Looking for a job

Eric Cleek

@ericcleek

Message

I build AWS platforms, deployment automation, and observability for regulated systems.

United States

Message

What I'm looking for

I'm looking to build practical cloud platforms, deployment automation, observability, and internal engineering tools, especially in environments where I can untangle complex systems and turn limited documentation into reliable infrastructure.

At Ellumen, I build AWS infrastructure for internal and customer-facing environments, including EKS, ECS, RDS, ALB, Route 53, EFS, and Bedrock. I’ve delivered EKS for Jira Service Management and Confluence, ECS infrastructure for a RAG application, and CI/CD workflows with GitLab CI/CD and GitHub Actions.

I also reverse-engineer poorly documented regulated systems to plan practical monitoring and infrastructure solutions. Previously at STERIS, I built a Python regression-testing framework that reduced medical-equipment testing time by more than 70%.

Experience

Work history, roles, and key accomplishments

Current

Senior Software Engineer / Technical Lead

Current

Ellumen

Feb 2024 - Present (2 years 7 months)

Built AWS infrastructure for internal and customer-facing environments, including EKS, ECS, RDS, ALB, Route 53, EFS, and Bedrock. Served as primary technical contact for architecture and infrastructure questions.

AWS Amazon EKS AWS ECS RDS ALB Route 53 EFS Bedrock Terraform Terragrunt Helm OpenSearch Splunk GitLab CI CD GitHub Actions CI CD Monitoring Infrastructure as Code

Software Engineer

Ellumen

Aug 2022 - Feb 2024 (1 year 6 months)

Built AWS serverless components for processing legacy EHR messages using API Gateway, Lambda, and SQS. Proposed and prototyped replacing Django with FastAPI.

AWS API Gateway Lambda Amazon SQS TypeScript Python fastAPI Pydantic PostgreSQL AWS CDK CI CD Django

Software Engineer in Test

STERIS

Oct 2020 - Aug 2022 (1 year 10 months)

Built Hydra, a Python testing framework that automated regression testing for medical equipment and reduced testing time by more than 70%. Built Python tooling using Pandas, NumPy, and SciPy to analyze fluorescence detection data.