TypeScript Node.JS Developer on AWS

Expert Employment; London; On-site; GBP 50,000 - 80,000; Full time

Job summary

A leading cloud services development team is seeking a Backend Typescript Software Engineer in London. The successful candidate will work hands-on within a dynamic team, focusing on high-performing AI and ML services within an industrial workflow management context. This role offers the opportunity to advance into technical leadership quickly and impact R&D efforts significantly.

Qualifications

• Experience in developing high-performing AI and ML services.
• Ability to understand complex workflows and improve them.
• Strong knowledge in CI/CD processes and testing.

Responsibilities

• Develop new features and APIs for the software system.
• Support Data Science and deploy machine learning systems.
• Optimize performance and manage software infrastructure.

Skills

Typescript expert

AWS experience

NodeJS

Job description

Backend Typescript Software Engineer required to join a cloud services development team working on an industrial workflow and process management system that takes real-world IoT device data including location tracking, computer vision, and time series data, to enable clients to monitor and proactively manage plant processes, logistics, and engineering deliveries.

You will join an existing application development team in a very hands-on role. The ideal candidate will have a logical thought process that enables them to quickly understand the complex, rules-based logic of clients' workflows.

This role requires fluency in the technology stack, with the expectation that the candidate can move into a technical leadership position quickly, helping to propel the product roadmap and R&D pipeline forward.

Skills

• Typescript expert with AWS experience
• NodeJS

Role

The Senior Backend Software Engineer will join an existing software team reporting to the Chief Technology Officer.

Work involves developing a world-class AWS event-driven design that delivers high-performing Artificial Intelligence and Machine Learning services.

This is a challenging and varied position involving developing new features and APIs, performance optimization, CICD and test suite improvements, updating core software and infrastructure libraries used across many client services, supporting Data Science, and deploying ML systems.