At a Glance
- Tasks: Scale and optimise cloud-agnostic infrastructure for modern banking solutions.
- Company: Join a leading fintech revolutionising banking technology with a fun, collaborative culture.
- Benefits: Competitive salary, flexible hours, generous leave, and access to top learning resources.
- Other info: Diverse team environment encouraging growth and applications from all backgrounds.
- Why this job: Make a real impact in the fintech space while working with cutting-edge technology.
- Qualifications: 5+ years in software engineering, strong Python or Golang skills, and cloud infrastructure knowledge.
The predicted salary is between 75600 - 92400 £ per year.
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 a professional environment.
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.
Senior Infrastructure Engineer in London employer: Thought Machine
Thought Machine is an exceptional employer, renowned for its vibrant workplace culture and commitment to employee growth. With a highly competitive salary, generous benefits including extensive parental leave, and a focus on learning and development, employees thrive in an environment that values innovation and collaboration. The newly established Engineering Hub in Lisbon offers unique opportunities to be part of a fast-growing fintech company that is reshaping the banking industry.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Infrastructure Engineer in London
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Thought Machine or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Thought Machine.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Thought Machine.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Thought Machine that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace Senior Infrastructure Engineer in London
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Thought Machine.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Thought Machine and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Thought Machine
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Thought Machine uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.