Infrastructure Engineer, Thought Machine

Salary not provided

Plus commission

AWS

Docker

Kubernetes

GCP

Python

Kafka

Postgres

Jenkins

Azure

Prometheus

Grafana

Golang

Mid and Senior level

London

3+ days a week in office

Cloud native banking platform

Be an early applicant

Cloud native banking platform

501-1000 employees

FintechB2BBankingPaymentsDeep TechFinancial ServicesSaaSCloud Computing

Be an early applicant

Salary not provided

Plus commission

AWS

Docker

Kubernetes

GCP

Python

Kafka

Postgres

Jenkins

Azure

Prometheus

Grafana

Golang

Mid and Senior level

London

3+ days a week in office

501-1000 employees

FintechB2BBankingPaymentsDeep TechFinancial ServicesSaaSCloud Computing

Company mission

Thought Machine's mission is to build the new foundations for banking. They want to cure one of the banking industry's primary problems: its reliance on outdated IT infrastructure. Nearly every bank is still stuck on a legacy IT platform.

Job

Company

Role

Who you are

A degree in Computer Science, Engineering or a similar technical field
3-5 years of hands-on experience
Experience developing production-ready infrastructure management tooling with either Python or Golang
Familiarity with at least one of the following:
Observability Tools (e.g. Prometheus, OpenTelemetry, Grafana)
Databases (e.g. Postgres, DuckDB)
Event Streaming platforms (e.g. Kafka)
Container Orchestration (e.g. Docker, Kubernetes)
Familiarity with cloud platforms such as AWS, Azure or GCP
Experience with CI/CD systems (e.g. Jenkins, CircleCI, GitLab, GitHub Actions)
You are encouraged to apply even if your experience doesn't accurately match the job description

Desirable

Experience supporting production systems in high-consistency transactional environments

What the job involves

At Thought Machine, our 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
The role spans across building mechanisms to automate and streamline deployment processes, to facilitating infrastructure changes in the data and streaming platforms which support our products, among other things
We build automation to provide an intuitive and reliable user experience to operate and integrate with Vault for Thought Machine engineers and bank SREs
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
Develop observability and orchestration tooling to allow our customers to monitor and manage their deployments
Contribute to disaster recovery, backup and redundancy tooling and strategy
Assist in improving the quality of our codebase by building new tools and processes

Salary benchmarks

Our take

Most traditional banks are stuck on legacy technology. The world's biggest banks today have been around for hundreds of years and their systems reflect this. Their tech systems were built in the mid-20th century and changes/improvements have been layered on top since then.

This infrastructure is creaking in a lot of these institutions, so they need a radical overhaul if they're going to compete with challenger banks like Monzo, N26 and Starling, that have built their banks on modern technology from the ground up.

Thought Machine's customers are primarily in Europe and Asia, and include legacy outfits like Standard Chartered, Lloyds Banking Group, and Sweden’s SEB, but they are also working with challenger banks like Atom Bank. Traditional banks will need to innovate to hold on to their market share, and will need the latest technology to do it, providing a big opportunity for Thought Machine.

The company has raised more than $500m in funding and are now valued at $2.7bn, which is being used to support the transformation of the retail banking market with cloud native technology, solving bank reliance on legacy IT. Thought Machine were named AltFi's B2B Fintech of the Year, placed in the FinTech50, and in the IDC list of top 100 Fintechs.

Kirsty

Company Specialist at Welcome to the Jungle

Insights

Top investors

25% female employees

22% employee growth in 12 months

Glassdoor (4.1)

Company

Funding (last 2 of 8 rounds)

Oct 2025

$59.5m

LATE VC

May 2022

$160m

SERIES D

Total funding: $619.2m

Company benefits

Life Insurance- 3 times annual salary
Competitive Maternity and Paternity leave
Shared parental leave
Cycle to work scheme
Pension (match up to 5%)
25 days holiday (excl. bank holidays) + 2 days Charity Leave

Company HQ

Bloomsbury, London, UK

Articles

Lloyds to cut costs with Thought Machine platform move

Thought Machine raises $200m in Series C funding to bring world’s banks to the cloud

Former HSBC Group COO joins Thought Machine as new Chairperson

Monese adopts Thought Machine’s Vault to reach millions more customers

We are Thought Machine Video

Leadership

Paul Taylor

(CEO)

Founder of Phonetic Arts (speech technology in gaming) until it was acquired by Google 4 years later. Then worked for Google as a Technical Lead for 3 years

People progressing

Jamica

Joined as Back End Software Engineer and became a Tech Lead Manager after 1 year 4 months and is now an Engineering Director.

Diversity, Equity & Inclusion at Thought Machine

Natalie Brock (Chief of Staff - People)

Diversity is an integral part of life at Thought Machine. We want to create a work environment where employees enjoy showing up to work authentically as their best self.
We celebrate our differences with culture events and internal community networks such as the women’s group, OUT our LGBTQ+ group and Belong, which celebrates different ethnicities
In terms of nationality, Thought Machine has 450 staff and over 45 different nationalities across three offices.
Although we are above the UK’s average of women in fintech, we have got work to do.
To help us achieve greater parity we have introduced a number of measures and initiatives, including coaching and training.

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