At a Glance
- Tasks: Design and build cloud-native backend platforms using Golang for enterprise AI initiatives.
- Company: Join a leading global banking environment focused on innovative technology.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Be part of a forward-thinking team with excellent career advancement opportunities.
- Why this job: Make an impact by driving the adoption of Generative AI technologies in a dynamic setting.
- Qualifications: Proven experience in backend engineering with Golang and strong collaboration skills.
The predicted salary is between 63000 - 77000 £ per year.
Reference: 57555We 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.
Senior Software Engineer (GO) in London employer: Source Group International
Join a forward-thinking global banking environment that prioritises innovation and employee growth. As a Senior Software Engineer, you'll be part of a collaborative culture that values your expertise in developing cutting-edge AI platforms while enjoying competitive benefits and opportunities for professional development. With a focus on secure and scalable solutions, this role offers a unique chance to shape the future of technology in finance.
Contact Details:
Source Group International Recruitment Team
