Lead Golang Software Engineer

Citigroup Inc.; London; Hybrid; GBP 50,000 - 90,000; Full time

Job summary

Join a forward-thinking team dedicated to shaping the future of banking through innovative technology and engineering. In this dynamic role, you'll leverage your expertise in Kubernetes and Golang to lead the development of cutting-edge AI products that redefine user experience. Collaborate with talented professionals in a fast-paced environment, where your contributions directly impact the strategic direction of the bank. Enjoy a hybrid working model and a range of benefits designed to support your growth and well-being. If you're passionate about generative AI and eager to tackle complex challenges, this opportunity is perfect for you.

Benefits

27 days annual leave

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

Qualifications

• Deep hands-on knowledge of Kubernetes and backend platform development.
• Experience with AI experimentation and maintaining bug bounty programs.

Responsibilities

• Lead the build of multiple AI products and design high-quality platforms.
• Mentor other engineers and iterate on Generative AI products.

Skills

Kubernetes

Golang

Python

Machine Learning

Generative AI

API Development

MLOps

ETL Development

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.

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

• Bring your deep-dive software engineering expertise
• 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 explore machine learning and its real-world applications at scale. Jump in!
• A relentless passion to learn more about machine learning and generative AI, bringing your knowledge to shape Citi’s future.

What you’ll do within the Tech Strategy team:

• Lead the 0-1 build of multiple AI products
• Design and build high-quality, highly reliable products with user experience at the centre
• Be responsible for engineering innovative, best in class AI platforms for the bank
• Creating firsts in the Generative AI space for Citi as part of the team that defines the strategic direction for the bank
• Continually iterate and scale Generative AI products, whilst listening to the needs of the customers (internal)
• Mentor and nurture other engineers to help them grow their skills and expertise

Experience That Will Help You Succeed In This Role

• Deep hands on knowledge of Kubernetes, developing backend platforms and engineering APIs that scale
• Fluency in Golang is a must-have, (Python is a desirable addition)
• Experience designing control and sandboxing systems for AI experimentation
• Experience maintaining and/or contributing to bug bounty and responsible disclosure programs
• Understanding of language models and transformers
• Rich understanding of vector stores and search algorithms
• Large-scale ETL development
• Direct engineering experience of high performance, large-scale ML systems
• Hands on MLOps experience, with an appreciation of the end-to-end CI/CD process
• Have experience supporting fast-paced startup engineering teams
• A contributor to opensource and always thinking out of the box tooling, using and standardizing with methods of creating APIs , ML/Ops automation and more.

What We Believe In

• We do not have boundaries between engineering and research, and we expect all our technical staff to contribute to both as needed.
• We take a product-focused approach and care about building solutions that are robust, scalable, and easy to use.
• We enjoy working in a fast-paced team tackling cutting-edge problems by constantly testing and learning.
• We enjoy pair programming for our products, we are lean in our approach and remove bureaucracy where we see it.
• We believe in delivering fast, iterating and pivot as we go, rather than defining the perfect solution 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

Alongside these benefits Citi is committed to ensuring our workplace is where everyone feels comfortable coming to work as their whole self, every day. We want the best talent around the world to be energized to join us, motivated to stay and empowered to thrive.

#LI-RH4

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Job Family Group: Technology

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Job Family: Applications Development

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Time Type: Full time

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Qualified applicants will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

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