At a Glance
- Tasks: Design and build scalable backend platforms using Golang for enterprise AI initiatives.
- Company: Join a leading global banking environment focused on innovation and technology.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Diverse and inclusive workplace with a commitment to equal opportunity.
- Why this job: Make an impact in the exciting world of Generative AI and cloud-native technologies.
- Qualifications: Experience in backend development with Golang and knowledge of microservices architecture.
The predicted salary is between 60000 - 80000 £ per year.
We are seeking a highly skilled Senior Backend Engineer (Golang) to design, build, and scale cloud‑native backend platforms that power enterprise AI and Gen AI initiatives across a global banking environment.
This role will focus on developing reusable engineering blueprints, establishing LLMOps best practices, and delivering secure, scalable microservices architectures that operate across hybrid cloud environments spanning public cloud providers and private data centres.
The successful candidate will play a key role in defining backend engineering standards, driving platform adoption across multiple business units, and enabling the safe and scalable use of Generative AI technologies within the organization.
Key Responsibilities – Backend Platform Engineering
- Design, develop, and maintain high‑performance backend services using Golang within distributed and microservices‑based architectures.
- Build enterprise‑grade AI platform capabilities supporting LLMOps, model deployment, inference services, prompt management, model observability, and governance.
- Engineer reusable backend blueprints and reference architectures that serve as standardized patterns across the organization.
- Develop globally scalable systems capable of handling high throughput, low latency, and mission‑critical workloads.
- Cloud‑Native & Hybrid Architecture
- Architect and implement backend services across hybrid environments spanning public cloud platforms and private data centres.
- Build and operate containerized workloads on Kubernetes (K8s) and Open Shift.
- Define deployment patterns, operational standards, and platform best practices for cloud‑native applications.
- Collaborate with platform engineering teams to optimize scalability, resilience, and operational excellence.
- Security & Platform Governance
- Embed security controls throughout the application lifecycle, including:
- Application security
- API security
- Service‑to‑service communication security
- CI/CD pipeline security
- Infrastructure and platform security
- Ensure compliance with enterprise governance, risk, and security requirements.
- Contribute to secure AI adoption frameworks and responsible Gen AI implementation practices.
- Event‑Driven & Data Engineering
- Design and implement event‑driven architectures using Kafka.
- Develop highly available data services leveraging Mongo DB and other enterprise data platforms.
- Optimize data flows, event processing, and backend performance for large‑scale distributed systems.
- Observability & Reliability
• Implement comprehensive observability solutions using
- Prometheus
- Open Telemetry
- Grafana
- Establish monitoring, tracing, logging, alerting, and SRE best practices.
- Drive operational excellence through performance tuning, reliability engineering, and proactive incident prevention.
We believe in equal opportunity for all and actively encourage applications from diverse backgrounds, experiences, and perspectives.
Source Group International Ltd is acting as an Employment Business in relation to this vacancy
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