AWS Software Engineering
The software layer on top of the AWS platform — web apps, APIs, microservices, IoT backends, and the SDKs and services that make the data and AI work visible. Cloud-native by default, typed end to end, shipped through CI/CD.
Principles that drive the engineering
Six rules we hold for every application we ship. They're why Stryde went from beta to production in under twelve weeks and applications we shipped years ago are still running today.
-
Ship production from commit one
No throwaway prototypes followed by rewrites. The first release of the first sprint is a step toward production — tests, CI/CD, observability included.
-
APIs are contracts, not endpoints
OpenAPI or GraphQL schema first. Versioning strategy before anyone calls it. Breaking changes are negotiated, not discovered.
-
Typed end-to-end, or not at all
TypeScript across frontend, backend, and shared models. Runtime validation at boundaries. Types are the cheapest tests we run.
-
Performance is a feature
Core Web Vitals budgets set at design time, measured per build, regressed on by the pipeline. Performance is designed in, not tuned later.
-
Accessibility by default
WCAG-aware components, keyboard navigation, semantic HTML, and real-device testing. Accessibility is a baseline, not a sprint later in the roadmap.
-
Observability inside the application
Structured logs, tracing, error reporting, and feature flags. Production-quality telemetry from day one so the first user to hit a bug isn't the first signal.
AWS Software Engineering, end to end
Four modes shape every application we ship: design, build, ship, evolve. Together they take an idea from whiteboard to production-grade platform.
API design and build
REST, GraphQL (AppSync), or tRPC — with typed contracts, OpenAPI specs, authorization baked in, and observability on every call.
Web application development
Modern frameworks on AWS — CloudFront-backed, Cognito-authenticated, globally distributed, and as fast as the browser allows.
Serverless architecture
Event-driven Lambda, API Gateway, DynamoDB, Step Functions — where it fits, not as a religion.
Microservices and modular backends
Bounded contexts on ECS or Lambda, with contract testing and deploy independence, so teams can ship without tripping over each other.
Frontend (React / Preact)
Fast, accessible interfaces. Typed end to end. Real performance budgets. No framework churn for its own sake.
Responsive, accessible UX
Mobile-first, WCAG-aware, and tested in the tools your users actually use. Performance and accessibility tracked per release, not once at launch.
What we reach for, and why
Lambda + API Gateway as the default for new services; ECS on Fargate when a long-running container is a better fit. AppSync for GraphQL.
DynamoDB for high-throughput key-value; RDS / Aurora for transactional and relational; S3 for object storage. Step Functions for stateful workflows.
React for general applications, Preact for bundle-size-sensitive contexts. TypeScript across. Performance budgets are non-negotiable.
Cognito for most customer-facing auth; CloudFront in front of every public application. Edge-side routing where it meaningfully improves latency.
Node.js and TypeScript as the default — one type system across the stack. Python where the workload already leans that way.
CloudWatch and X-Ray as the foundation; OpenTelemetry where the application emits it. Frontend error tracking and RUM paired with backend traces.
The way a project actually runs
From discovery to production in four phases, each with a demo-able checkpoint you review before we move forward.
Discover
Users, workflows, and the systems this has to live inside. Document success criteria before picking AWS services.
Architect
Cloud-native patterns that fit the workload — serverless, containers, event-driven, relational or document. Infrastructure as code from the first commit.
Build in iterations
Short sprints, working demos, feedback on the real thing. Production-ready from the start, not a throwaway prototype followed by a rewrite.
Launch and evolve
Ship with observability, runbooks, and a plan for the next release. Option to continue as managed operations or hand the keys over clean.
Seen in production
Beta to Production in Under Twelve Weeks — on AWS Serverless
Connected-fitness platform — Android tablet app, web portal, e-commerce surface, AWS serverless backend — shipped beta to production in under twelve weeks.
Read the case studyFrom Fintech Prototype to AWS Production — SOC-Ready
Fintech platform migrated from Google Cloud to AWS and driven toward SOC compliance as an embedded multi-year managed team.
Read the case studyPart of these solutions
Software Engineering sits inside the Application Development solution — and stands alone for greenfield product builds, portal modernization, IoT backends, and standalone API or SDK engagements.
Let's scope the build.
Tell us what you're building and what it needs to do. We'll sketch the architecture, size the team, and come back with a scoped path from idea to production — cloud-native on AWS.
Book a Discovery Call