At a Glance
- Tasks: Design and develop scalable microservices while ensuring high code quality.
- Company: Join Thought Machine, a leading fintech revolutionising banking technology with a fun workplace culture.
- Benefits: Enjoy competitive salary, flexible hours, generous leave, and access to learning resources.
- Why this job: Be part of a fast-growing team making a real impact in the banking industry.
- Qualifications: Experience with Python or Golang and automated testing is essential; banking knowledge is a plus.
- Other info: Work with cutting-edge tech and enjoy a vibrant team atmosphere.
The predicted salary is between 36000 - 60000 £ per year.
United Kingdom of Great Britain and Northern Ireland
Division
Description
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 and built core and payments technology which runs natively in the cloud. We are seeking talented individuals to join us in building innovative technology.
We have grown rapidly in recent years, expanding our team to over 500 employees across London, New York, Singapore, and Sydney. We have raised over $500m in funding and are valued at $2.7bn. Our investors include Molten Ventures, Eurazeo, Intesa Sanpaolo, Temasek, Nyca Partners, JPMorgan Chase, Standard Chartered, and others.
Our culture fosters excellence and fun, earning recognition as a top UK fintech workplace with high Glassdoor ratings, a generous employee share scheme, and awards such as AltFi\’s B2B Fintech of the Year, inclusion in the FinTech50, and recognition as one of Europe’s fastest-growing companies by the Financial Times in 2023.
Back End Engineering is crucial at Thought Machine, leading the development of our Vault product. We value excellence, adopting best practices like continuous deployment and monorepo development.
While our development pace is fast, we expect high standards of code quality and production readiness from our engineers.
DUTIES
- Design, implement, and develop scalable, high-performance microservices following best practices.
- Collaborate with other engineering teams to ensure structured and coherent feature development.
- Manage and debug deployments from testing to production environments.
- Translate customer requirements into actionable tickets.
Requirements
- Experience with Python or Golang.
- Experience in developing automated tests as part of the development process.
- Interest in client-facing projects, including scoping and defining deliverables.
- Knowledge of banking and finance sectors.
- Experience with AWS or other cloud platforms.
- Familiarity with SQL or NoSQL databases.
- Understanding of client/server architectures, microservices, and networking.
- Experience with orchestration tools like Kubernetes or Mesos.
We offer a highly competitive salary, pension (up to 5%), life insurance (up to three times salary), extensive parental leave, 25 days holiday plus bank holidays, and various benefits including tech, health, and wellness initiatives. Join our talented team in an environment that encourages learning and growth.
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Backend Software Engineer employer: Thought Machine
Contact Detail:
Thought Machine Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Backend Software Engineer
✨Tip Number 1
Familiarise yourself with Thought Machine's Vault product and its core functionalities. Understanding how their technology works will not only help you in interviews but also demonstrate your genuine interest in the company and its mission.
✨Tip Number 2
Brush up on your skills in Python or Golang, as these are essential for the role. Consider working on personal projects or contributing to open-source projects that utilise these languages to showcase your practical experience.
✨Tip Number 3
Network with current or former employees of Thought Machine through platforms like LinkedIn. Engaging with them can provide valuable insights into the company culture and the specific expectations for the Backend Software Engineer role.
✨Tip Number 4
Prepare to discuss your experience with automated testing and microservices architecture during the interview. Be ready to share examples of how you've implemented these practices in previous roles, as they are crucial for success at Thought Machine.
We think you need these skills to ace Backend Software Engineer
Some tips for your application 🫡
Understand the Company: Before applying, take some time to understand Thought Machine's mission and values. Familiarise yourself with their products, especially the Vault product, and how they aim to revolutionise banking technology.
Tailor Your CV: Make sure your CV highlights relevant experience, particularly with Python or Golang, and any work you've done with automated testing. Emphasise your familiarity with cloud services like AWS and any experience with microservices or orchestration tools.
Craft a Strong Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention specific projects or experiences that align with the job description, such as developing scalable microservices or working on client-facing projects.
Showcase Your Problem-Solving Skills: In your application, provide examples of how you've managed and debugged deployments in previous roles. Highlight your ability to translate customer requirements into actionable tasks, as this is crucial for the position.
How to prepare for a job interview at Thought Machine
✨Showcase Your Technical Skills
Make sure to highlight your experience with Python or Golang during the interview. Be prepared to discuss specific projects where you developed scalable microservices and automated tests, as this aligns closely with the role's requirements.
✨Understand the Company Culture
Research Thought Machine's workplace culture and values. They pride themselves on a fun and collaborative environment, so demonstrating your ability to work well in a team and your enthusiasm for their mission can set you apart.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills and how you manage deployments from testing to production. Think of examples from your past experiences where you successfully navigated challenges in these areas.
✨Familiarise Yourself with Cloud Technologies
Since the role involves working with cloud technologies like AWS, brush up on your knowledge of cloud services and orchestration tools such as Kubernetes. Being able to discuss your familiarity with these technologies will demonstrate your readiness for the position.