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About the Role
Thought Machine's Senior Software Engineers specializing in Infrastructure are crucial for deploying and maintaining cutting-edge software. They develop tools and integrations with third-party infrastructure components, abstracting multi-cloud complexity and reducing cognitive load for other developers. The team focuses on platform infrastructure, including orchestration, observability, and data, treating it as a first-class product to enable secure and reliable operation at massive scale.
Responsibilities
- Scale the Core Platform: Evolve, scale, and optimize the cloud-agnostic platform infrastructure powering Vault globally.
- Simplify Orchestration: Build intuitive control planes and automation to abstract infrastructure complexity, easing cognitive load for engineers and SREs.
- Design for Resiliency: Engineer robust, fault-tolerant architectures and Disaster Recovery / Business Continuity Planning (DR/BCP) systems.
- Advance Observability: Enhance observability suites for deep, out-of-the-box monitoring and insights.
- Optimise Data & Streaming: Scale and optimize core databases and event-streaming platforms for maximum performance and scalability at the lowest cost.
Requirements
- Degree in Computer Science, Engineering, or a similar technical field.
- 5+ years of hands-on software engineering experience building and scaling infrastructure platforms.
- 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.
- 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 a professional environment.
Skills
- Python
- Golang
- Kubernetes
- Docker
- Prometheus
- OpenTelemetry
- Grafana
- AWS
- Azure
- GCP
- Kafka
- Postgres
- DuckDB
Location
- London
- New York
- Singapore
- Sydney
- Lisbon
Work Type
- Full-time
Experience Level
- Senior
- 5+ years
Education Level
- Degree in Computer Science, Engineering, or a similar technical field.
Salary/Compensations
- Highly competitive salary and commission
Benefits
- 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
- 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
- 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
About the Company
- Thought Machine's mission is to properly and permanently rid the world's banks of legacy technology by developing modern core and payments technology that runs natively in the cloud.
- The company has grown rapidly, employing over 550 individuals across offices in London, New York, Singapore, Sydney, and Lisbon.
- Thought Machine has raised over £500m in funding from investors including Molten Ventures, Eurazeo, Intesa Sanpaolo, Temasek, Nyca Partners, JPMorgan Chase Strategic Investments, and Standard Chartered Ventures.
- The company has a strong workplace culture, recognized for its high Glassdoor ratings and generous employee share package.
- Thought Machine has been named one of the world's most innovative fintechs by Global Finance Magazine and one of Europe's fastest-growing companies by the Financial Times.
Equal Opportunity
- 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.