Requirements

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.

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.

What You'll Be Doing

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.

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.

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.

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.

Highly competitive salary
Pension plan (match up to 5%)
Life insurance - three times annual salary
Competitive maternity (six months fully paid) and paternity leave (four weeks fully paid)
Shared parental leave (matched to our maternity leave for the same point in time)
25 days holiday and bank holidays
Flexible working hours
Cycle-to-work scheme
Electric car scheme
Season ticket loan
Access to outstanding learning materials and courses
Sports and hobby clubs, subsidised by Thought Machine
All the latest tech you need
Start the day properly with fresh fruit and cereals
Huge range of healthy (and not-so-healthy) snacks, smoothies and drinks
A talented and experienced team as your colleagues
An environment where we encourage learning and progress
Two charity days a year
Weekly food pop-up