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Thought Machine

Cloud-based core banking and payments platform

Forward Deployed Engineer

Implementation & Technical Account ManagementConfirmed live in the last 24 hours
Full-timeSingaporeNo salary listed

About the Job

Requirements

  • Strong hands-on experience with Python or Go and the ability to work with ambiguous requirements to iterate quickly on client ideas.
  • Working knowledge of Linux/Unix environments, Kubernetes, databases such as PostgreSQL, and messaging systems such as Kafka.
  • Practical experience with at least one major cloud provider (AWS, GCP, or Azure), including deploying and operating production workloads.
  • Demonstrated ability to work directly with external clients or partners in a technical delivery capacity, explain complex systems to engineers and non-technical stakeholders, and own outcomes.
  • Experience delivering technical projects end-to-end, including moving from design to production and handling edge cases, rollback plans, and operability concerns.

Responsibilities

  • 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 assigned client engagements and be accountable for solutions that work in practice, not only in architecture documents.
  • Work with client architects, engineers, and programme leads to translate business requirements into technical delivery plans.
  • Act as the technical point of contact for clients and build trust through technical competence and consistent delivery.
  • Write production-quality code, primarily in Python or Go, to build integrations, tooling, data pipelines, and extensions; contribute to core products that connect Vault to client ecosystems.
  • 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 FDE engagements.
  • Support the Commercial team during presales by answering technical questions, running proof-of-concept implementations, and demonstrating feasibility.
  • Advise clients on Vault implementation best practices, including system design beyond Vault's boundaries.
  • Channel client technical feedback, pain points, and feature requests to product and engineering teams.
  • Identify patterns across engagements that can inform product improvements, documentation, or shared tooling.
  • Travel to client sites up to 25% of the time.

Desired Qualifications

  • Familiarity with retail banking, payments, ledgers, or regulatory environments, including understanding the operational rigour expected in financial services.
  • AWS Solutions Architect, GCP Professional Cloud Architect, Azure Solutions Architect Expert, or equivalent cloud architecture certification.

About the Company

Thought Machine

Cloud-based core banking and payments platform

ThoughtMachine provides a cloud-based platform for banks to design and run financial products and payment systems using Vault Core and Vault Payments. Vault Core is a cloud-native, API-first core banking system that banks can host with their chosen provider, backed by a library of over 200 preconfigured products and options to customize offerings. Vault Payments handles all payment types, methods, schemes, and regions and connects to the core products, with an API-first design and pre-integrated solutions and smart contracts to speed launches. The company differentiates itself by building all software from scratch for cloud use (not relying on legacy or on-premises code) and charging banks for access to its platform and services, aiming to give banks flexible, scalable tools to create, deploy, and control their own financial products and payment schemes.

Company size
501-1,000
Company stage
Series E
Total funding
$658.7M
Headquarters
London, United Kingdom
Founded
2014

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