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Thought Machine

Forward Deployed Engineer

Thought Machine is hiring a Forward Deployed Engineer for a remote role open to applicants in Singapore. Level rates it ; you can apply on Thought Machine.

Level's read on this job

  • Little AI ●○○○ is how Level rates this forward deployed engineer role: aI is not part of the work.
  • The posting lists this role as remote.
  • Tools and skills the posting cites include Vault, software engineering and backend.
  • Level classifies it as a mid-level role.
  • Level lists 32 other open roles at Thought Machine.

AI in this role

Embed directly with client engineering teams to build and deliver production-ready implementations of core banking technology.

vault
software-engineeringbackendsystems-integrationinfrastructureconsulting

Thought Machine's mission is bold – to properly and permanently rid the world's banks of legacy technology. To achieve this, we have developed the foundations of modern banking through core and payments technology which run natively in the cloud. What we are attempting is hard and means we need great people working together to build great technology.

We have grown rapidly in the past few years – growing our team to more than 550 individuals across offices in London, New York, Singapore, Sydney and our newly established Engineering Hub in Lisbon. We have raised more than £500m in funding and our investors include Molten Ventures, Eurazeo, Intesa Sanpaolo, Temasek, Nyca Partners, JPMorgan Chase Strategic Investments, Standard Chartered Ventures, and more.

We have created a culture that enables our team to produce the best work in the industry while ensuring we have fun along the way. We're regularly cited as having a fantastic workplace culture and have been recognised by Sifted magazine as having one of the highest Glassdoor ratings for a UK fintech company and the industry's most generous employee share package. Named one of the world's most innovative fintechs by Global Finance Magazine, we were also recognised by the Financial Times as one of Europe's fastest-growing companies for two consecutive years—and a UK Best Employer for 2026.

The Forward Deployed Engineer is Thought Machine's primary technical interface with the client. FDEs embed directly with client engineering teams to design, build, and deliver production-ready implementations of Vault and associated products. This is a hands-on, generalist engineering role that spans backend development, systems integration, infrastructure, and technical consulting—driven by one goal: making the client successful.

FDEs operate across the full project lifecycle ensuring requirements are implemented, tested and work to improve the product based on client feedback. You will be expected to travel to client sites (up to 25% of your time), work autonomously in complex environments, and act as the connective tissue between Thought Machine's product engineering and the client's delivery teams.

 

Duties

Client Delivery & Embedding

  • Embed with client engineering teams on-site and remotely to deliver working implementations of Thought Machine Vault products, from initial design through production readiness.

  • Own the technical success of your assigned client engagements—you are accountable for solutions that work in practice, not just in architecture documents.

  • Work closely with client architects, engineers, and programme leads to translate business requirements into technical delivery plans.

  • Act as technical point of contact for the client, building trust through deep competence and consistent delivery.

Engineering & Problem Solving

  • Write production-quality code (primarily Python/Go; additional languages a plus) to build integrations, tooling, data pipelines, contribute to core products and extensions that connect Vault to the client's ecosystem.

  • Debug, troubleshoot, and resolve complex technical issues across distributed systems—including databases, messaging systems, container orchestration, and cloud infrastructure.

  • Design and deliver scalable solutions covering high availability, disaster recovery, capacity planning, and security in collaboration with client and internal teams.

  • Contribute to internal tooling, frameworks, and reusable patterns that accelerate delivery across all FDE engagements.

Technical Consulting & Presales

  • Support the Commercial team during presales by answering deep technical questions, running proof-of-concept implementations, and demonstrating feasibility.

  • Advise clients on best practices for Vault implementation, including system design beyond Vault's boundaries—empowering genuine digital transformation.

Feedback & Product Improvement

  • Serve as the voice of the client internally—channel technical feedback, pain points, and feature requests to product and engineering teams.

  • Identify patterns across engagements that can be turned into product improvements, documentation, or shared tooling.

  

Requirements

Essential

  • Engineering Proficiency – Strong hands-on experience with one of Python or Go. Comfortable working with ambiguous requirements to quickly iterate client ideas.

  • Systems & infrastructure literacy – Working knowledge of Linux/Unix environments, container orchestration (Kubernetes), databases (PostgreSQL or equivalent), and messaging systems (Kafka or equivalent). You don't need to be a deep specialist in all of these, but you need to be familiar with the technologies.

  • Cloud platform experience – Practical experience with at least one major cloud provider (AWS, GCP, or Azure), including deploying and operating workloads in production.

  • Client-facing delivery experience – Demonstrated ability to work directly with external clients or partners in a technical delivery capacity. You can explain complex systems to both engineers and non-technical stakeholders, and you are comfortable owning outcomes.

  • Project delivery mindset – Experience delivering technical projects end-to-end. You understand what it takes to move from design to production—not just the happy path, but the edge cases, rollback plans, and operability concerns.

Desirable

  • Banking / Financial Services experience – Familiarity with retail banking, payments, ledgers, or regulatory environments. Understanding of the operational rigour expected in FSI.

  • Cloud architecture certifications – AWS Solutions Architect, GCP Professional Cloud Architect, Azure Solutions Architect Expert, or equivalent.

Benefits

  • Highly competitive salary

  • Bonus incentive

  • Healthcare

  • 25 days holiday and public holidays

  • Competitive maternity and paternity leave

  • $1,500 SGD per year flexible spend benefit

  • All the latest tech you need

  • A talented and experienced team as your colleagues

  • An environment where we encourage learning and progress

We actively hire candidates who demonstrate technical excellence in their field and welcome people of all ages and backgrounds, providing everyone with equal access to professional development. You are encouraged to apply even if your experience doesn't accurately match the job description. We also encourage applications from those with different abilities, including candidates with ADHD, autism, dyslexia or dyspraxia.

How we rate this

Forward Deployed Engineer at Thought Machine rates 0 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Software EngineeringBackendSystems IntegrationInfrastructureConsultingVault

Also common in forward deployed engineer jobs at this level

Pay

Typical forward deployed engineer job
$180k

This posting doesn't list pay. Use the typical forward deployed engineer figure when pay comes up. See forward deployed engineer jobs

Questions you could be asked

  1. Tell me about a project where software engineering was part of your work. What did you do?
  2. Tell me about a project where backend was part of your work. What did you do?
  3. Tell me about a project where systems integration was part of your work. What did you do?
  4. Tell me about a project where infrastructure was part of your work. What did you do?
  5. Tell me about a project where consulting was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: Software Engineering, Backend, Systems Integration, Infrastructure, and Consulting. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.

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