As a Forward Deployed Engineer, you will bridge the gap between product development and client success. You’ll embed with engineering teams at major financial institutions to design, build, and deliver production-ready implementations of Vault. This hands-on role involves writing Python and Go code while acting as a technical consultant for global digital transformations.
Forward Deployed Engineer at Thought Machine
Join Thought Machine, the fintech powerhouse transforming global banking with its cloud-native core platform, Vault, and backed by over £700m from elite investors including Temasek and JPMorgan Chase. As a Forward Deployed Engineer, you'll embed directly with major financial institutions to replace legacy systems by writing production-quality Python and Go code while acting as the primary technical interface for digital transformation, bridging the gap between high-level architecture and hands-on delivery in a culture recognized as one of Europe’s most innovative and fastest-growing fintechs.
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Location
London, United Kingdom
Compensation
Not Disclosed
Company
Thought Machine
Role overview
Thought Machine is a financial technology company that builds next-generation, cloud-native core banking and payment platforms for banks and digital banking propositions worldwide.[4][9][13] Its flagship product, Vault Core, is a modern, configurable core banking platform designed to run the full operations of banks according to contemporary software engineering best practices, enabling institutions of all sizes to become cloud-native with minimal disruption.[2][9][13] Thought Machine’s technology allows banks to create, manage, and control any financial product or payment scheme they desire on a flexible, high‑performance, cloud-based architecture, helping to replace legacy infrastructure and eliminate the constraints and risks associated with traditional core systems.[2][5][6][11]
What you will do
- Embed directly with client engineering teams to build, test, and deliver production-ready integrations of the Vault banking platform into complex ecosystems.
- Write high-quality backend code in Python and Go to develop custom data pipelines, infrastructure tooling, and core product extensions.
- Act as the technical voice of the client internally, channeling deep technical feedback to product teams to drive continuous platform improvement.
Who this is a fit for
- Hands-on proficiency in Python or Go with the ability to build and troubleshoot complex distributed systems in Linux/Unix environments.
- Practical experience with cloud platforms (AWS, GCP, or Azure), container orchestration (Kubernetes), and messaging systems like Kafka or equivalent technologies.
- Proven ability to manage technical client relationships, translating business requirements into robust, scalable production implementations while owning the end-to-end delivery lifecycle.
Why this role is remarkable
- Unique “embed” model: Unlike traditional consulting, you are a hands-on generalist engineer writing production code alongside client teams to ensure real-world success.
- Unparalleled traction: Join a fintech powerhouse that has raised over £700m from elite global investors like Temasek, JPMorgan Chase, and Standard Chartered.
- Cultural excellence: Work in an environment recognized by Sifted and the Financial Times as one of Europe’s fastest-growing companies and best workplaces.
How Jack & Jill work together
I get to know what you’re great at, then find roles you’d never find yourself.Ok, I'll go first. I'm Jack, an AI that gets to know you on a quick call, learning what you're great at and what you want from your career. Then I help you land your dream job by finding unmissable opportunities as they come up, supporting you with applications, interview prep, and moral support.
I recruit from Jack’s network and make the intro when I spot a great match.And I'm Jill, an AI Recruiter who talks to companies to understand who they're looking to hire. Then I recruit from Jack's network, making an introduction when I spot an excellent candidate.
Jack gets to know what you're great at and what you want next, then searches 15 million jobs daily and helps you discover roles at companies like this.
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What happens next?
Jack’s an AI agent for job searching and career coaching. He works for you.
Jill is the AI recruiter working for the company. She recruits from Jack’s network.
If your profile’s a match and Thought Machine wants to meet, Jill will make the intro. In the meantime, Jack will send you excellent alternatives.