Thought Machine Tech Stack

Cloud-native core banking platform replacing legacy mainframe infrastructure

Software Development London, England 501–1,000 employees Founded 2014 Privately Held

Thought Machine builds Vault, a microservices-based core banking system designed to replace monolithic legacy platforms. The stack is modern—Kubernetes, Go, Python, Kafka, PostgreSQL—with heavy observability instrumentation (Prometheus, OpenTelemetry, Grafana), indicating mature operational rigor. Engineering dominance in hiring (17 of 38 open roles) paired with active projects around platform stability, observability, and cloud infrastructure reflects a company scaling both product depth and operational resilience as it moves larger banks off 40-year-old mainframe technology.

Tech Stack 27 technologies

Core StackAWS Kubernetes Docker Apache Kafka Kafka Go Python Prometheus OpenTelemetry Grafana PostgreSQL Jenkins CircleCI GitLab GitHub Actions Workday Vault GCP Azure DuckDB Mesos UNIX Git OWASP SQL NoSQL Smart Contracts

What Thought Machine Is Building

◆Challenges

Legacy technology
Modernising core systems
Legacy and siloed payment systems
Removing legacy systems
Legacy bank-in-a-box platforms
Reducing incident resolution time
Cloud infrastructure provisioning
Alignment gaps and overhead
Meeting contracted account volumes
Delivery risk mitigation

▲Active Projects

Vault product
Vault solution workshops
Lead generation campaigns for vault payments
Next phase of vault payments evolution
Key use cases for vault payments
Vault expansion portfolio
Support delivery automation
Platform stability improvement
Observability tooling
Cloud infrastructure provisioning

Hiring Activity

Accelerating40 roles · 20 in 30d

Department

Engineering

Sales

Product

Finance

Marketing

Security

Support

Executive

Seniority

Senior

Mid

Director

Manager

Junior

Intern

Lead

Notable leadership hires: Client Success Director, Finance Director

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About Thought Machine

Thought Machine operates a cloud-native core banking and payments platform serving mid-to-large financial institutions. Founded in 2014 and headquartered in London, the company employs 501–1,000 people across engineering, sales, product, and support functions. Vault is built on microservices and APIs—not configuration-driven "bank-in-a-box" templates—which positions it for greenfield deployments and migrations. Current project focus spans Vault Payments expansion, lead generation campaigns, support delivery automation, and incident resolution velocity, indicating active growth in both product surface area and operational maturity.

HeadquartersLondon, England

Company Size501–1,000 employees

Founded2014

Hiring MarketsUnited Kingdom, Singapore, Thailand, Indonesia, United States

Frequently Asked Questions

What tech stack does Thought Machine use?

Vault runs on Kubernetes and Docker across AWS, GCP, and Azure. Core services are written in Go and Python, with PostgreSQL and DuckDB for data, Apache Kafka for streaming, and Prometheus/OpenTelemetry/Grafana for observability. CI/CD runs on Jenkins, CircleCI, and GitHub Actions.

Is Thought Machine hiring engineers?

Yes. 17 of 38 active roles are engineering positions, with hiring accelerating. Open roles span senior, mid-level, and junior levels across the UK, Singapore, Thailand, Indonesia, and the US.

What is Thought Machine working on?

Primary focus is expanding Vault Payments (lead generation, next-phase evolution, use-case validation), improving platform stability and observability tooling, automating support delivery, and enhancing cloud infrastructure provisioning.