Work with senior AWS engineers.
AWS engineers who know the difference between a great demo and a system that runs for three years.
We've migrated monoliths to microservices on AWS, built data lakes on S3 and Athena, and run production Kubernetes on EKS for clients who care more about uptime than vendor pageantry. Our engineers write infrastructure-as-code by default and know when to reach for managed services instead of rolling their own.
The bar we hold ourselves to.
Production AWS, not exam AWS
The difference between passing the Solutions Architect cert and keeping a system up under real traffic is the only difference we care about.
Cost-aware from day one
We instrument cost tagging and budgets before writing the first Lambda. You'll never be surprised on the first of the month.
Security by default
Least-privilege IAM, VPC isolation, and secret rotation are baseline, not upgrades.
AWS work, shipped.
Serverless APIs
API Gateway + Lambda + DynamoDB with proper tracing, idempotency, and dead-letter handling.
Container platforms
EKS and ECS clusters with GitOps deployment, autoscaling, and observability baked in.
Data platforms
S3 data lakes, Glue ETL, Athena query engines, and Redshift warehouses for real analytics.
AI/ML infrastructure
SageMaker pipelines, Bedrock integrations, and custom inference on EC2 for latency-sensitive workloads.
Inside our AWS practice.
Adjacent work we take on.
Ready to get started with AWS? Fifteen minutes is all it takes.
