Quralyst AI Platform
Production AWS for an AI-driven deal-sourcing platform (Indago Research): containerized services, automated releases, TLS, managed secrets and alerting.
Engineer for production, not just for demos.
Girish Burade
Senior DevOps / Cloud Engineer
5+ years
experience · 5+ years
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AWS Certified
Solutions Architect – Associate
Verify on Credly
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AWS Certified Cloud Practitioner Foundational
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Cisco Certified CCNA Network Associate
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.
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
deliveryCI/CDCodeBuild · CodeDeploy · GitLab CI
provisioningIaCTerraform · Dev / Staging / Prod
runtimeContainersDocker · Compose · ECS / ECR
observabilityMonitoringCloudWatch · SNS · Uptime Kuma
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
AWS deployment flow · reference architecture
From commit to monitored release.
- CodeGit Changes are committed and pushed to version control.
- RepoGitHub · GitLab A push to the main branch triggers the pipeline automatically.
- BuildAWS CodeBuild · GitLab CI/CD · GitHub Actions Builds and validates the application before deployment.
- TestPipeline test stage Standardized test stage plus automated security and vulnerability checks.
- ImageDocker The application is packaged into a versioned container image.
- ECRAmazon ECR Images are pushed to a private registry, ready to roll out.
- DeployAWS CodeDeploy · Amazon ECS Automated rollout with rollback handling — no manual steps.
- EC2 / ASGAmazon EC2 · Auto Scaling · Docker Compose Services run isolated; secrets are injected from AWS Secrets Manager at startup.
- HealthHealth checks Health checks confirm the new release is serving correctly.
- 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.
DevOps skill matrix.
Grouped around the technologies and practices used to build, deploy and operate production systems.
Cloud · AWS
- EC2
- VPC
- S3
- IAM
- ALB / ELB
- Auto Scaling
- Launch Templates
- ECS
- ECR
- Lambda
- Secrets Manager
- AWS Config
- SNS
- AWS CLI
used at · Quralyst AI · Thinkbiz · Genericure
Infrastructure as Code
- Terraform
- Multi-environment
- Dev · Staging · Prod
used at · Thinkbiz
Containers
- Docker
- Docker Compose
- Amazon ECS
- Amazon ECR
- Container logging
used at · Quralyst AI · Thinkbiz
CI/CD
- AWS CodePipeline
- AWS CodeBuild
- AWS CodeDeploy
- GitHub Actions
- GitLab CI/CD
- Git
- Rollback handling
used at · Quralyst AI · Thinkbiz
Monitoring & Reliability
- CloudWatch
- Logs & dashboards
- Alarms
- SNS alerting
- Health checks
- Uptime Kuma
- MS Teams alerts
- Disaster recovery
used at · Quralyst AI · Thinkbiz · Genericure
Security & Compliance
- IAM least privilege
- Secrets Manager
- KMS encryption
- AWS Config
- Vulnerability checks
- Audit trails
used at · Quralyst AI · Thinkbiz
Networking
- Subnets & route tables
- Security groups
- Load balancing
- Nginx reverse proxy
- SSL/TLS
- DNS & domains
- SMTP
used at · Quralyst AI
OS & Scripting
- Linux / Unix
- Bash
- Shell scripting
- Python
used at · Thinkbiz · Genericure
FinOps
- AWS Budgets
- Cost Explorer
- Cost anomaly detection
- Right-sizing
used at · Thinkbiz · Genericure
Databases
- Amazon RDS
- Aurora
- Migrations
- Version upgrades
used at · Thinkbiz
Infrastructure projects.
Real engineering work — source on GitHub, write-ups on Medium.
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.
Monitoring & Alerting
Uptime Kuma checks critical services across Dev, Staging and Production, with Microsoft Teams and mobile call alerts.
Security Check Automation
Automatic security checks in the pipeline scan code and containers before deployment.
AWS Best Practices
Least-privilege IAM, credentials in Secrets Manager, and Terraform-provisioned resources for repeatable deployments.
More on GitHub & Medium
Repositories, infrastructure experiments and write-ups.
Engineering timeline.
Content mirrors my CV. Total: 5+ years.
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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.
- 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).
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DevOps Engineer
Infrastructure: multi-environment AWS with Terraform, ECS delivery pipelines, monitoring, compliance and cost governance.
- 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.
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Cloud Engineer (AWS)
Infrastructure: AWS environments for web applications, from first provisioning to backup, DR and 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.