Senior Full Stack Engineer – Tech Lead
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Job Description
Senior Full Stack Engineer and Tech Lead building React, Node.js and TypeScript forecasting platforms. Guiding AWS serverless architecture, testing and machine-learning model integration.
Responsibilities:
- Build and maintain full-stack applications using React, TypeScript, Node.js and NestJS
- Develop AWS serverless services, including TypeScript Lambda functions
- Design and evolve distributed systems and event-driven workflows using Amazon EventBridge, SNS and SQS
- Build features integrating with machine learning forecasting models, supporting automated workflows and human interaction
- Develop automated unit, integration and end-to-end tests, including Playwright
- Improve CI/CD pipelines for increasingly automated and reliable delivery
- Manage infrastructure as code using Terraform
- 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 forecasting-model colleagues
- Guide architecture and technical decisions, mentor engineers and own technical delivery while remaining hands-on
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
- 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
- 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
- Understanding of how applications integrate with machine learning models to deliver useful product features, automation and user interaction
- Proactive, collaborative approach, with 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
- Dedicated MLOps expertise is not required
Benefits:
- The possibility to grow and experience different projects
- Ongoing Training & Mentoring
- The possibility of travelling
- Collegial environment where responsibility and authority are shared equally amongst colleagues
- Culture focused on learning from mistakes rather than criticising failure
- Agile environment where ideas are welcome
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