Senior Golang Engineer

Job in Greater London, London, Greater London, W1B, England, UK

Listing for: JUXT

Full Time position
Listed on 2026-07-20

Job specializations:

Software Development
Backend Developer, Golang, Cloud Engineer - Software

Salary/Wage Range or Industry Benchmark: 90000 - 120000 GBP Yearly GBP 90000.00 120000.00 YEAR

Location: Greater London

Join our JUXT Tier 1 Bank teams AI Product&Platform team, a high-growth engineering group operating with a start-up mentality inside one of the world’s largest financial institutions. Working within the Chief Technology Office, you’ll help build the next generation of AI-powered products and platforms that will shape how technology is delivered across the bank. This is an opportunity to work at the forefront of Generative AI, cloud-native engineering and distributed systems, building scalable solutions from the ground up while collaborating with some of the industry’s most talented engineers and AI specialists.

Key Responsibilities

Design and build AI-powered products and platforms using Golang.
Develop high-performance backend services and APIs that operate at enterprise scale.
Build and enhance internal developer tools, frameworks and reusable components.
Partner with product, engineering and AI teams to turn innovative ideas into production-ready solutions.
Contribute to the design and implementation of cloud-native, microservices-based architectures.
Drive engineering best practices across code quality, testing, observability and CI/CD.
Solve complex distributed systems challenges, focusing on scalability, resilience and performance.
Mentor engineers and contribute to a collaborative, high-performing engineering culture.

Skills & Experience

Golang (Go) expertise is essential, with a proven track record of building scalable, business-critical applications in production environments.
Strong experience designing and developing large-scale backend services and APIs.
Proven ability to build and operate systems within microservices and distributed environments.
Experience with cloud-native technologies, containerisation and Kubernetes.
Strong understanding of software engineering fundamentals, system design and performance optimisation.
Experience building products and platforms from concept through to production.
Exposure to AI, Machine Learning or LLM-powered applications is highly desirable.
A passion for modern engineering practices, continuous learning and solving complex technical problems.

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