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Senior Golang Engineer - AI Product & Platforms

United Kingdom, London Employment contract · Job Posted June 14, 2026
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Job Description

We are Citi's Application, Platform and Engineering team, a start-up with the exciting mission of shaping the direction of travel for the entire bank under the Chief Technology Office, by defining the tech and engineering strategy for the bank. We are a team of talented engineers, product managers and tech SMEs, taking ambiguous concepts and making them real by engineering cutting edge products at planetary scale! We are solely focused on the most modern technology and engineering disciplines such as generative AI, cloud, security, modern app stacks (with Golang, Gatekeeper), open source and the latest and greatest in the Kubernetes ecosystem.

Job Responsibility

  • Build AI-powered products from 0-1 – Engineer production-grade, business-facing AI platforms with clean, performant, and maintainable Go code from day one
  • Design and build high-performance backend services – Architect and implement low-latency, high-throughput microservices in Go that operate reliably at planetary scale
  • Design and build developer tools and frameworks – Create reusable libraries, SDKs, and internal tooling in Go that accelerate development across fast-paced engineering teams
  • Tackle complex distributed systems challenges – Design solutions for concurrency, fault tolerance, data consistency, and service orchestration across large-scale distributed environments
  • Champion engineering excellence – Drive best practices in code quality, testing strategies, CI/CD pipelines, and observability to maintain velocity without sacrificing reliability
  • Mentor and elevate the team – Guide other engineers on Go idioms, system design patterns, performance optimization, and building software that scales

Requirements

  • Golang expertise essential
  • Deep-dive Golang engineering expertise from building high-performance, large-scale production systems
  • Production system builder – proven track record of architecting and building large-scale, high-availability production applications and business-facing platforms from the ground up using Go
  • Advanced Go expertise – deep proficiency in Go's concurrency model (goroutines, channels, select), memory management, profiling, and performance tuning for latency-sensitive systems
  • Microservices and API design – extensive experience designing, building, and maintaining RESTful and gRPC APIs with a focus on clean contracts, versioning, and backward compatibility in high-traffic production systems
  • HashiCorp Vault and secrets management – experience integrating with Vault for dynamic credentials, secrets engines, and enterprise-scale secrets management within Go services
  • Enterprise authentication & authorization – designing and implementing OAuth, JWT, RBAC, and complex identity systems with fine-grained access controls in business-critical applications
  • Cloud-native and Kubernetes expertise – building, deploying, and operating containerized Go applications in Kubernetes, leveraging service meshes, Helm charts, and cloud-native patterns at enterprise scale
  • AI/ML platform engineering – experience building backend infrastructure and APIs that serve AI/ML models, manage inference pipelines, and support LLM-powered applications at scale
  • Observability and reliability engineering – implementing comprehensive logging, metrics, distributed tracing, and alerting to ensure system health and rapid incident resolution
  • Database and data layer proficiency – strong experience with both SQL (PostgreSQL, MySQL) and NoSQL (Redis, MongoDB, DynamoDB) databases, including schema design, query optimization, and caching strategies
  • Testing and CI/CD mastery – building robust test suites (unit, integration, end-to-end) and designing CI/CD pipelines that enable rapid, confident deployments to production

Nice to have

Any specific AI engineering projects utilizing LLMs that you're proud of in your application

What we offer

  • 27 days annual leave (plus bank holidays)
  • A discretional annual performance related bonus
  • Private Medical Care & Life Insurance
  • Employee Assistance Program
  • Pension Plan
  • Paid Parental Leave
  • Special discounts for employees, family, and friends

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