Product Engineer
Trig
JavaScriptPythonRubyTypeScript
Job Level
Mid-LevelSenior
Tech Stack
AWSCloudDynamoDB
About the role
- Join Flipdish’s Platform Enablement Team to build a modern serverless, event-driven platform for thousands of restaurants
- Develop and maintain opinionated patterns and libraries using SST + CDK to support high-quality application development on AWS
- Define and codify best practices for AWS Lambda, API Gateway, S3, SQS, EventBridge, DynamoDB and Cloudflare Rules and Workers
- Partner with teams to adopt architectural patterns (multi-account guardrails, observability, testing)
- Create reusable IaC components (CDK constructs and aspects) and extend GitHub Actions pipeline tooling
- Build guardrails into the developer experience to ensure quality, cost-effectiveness, and safety by default
- Work product-centrically with engineers using automation, templates and Gen-AI rules; measure impact and prioritise platform investments
- Build, evolve and own shared platform services and extract shared capabilities from monolithic systems
- Participate in Product-Engineering-wide hack and build days and collaborate within a small high-ownership team
Requirements
- Solid software engineering skills and experience building cloud-native, production-grade systems
- Experience using AWS serverless services (Lambda, API Gateway, EventBridge, S3, SQS) and hands-on experience using CDK or SST
- Experience with observability and monitoring tools (Datadog, Dynatrace, Honeycomb, AWS CloudWatch) and incident response practices
- A pragmatic approach to infrastructure: know when to abstract, when to standardise, and when to get out of the way
- Understanding of CI/CD and experience with GitHub Actions or similar pipeline frameworks
- Strong communication skills and a collaborative approach to working with product and engineering teams
- Bonus: experience running workshops and learning initiatives
- Bonus: experience with Cloudflare (Workers, Rules, Durable Objects), Cursor AI or similar AI copilots, and platform product thinking
