Senior Software Engineer; Infrastructure

Overview

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. We have grown rapidly to more than 550 individuals across offices in London, New York, Singapore and Sydney. We have raised more than $500m in funding and are valued at $2.7bn.

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 for high Glassdoor ratings among UK fintechs and for the industry’s most generous employee share package. Global Finance Magazine named us one of the world’s most innovative fintechs, and the Financial Times recognised us as one of Europe’s fastest-growing companies in 2023 and 2024.

At Thought Machine, our Senior 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 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.

• 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

• A degree in Computer Science, Engineering or a similar technical field
• 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, Open Telemetry, 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, Circle
  
  CI, Git Lab, Git Hub Actions)

• Experience supporting production systems in high-consistency transactional environments

• 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 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.