Thought Machine
Software Engineer (Infrastructure)

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Thought Machine's Mission
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.
Company Overview
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.
Role Overview
At Thought Machine, our Software Engineers specialised in Infrastructure play a crucial role in deploying and maintaining our cutting-edge software, developing tools and integrations with third-party infrastructure components used in our customers’ environments. The role spans across building mechanisms to automate and streamline deployment processes, to facilitating infrastructure changes in the data and streaming platforms which support our products, among other things. We build automation to provide an intuitive and reliable user experience to operate and integrate with Vault for Thought Machine engineers and bank SREs.
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
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Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
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Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
Duties
- Support the engineering team in building reliable, scalable applications
- Help design and build tools to make our services scalable and highly available, automating wherever possible
- Develop observability and orchestration tooling to allow our customers to monitor and manage their deployments
- Contribute to disaster recovery, backup, and redundancy tooling and strategy
- Assist in improving the quality of our codebase by building new tools and processes
Essential
- A degree in Computer Science, Engineering, or a similar technical field
- 3-5 years of hands-on experience
- Experience developing production-ready infrastructure management tooling with either Python or Golang
- Familiarity with at least one of the following:
- Observability Tools (e.g., Prometheus, OpenTelemetry, Grafana)
- Databases (e.g., Postgres, DuckDB)
- Event Streaming platforms (e.g., Kafka)
- Container Orchestration (e.g., Docker, Kubernetes)
- Familiarity with cloud platforms such as AWS, Azure, or GCP
- Experience with CI/CD systems (e.g., Jenkins, CircleCI, GitLab, GitHub Actions)


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Desirable
- Experience supporting production systems in high-consistency transactional environments
Benefits
- Highly competitive salary and commission
- Pension plan (match up to 5%)
- Life insurance (3x 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
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.
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