Startup Hiring Index · threadangellabs
Thought Machine › Engineering

Senior Infrastructure Engineer

Thought Machine · United Kingdom, London · Remote

Pay
Not listed
This company didn't publish a range
Posted
Sep 15, 2026
Tracked open for 42 days
Team
Engineering
Full-time
Thought Machine hiring
39 open roles
30 in engineering
PythonKubernetes
Apply on Thought Machine's site → Alert me about roles like this

Typical infrastructure engineer pay at startups: $213K median, middle half $185K–$256K (207 posted ranges).

Across all startups we track: $170K–$242K for engineering roles (8,046 listed ranges).

About the role

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.

From Thought Machine's careers page. First seen Sep 15, 2026, last verified Oct 26, 2026.

Thought Machine hiring momentum

Open roles: 39, down 1 (-2%) over the last 4 days.

Oct 22, 2026 · 40Oct 26, 2026 · 39

More engineering roles at Thought Machine

Thought Machine · Portugal, Lisbon · Engineering · 14d ago
Apply →
Thought Machine · Portugal, Lisbon · Engineering · 14d ago
Apply →
Thought Machine · Portugal, Lisbon · Engineering · 14d ago
Apply →
Thought Machine · United Kingdom, London · Engineering · 25d ago
Apply →
Thought Machine · Singapore · Engineering · 26d ago
Apply →
Thought Machine · United States, New York, New York City · Engineering · 27d ago
$140K–$220K Apply →

All 30 Thought Machine engineering jobs →

Similar roles at other startups

Temporal · United States (Remote) · Engineering · today
$118K–$194K Apply →
Neuralink · Austin, Texas, United States; South San Francisco, California, United States · Engineering · today
$123K–$216K Apply →
Astranis · San Francisco · Engineering · today
$130K–$165K Apply →
Celonis · Tokyo, Japan · Engineering · today
Apply →
Smartsheet · Bangalore, INDIA · Engineering · today
Apply →
Wayve · Sunnyvale, California USA · Engineering · today
$348K–$403K Apply →

Browse engineering jobs →