At a Glance
- Tasks: Build AI-powered products and high-performance backend services using Golang.
- Company: Join Citi's innovative tech team shaping the future of banking.
- Benefits: Enjoy competitive salary, 27 days leave, hybrid work, and private medical care.
- Other info: Great opportunities for career growth and skill development.
- Why this job: Be part of a dynamic team tackling cutting-edge engineering challenges.
- Qualifications: Expertise in Golang, microservices, and cloud-native architectures required.
The predicted salary is between 70000 - 90000 £ per year.
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.
Generative AI is a growing space, as a result, we ask that you share with us any specific AI engineering projects utilising LLMs that you're proud of in your application. Ideally these projects should show off complex and clever architectures or a systematic evaluation of an LLM's behaviour.
You might be a good fit if you:
- Golang expertise essential.
- Bring your deep-dive Golang engineering expertise from building high-performance, large-scale production systems.
- Thrive in a results-driven environment, where flexibility fuels impact.
- Be a game-changer, ready to step beyond your designated role.
- Love the synergy of pair programming? So do we!
- Seize the opportunity to engineer robust, scalable platforms that power AI applications at enterprise scale.
- A relentless passion to learn more about distributed systems, cloud-native architectures, and bringing your knowledge to shape Citi's engineering future.
What you'll do within the Tech Strategy team:
- 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 optimisation, and building software that scales.
Experience That Will Help You Succeed In This Role:
- 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 containerised 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 optimisation, 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.
What We Believe In:
- We do not have boundaries between backend engineering and product development, and we expect all our technical staff to contribute to both as needed.
- We take a product-focused approach to engineering and care about building solutions that are robust, scalable, and easy for developers to use.
- We enjoy working in a fast-paced team tackling cutting-edge engineering problems by constantly testing and learning.
- We enjoy pair programming for our platform services; we are lean in our approach and remove bureaucracy where we see it.
- We believe in delivering working software fast, iterating and pivoting as we go, rather than defining the perfect architecture upfront.
What we’ll provide you:
This is a unique role that will put you in the position to be part of a new venture and actively drive change. Every day there will be new challenges that will help you develop new skills that can drive your career. By joining Citi London, you will not only be part of a business casual workplace with a hybrid working model (up to 2 days working at home per week), but also receive a competitive base salary (which is annually reviewed), and enjoy a whole host of additional benefits such as:
- 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
Visit our Global Benefits page to learn more.
Senior Golang Engineer - AI Product & Platforms employer: Citibank (Switzerland) AG
Citi London offers an exceptional work environment for Senior Golang Engineers, fostering a culture of innovation and collaboration within a dynamic team focused on cutting-edge AI technologies. Employees benefit from a competitive salary, generous annual leave, and a hybrid working model, alongside opportunities for professional growth and mentorship in a fast-paced, product-driven setting. With a commitment to engineering excellence and a supportive atmosphere, Citi is dedicated to empowering its employees to shape the future of banking technology.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Golang Engineer - AI Product & Platforms
✨Join Local Tech Meetups
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✨Contribute to Open Source Projects
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We think you need these skills to ace Senior Golang Engineer - AI Product & Platforms
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Citibank (Switzerland) AG.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Citibank (Switzerland) AG and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Citibank (Switzerland) AG
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Citibank (Switzerland) AG uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.