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.
This is a full-time, permanent position based in our Lisbon office, requiring Three days a week onsite.
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.
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)
Desirable
Experience supporting production systems in high-consistency transactional environments
Benefits
Highly competitive salary
Voluntary Pension Plan (match up to 5%)
Private Healthcare Insurance
Comprehensive Life Insurance
25 days holiday plus public holidays
Two charity days a year
Daily Meal Allowance
Access to outstanding learning materials and courses
Sports and hobby clubs, subsidised by Thought Machine
All the latest tech you need
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
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.