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Technical Lead / Full Stack Engineer, London
Client:
Location:
London, United Kingdom
Job Category:
Other
EU work permit required:
Yes
Job Reference:
f21ec1d85f70
Job Views:
10
Posted:
26.04.2025
Expiry Date:
10.06.2025
Job Description:
Technical Lead/Full Stack Engineer
Hybrid Working - 3 Days a week in the office - London, UK
Salary - £100,000 to £120,000 + Bonus + Pension
About the Job
Our client is searching for a Technical Lead who is a proficient Full Stack Engineer to join their team of experts based in London. The team comprises consultants, statisticians, cyberneticians, and IT specialists. They seek an individual who is numerate, data-oriented, flexible, and pragmatic.
The ideal candidate will thrive in a small company environment and be ready to make a significant impact. They will play a key role in transitioning from a traditional consultancy to a software business (SaaS), tailoring solutions to meet clients' needs. This involves modernising their Java-based software into a cloud-based system, employing React for the front end.
As a pivotal member of the IT team, you'll be instrumental in specifying, designing, and implementing new systems, driving future growth. They are looking for someone hands-on, experienced in development and project leadership, capable of collaborating with external teams, transitioning from legacy systems to microservices and APIs, and possessing a solid understanding of business. An entrepreneurial mindset is highly valued as you'll contribute to shaping the company's strategic direction.
Technical Stack
* Json and Rest API’s
* MS Azure, Linux, Docker, and container orchestration
* SaaS Business Models and cloud solutions experience
* Experience with UI design tools (Adobe XD)
* React experience designing and developing UIs to collect and display analytical data
* Development and documentation of Web APIs (Swagger, Open API)
Wider personal background:
* Good interpersonal skills and the ability to communicate about technical issues with business consultants
* Background in Maths, Statistics, Economics, Business studies, or similar
* Data validation, analysis, modelling, and interpretation
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