Tech Lead – Staff Full Stack Engineer
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Job Description
Tech Lead building an AWS serverless forecasting platform with React, Node.js, and TypeScript. Guiding architecture, testing, CI/CD, and machine-learning product integrations.
Responsibilities:
- Build and maintain full-stack applications using React, TypeScript, Node.js and NestJS
- Develop AWS serverless services, including Lambda functions written in TypeScript
- Design and evolve distributed systems and event-driven workflows using Amazon EventBridge, SNS, and SQS
- Build features that integrate with machine learning forecasting models, supporting automated workflows and human interaction
- Develop automated tests across unit, integration, and end-to-end layers, including Playwright
- Improve CI/CD pipelines to support increasingly automated and reliable delivery
- Manage infrastructure as code using Terraform and contribute to delivery workflows through Jenkins
- Monitor production services using Grafana for metrics and OpenSearch for logs and alerts
- Use AI-assisted development practices to improve engineering efficiency while maintaining code quality
- Collaborate with engineers, product stakeholders and colleagues working on forecasting models to deliver features across the platform
- Guide architecture and technical decisions, mentor engineers, and own technical delivery while staying actively involved in development
Requirements:
- Strong commercial experience delivering full-stack applications using TypeScript, React and Node.js
- Experience building backend services using NestJS or a comparable Node.js framework
- Strong hands-on experience with AWS serverless architecture, particularly Lambda
- A solid understanding of distributed systems and event-driven architectures, including asynchronous messaging, failure handling and service reliability
- Experience with Amazon EventBridge, SNS/SQS and DynamoDB, or closely related technologies and patterns
- A strong commitment to test automation, with experience across unit, integration and end-to-end testing
- Experience with Playwright or a comparable end-to-end testing framework
- Familiarity with Terraform, CI/CD pipelines and production observability
- Experience applying AI-assisted tools and practices across the software development lifecycle, with appropriate review and validation
- An understanding of how applications integrate with machine learning models to deliver useful product features, automation and user interaction
- Dedicated MLOps expertise is not required
- A proactive, collaborative approach, with the ability to contribute independently and take ownership of complex engineering work
- Proven experience providing technical leadership, shaping architecture, supporting other engineers and guiding delivery in a complex distributed environment
- Strong verbal and written communication skills in English
- Previous experience building forecasting, predictive analytics or other products powered by machine learning
- Experience designing interfaces and workflows that allow users to review and interact with model outputs
- Hands-on experience with Jenkins, Grafana and OpenSearch
- Experience improving delivery pipelines through advanced test automation and AI-assisted engineering
- Previous experience contributing to an end-to-end platform spanning frontend applications, backend services and model integration
Benefits:
- Be part of a collegial environment where responsibility and authority are shared equally amongst colleagues and help create our company culture
- A culture in which we don’t criticise failure but ensure we learn from our mistakes
- An Agile environment where your ideas are welcome
- The possibility to grow and experience different projects
- Ongoing Training & Mentoring
- The possibility of travelling
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