Professional experience and qualifications.
Senior DevOps Engineer
Senior DevOps Engineer with 8+ years of experience driving infrastructure automation, cloud cost optimization, and CI/CD excellence. Reduced monthly GCP spend by 30% through strategic Cloud Run and review-app optimization. Architected dynamic preview environments and automated certificate management systems serving production workloads. Prototyping Nova — a 9-service AI platform POC exploring graph-based cognitive memory, PyTorch re-ranking, and multi-provider LLM routing. The platform layer is where DevOps meets AI, and that's where I'm heading. Currently deepening AWS in production (Terragrunt, Lambda, multi-account) and starting Kubernetes labs in preparation for CKA later this year.
30% GCP cost reduction via shared review-app infrastructure (replacing full-stack per-MR environments), Cloud Run scale-to-zero for non-production services, and build pipeline cleanup (eliminating unnecessary container builds on every commit). Serving parallel AWS and GCP client engagements.
GCP · Terraform · GitLab CI · AWS · Terragrunt · OpenTofu · LocalStack · AWS SAM · Cognito · KMS · Secrets Manager · ECR
Developed cloud administration applications reducing support call durations by 50%. Collaborated on web application for cloud migrations, removing technical interventions. Implemented code review protocols strengthening software quality standards.
TypeScript · GitHub · CI/CD · AWS · Angular
Designed CI/CD pipelines streamlining deployment processes across teams. Architected scalable Puppet infrastructure for environment consistency. Automated user onboarding and routine administrative tasks via PowerShell. Owned on-premises operations end-to-end: updates, disaster recovery and backups, and capacity planning.
On-Prem · Azure · Puppet · PowerShell · IIS · MS SQL Server · SQL
Converted legacy data systems, increasing revenue by $500K. Engineered a CLI automation tool for error log processing, accelerating conversion speed by 50%. Developed SQL scripts for seamless data integration.
COBOL · SQL · PowerShell · Python
Implemented automated pharmacy reporting systems using Python and SQL. Established IT communication protocols with 2-hour response standards. Created comprehensive IT documentation framework.
Windows · Active Directory · PowerShell · Python · SQL
AI & Automation: LLM Integration, Prompt Engineering, Python Automation, RAG Pipelines, AI-Assisted DevOps
AWS Services: IAM, EC2, S3, Lambda, RDS, DynamoDB, CloudFront, API Gateway, Cognito, CloudWatch, KMS, Secrets Manager, ECR, SAM, SNS
CI/CD & Automation: GitLab CI/CD, GitHub Actions, Azure DevOps, TeamCity, GitOps, terraform-docs
Containerization: Docker, Docker Compose, Container Security
Database Management: SQL, Liquibase, Redis, MSSQL, PostgreSQL, DynamoDB
GCP Cloud Platform: Compute Engine, Cloud Run, VPC/Subnets, Private Service Connect, Secret Manager, BigQuery, Cloud Composer (Airflow)
Infrastructure as Code: Terraform, OpenTofu, Terragrunt, AWS CDK, Ansible, VMware vRealize, Cloud-Config
Scripting & Programming: Python, Bash, TypeScript, JavaScript, PowerShell
Linux Administration: Ubuntu/Debian, RHEL/CentOS, Shell Scripting, System Monitoring
Local Development & Testing: LocalStack, Docker Compose, AWS SAM CLI, AWS CLI
Monitoring & Observability: Datadog, GCP Cloud Monitoring, AWS CloudWatch
Security & Compliance: SonarQube, Veracode, Secret Management, IAM Integration, SAST, DAST
Windows Server: Active Directory, IIS, PowerShell Automation, Group Policy
Amazon Web Services
Amazon Web Services
Google Cloud
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