automated security and vulnerability checks.
  5. ImageDocker The application is packaged into a versioned container image.
  6. ECRAmazon ECR Images are pushed to a private registry, ready to roll out.
  7. DeployAWS CodeDeploy · Amazon ECS Automated rollout with rollback handling — no manual steps.
  8. EC2 / ASGAmazon EC2 · Auto Scaling · Docker Compose Services run isolated; secrets are injected from AWS Secrets Manager at startup.
  9. HealthHealth checks Health checks confirm the new release is serving correctly.
  10. MonitorCloudWatch · SNS · Uptime Kuma Metrics, logs and alarms notify the team before users notice.
stage Code Git

Changes are committed and pushed to version control.

reference architecture

From load balancer to monitored workload.

04 · projects

Infrastructure projects.

Real engineering work — source on GitHub, write-ups on Medium.

kubernetes · ci/cd · terraform · case study

Cloud-Agnostic Zero-Downtime Deployment Platform

Terraform-provisioned platform that ships one signed, scanned image digest from dev to production, with metric-gated rollouts, automatic rollback and queue-based autoscaling. Tested on Kubernetes: 36,001 requests during a live rollout, 0 failed.

  • Kubernetes
  • Helm
  • Terraform
  • GitHub Actions
  • Trivy
  • Cosign
  • KEDA
  • Argo CD
  • PostgreSQL
  • Redis
production · current role

Quralyst AI Platform

Production AWS for an AI-driven deal-sourcing platform (Indago Research): containerized services, automated releases, TLS, managed secrets and alerting.

  • EC2
  • Docker Compose
  • Nginx
  • CodeBuild
  • CodeDeploy
  • ECR
  • CloudWatch
aws · containers

Scalable Web App on ECS + EC2

Flask app with zero-downtime blue-green releases, auto-scaling, Multi-AZ and PostgreSQL on RDS — provisioned with Terraform.

  • ECS
  • ALB
  • RDS
  • Terraform
  • Docker
observability

Monitoring & Alerting

Uptime Kuma checks critical services across Dev, Staging and Production, with Microsoft Teams and mobile call alerts.

  • Uptime Kuma
  • MS Teams
  • Alerting
devsecops

Security Check Automation

Automatic security checks in the pipeline scan code and containers before deployment.

  • DevSecOps
  • CI/CD
  • Containers
aws · governance

AWS Best Practices

Least-privilege IAM, credentials in Secrets Manager, and Terraform-provisioned resources for repeatable deployments.

  • IAM
  • Secrets Manager
  • Terraform
github.com/Girish7010

More on GitHub & Medium

Repositories, infrastructure experiments and write-ups.

05 · experience

Engineering timeline.

Content mirrors my CV. Total: 5+ years.

  1. Oct 2025 — Present current Bengaluru, India · Remote

    Senior DevOps / Cloud Engineer

    Quralyst AI by Indago Research

    Infrastructure: production AWS on EC2 for an AI-driven deal-sourcing platform — containers, release automation, TLS, secrets and alerting.

    • EC2
    • Docker
    • Compose
    • CodeBuild
    • CodeDeploy
    • ECR
    • Nginx
    • Secrets Manager
    • CloudWatch
    • SNS
    • JumpCloud
    • Built and operate production AWS infrastructure on EC2, running frontend, backend, scraper and Redis workloads as isolated Docker and Docker Compose services.
    • Implemented end-to-end deployment automation with AWS CodeDeploy, CodeBuild and Amazon ECR, removing manual deployment steps.
    • Configured Nginx as a reverse proxy with domain-based HTTP/HTTPS routing and SSL/TLS termination.
    • Integrated AWS Secrets Manager to inject credentials and configuration into containers at startup, eliminating hard-coded secrets.
    More contributions
    • Engineered CloudWatch monitoring, alarms and SNS notifications — including EC2 network-traffic alerting — to detect issues before user impact.
    • Improved stability by isolating browser-based workloads into a dedicated Playwright scraper worker; evaluated Auto Scaling (Launch Templates, ASG, ALB) for scalable tiers.
    • Resolve production incidents end to end across Docker containers, deployments, Nginx, SMTP authentication, CloudWatch alarms and EC2 CPU, memory and disk.
    • Led JumpCloud evaluation and implementation planning with Google Workspace integration and AWS access alignment (MFA, SSO, access control, managed devices).
  2. Feb 2022 — Jul 2025 Ahmedabad, India

    DevOps Engineer

    Thinkbiz Technology Pvt Ltd

    Infrastructure: multi-environment AWS with Terraform, ECS delivery pipelines, monitoring, compliance and cost governance.

    • Terraform
    • GitLab CI/CD
    • Docker
    • ECS
    • CloudWatch
    • Uptime Kuma
    • AWS Config
    • Budgets
    • Cost Explorer
    • RDS
    • Automated infrastructure provisioning with Terraform for consistent, repeatable deployments across Dev, Staging and Production.
    • Built and maintained CI/CD pipelines using GitLab CI/CD and Docker for Amazon ECS deployments, standardizing build, test and release stages.
    • Designed monitoring and alerting with CloudWatch and Uptime Kuma integrated into Microsoft Teams for real-time service health visibility.
    • Delivered cloud cost optimization using AWS Budgets, Cost Explorer and Cost Anomaly Detection, decommissioning unused resources.
    More contributions
    • Configured centralized logging and proactive alerting to identify and resolve infrastructure issues early, reducing unplanned downtime.
    • Enforced continuous security and compliance through AWS Config drift detection and automated vulnerability checks via shell scripting.
    • Executed database migrations and version upgrades with minimal downtime, and managed full cloud account migrations from assessment to post-migration optimization.
    • Architected scalable, secure AWS solutions to customer requirements with cross-functional teams.
  3. Jan 2020 — Nov 2020 Nagpur, India

    Cloud Engineer (AWS)

    Genericure

    Infrastructure: AWS environments for web applications, from first provisioning to backup, DR and monitoring.

    • AWS
    • AWS CLI
    • Shell
    • Backup & DR
    • Monitoring
    • Designed and deployed AWS infrastructure for web applications, standing up new project environments from scratch.
    • Automated provisioning and configuration using AWS CLI and shell scripting.
    • Implemented backup and disaster recovery strategies for business-critical AWS resources.
    • Performed cost optimization, applied AWS security best practices, and owned monitoring, incident troubleshooting and documentation.
06 · contact

Let's build reliable infrastructure.

Open to DevOps Engineer, Cloud Engineer and FinOps Engineer roles — remote, hybrid or on-site in India.

> Ready to build reliable infrastructure.
> Let's connect.
architecture

Architecture