Senior Software Engineer (Go) | Cloud, Kubernetes & AI | London, Hybrid
This role does not provide sponsorship.
We’re partnered with a leading global engineerin firm, delivering flagship transformation programmes for some of the world’s largest financial institutions.
This is an opportunity to join a high-calibre engineering team building the next generation of cloud-native platforms, developer tooling and AI-enabled solutions that will be adopted at global scale.
You’ll work on complex engineering challenges, creating reusable platforms, libraries and architectural blueprints that empower hundreds of engineers across a large enterprise environment. This is a role for engineers who enjoy solving difficult problems, influencing technical direction and working at the forefront of modern software engineering.
London, hybrid working – at least one day per week on-site
What You’ll Be Doing
- Building scalable backend services and platform components using Go and other modern technologies
- Designing and developing cloud-native applications and distributed systems
- Creating reusable engineering blueprints and developer platforms
- Driving best practices around software architecture, security and platform engineering
- Working with Kubernetes and containerised environments at scale
- Helping shape the adoption of Generative AI and LLM technologies within a highly regulated environment
- Collaborating with senior stakeholders, architects and engineering teams across a global organisation
- Influencing technical strategy and engineering standards
Essentials for this Role:
- A Bachelors Degree in Computer Science, Engineering or related field
- Strong commercial experience with Go (Golang)
- Experience building distributed systems and microservices architectures
- Deep understanding of Kubernetes and containerisation technologiesStrong cloud experience across AWS, Azure or GCP
- Exposure to platform engineering, developer tooling or internal platforms
- Experience working within complex enterprise environments
- Strong communication skills and the ability to influence technical decisions
Highly desirable experience:
- Working experience with Terraform in IaC, CI/CD and DevOps Practices
- Exposure to (or commercial experience with) AI, Machine Learning or Large Language Model (LLM) platforms
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