AWS Lambda Development
We architect and build serverless applications on AWS Lambda for teams that need event-driven systems without the overhead of managing servers. All engineering is done in-house, in Virginia.
Capabilities
What we build with Lambda
We design and build Lambda-based systems for teams that want event-driven architectures without the operational overhead of managing servers. The work spans API backends, processing pipelines, scheduled automation, and multi-step workflows.
HTTP / REST / GraphQL
API Backends
Lambda functions behind API Gateway handle REST and GraphQL endpoints without server management. Traffic spikes are absorbed automatically, and you pay only for the requests that actually run.
EventBridge · SQS
Event-Driven Pipelines
EventBridge rules route domain events to Lambda handlers, keeping producers and consumers decoupled. We design the event schema and the routing rules before the build begins.
CloudWatch Events
Scheduled Automation
CloudWatch Events trigger Lambda on a schedule for batch processing, reporting, and maintenance operations that run on a fixed cadence without a dedicated server.
DynamoDB Streams · Kinesis
Data Transformation
Lambda processes records from DynamoDB Streams, Kinesis, or S3 events for real-time data movement, enrichment, and format conversion between services.
Inbound integrations
Webhook Processing
Lambda handlers receive inbound webhooks, validate the payload, and fan out to downstream services. We build dead-letter queues and retry logic into the infrastructure layer from the start.
Multi-step orchestration
Step Functions Workflows
Complex multi-step operations such as order processing, document pipelines, and approval flows are composed as Step Functions state machines with Lambda tasks at each step.
Our approach
Architecture before code
Before writing a line of code, we map the event flow and define function responsibilities. A Lambda function should do one thing well. When functions accumulate too many responsibilities, testing becomes harder, cold starts get longer, and the system becomes difficult to reason about under production pressure.
We define function boundaries, event contracts, and error handling paths in the architecture session. That work typically saves several build cycles later.
Observability from the first deployment
CloudWatch dashboards, structured logging, and X-Ray tracing are set up in the infrastructure layer, not added after the fact. If you cannot see what a function is doing in production, you cannot operate it confidently. We treat observability as a build requirement, not a post-launch task.
Infrastructure is always code
We use AWS CDK or Terraform depending on what fits the project's existing tooling. Either way, the infrastructure is version-controlled, reviewable, and deployable through the same CI/CD pipeline as the application code. Manual console configurations do not survive team transitions.
Testing at every layer
Lambda functions are inherently testable in isolation. We write unit tests for function logic, integration tests for the event contracts between services, and end-to-end tests that validate the full workflow in a staging environment before anything reaches production.
All engineering work is done by US-based engineers. We do not offshore any development or architecture work.
Part of our software engineering services. We work across the full stack, cloud platforms, and architectural patterns.
FAQ
Common questions
Virginia · United States
Ready to build on Lambda?
If you are designing a serverless system or evaluating whether Lambda is the right fit for your workload, then reach out and we will walk through the architecture with you before any commitment is made.