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Infrastructure Engineer

Thought Machine

London

On-site

GBP 60,000 - 85,000

Full time

Yesterday
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Job summary

Thought Machine is seeking an Infrastructure Engineer to enhance their cloud banking solutions. The ideal candidate will aid in deploying and maintaining advanced software while collaborating on tools and processes to ensure scalability and reliability. Join a rapidly growing team dedicated to innovation in fintech.

Benefits

Highly competitive salary
Pension plan (match up to 5%)
Life insurance - three times annual salary
Competitive maternity and paternity leave
25 days holiday and bank holidays
Flexible working hours
Cycle-to-work scheme
Access to outstanding learning materials and courses
Sports and hobby clubs, subsidised

Qualifications

  • Degree in Computer Science, Engineering or similar required.
  • 3-5 years hands-on experience preferred.
  • Experience with Python or Golang essential.

Responsibilities

  • Support the engineering team in building reliable, scalable applications.
  • Help design and build tools for scalability and availability.
  • Contribute to disaster recovery and redundancy activities.

Skills

Python
Golang
Databases
Observability tools
Infrastructure automation
Cloud platforms (AWS, GCP)
Container tools (Docker, Kubernetes)
CI/CD systems

Education

Degree in Computer Science, Engineering or similar technical field

Tools

Terraform

Job description

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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 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 and Sydney. We have raised more than $500m in funding and are now 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 enabling our team to produce the best work in the industry, 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 most generous employee share package in the industry. 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.
At Thought Machine, our Infrastructure Engineers play a crucial role in deploying and maintaining our cutting-edge software, developing tools and integration with product to be used for production environments. The role spans across building tools for self-hosted clients and product integration to automate and streamline deployment processes, to working on the infrastructure slice of the product in our data and streaming platforms among other things. We build tools to provide an intuitive and reliable user experience to operate and integrate with Vault for Thought Machine engineers and bank SREs.
Duties

  • 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.

  • Collaborate on monitoring and managing our fleet of deployments by developing and deploying observability and orchestration tooling.

  • Contribute to disaster recovery, backup and redundancy activities.

  • Assist in improving the quality of our codebase by building new tools and processes.

Requirements
Essential
  • A degree in Computer Science, Engineering or a similar technical field.

  • 3-5 years of hands-on experience.

  • Experience with either Python or Golang.

  • A curiosity about areas like databases, observability tools (e.g., Prometheus, OpenTelemetry, Grafana) or infrastructure automation.

  • Familiarity with cloud platforms such as AWS or GCP (or the willingness to learn!).

  • A understanding of container tools (e.g., Docker, Kubernetes).

  • Experience with CI/CD systems (e.g. Jenkins, CircleCI, GitLab, GitHub Actions).

Desirable
  • Exposure to production systems.

  • Experience with Infrastructure as a code such as Terraform.

Benefits
  • Highly competitive salary
  • Pension plan (match up to 5%)
  • Life insurance - three times 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
Thought Machine is committed to making a measurable positive impact on people's everyday lives. We are an equal-opportunity employer and value diversity at our company.
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.

Seniority level
  • Seniority level
    Mid-Senior level
Employment type
  • Employment type
    Full-time
Job function
  • Job function
    Information Technology
  • Industries
    Software Development

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