Flipdish

Software Engineer

Flipdish

full-time

Posted on:

Location: 🇮🇪 Ireland

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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
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