Senior Software Engineer (Infrastructure)

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. 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. Our team's mission is to abstract away multi-cloud complexity and reduce cognitive load for other developers. We treat our platform infrastructure which spans, orchestration, observability, and data. As a first-class product, enabling our internal teams and global clients to operate securely and reliably at massive scale. Duties - Scale the Core Platform: Evolve, scale, and optimise the cloud-agnostic platform infrastructure powering Vault globally. - Simplify Orchestration: Build intuitive control planes and automation to further abstract away infrastructure complexity, significantly easing the cognitive load for Thought Machine engineers and bank SREs. - Design for Resiliency: Engineer robust, fault-tolerant architectures and Disaster Recovery / Business Continuity Planning (DR/BCP) systems. - Advance Observability: Enhance our comprehensive observability suites that are shared across the entire Thought Machine product ecosystem, providing clients with deep, out-of-the-box monitoring and insights - Optimise Data & Streaming: Scale and optimise core databases and event-streaming platforms to achieve maximum performance and scalability at the lowest cost   Essential - Degree in Computer Science, Engineering, or a similar technical field. - 5+ years of hands-on software engineering experience building and scaling infrastructure platforms (not just maintaining them). - Strong proficiency in building production-ready platform tooling using Python or Golang. - Deep understanding of container and orchestration internals (e.g., Kubernetes, Docker). - Hands-on experience extending and integrating open-source tools like Prometheus, OpenTelemetry, and Grafana. - Proven ability to package and scale developer-facing infrastructure utilities with a focus on improving system reliability.   Desirable - Experience building cloud-agnostic solutions running across AWS, Azure, and GCP. - Technical depth in databases or event-streaming platforms (e.g., Kafka, Postgres, DuckDB). - A deep interest in the internals of infrastructure tools, with a track record of troubleshooting, extending, or optimizing them within