Specific skill · AWS serverless architecture
Serverless
A closer look at Serverless inside the broader AWS serverless architecture area.
CDK construct library for durable serverless workflows
Walks through a reusable AWS workflow pattern with API Gateway, Lambda, DynamoDB, SQS/DLQ, SNS, CloudWatch alarms, and least-privilege grants.
Open the evidenceExamples
Where this skill appears
Public examples grouped by the kind of technical detail they make visible.
Can lead and explain
There is enough structure, tradeoff reasoning, and explanation to evaluate leadership depth.
- CDK construct library for durable serverless workflows
Walks through a reusable AWS workflow pattern with API Gateway, Lambda, DynamoDB, SQS/DLQ, SNS, CloudWatch alarms, and least-privilege grants.
- Operating an event-driven workflow under failure
Shows intake, queueing, async worker behavior, alarms, and telemetry from request acceptance through completion or failure.
- Redis/ElastiCache platform caching across serverless apps
Connects a shared cache foundation to serverless application adoption, including endpoint exports, runtime configuration, and service-level migration boundaries.
Production delivery
This connects to professional delivery experience, with confidential details left out.
- Queue backlog observability walkthrough
Maps queue and worker telemetry to the signals an operator would use in production: depth, age, latency percentiles, error rate, and downstream latency.
Professional context
Where it fits
In production cloud work, I worked on multi-region AWS serverless microservices with near-zero downtime goals and enterprise-scale availability requirements. Most of the hard parts lived between services: identity, deployment, state, retries, and what happens when a piece fails.
Same area