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Thought Machine

Forward Deployed Engineer - Infrastructure

Thought Machine is hiring a Forward Deployed Engineer - Infrastructure for a remote role open to applicants in United States. It pays $140k-$220k a year and Level rates it ; you can apply on Thought Machine.

Level's read on this job

  • Level rates this forward deployed engineer role Little AI ●○○○: aI is not part of the work.
  • The posting lists this role as remote.
  • Tools and skills the posting cites include Vault, Kubernetes and Cloud Infrastructure.
  • Level classifies it as a mid-level role.
  • Level lists 32 other open roles at Thought Machine.

AI in this role

Embed with client engineering teams to design, build, and deliver cloud-native banking and payments technology implementations.

vaultkubernetescloud-infrastructure
software-engineeringcloud-nativeclient-facinginfrastructure

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.

 

The Forward Deployed Engineer is Thought Machine's primary technical interface with the client as an extension to the product. FDEs embed directly with the client’s engineering teams to design, build, and deliver production-ready implementations of Vault and associated products.

 

You will be responsible for enabling and supporting our clients to deliver a best in class cloud native implementation of Thought Machine Vault products on client or Thought Machine hosted infrastructure, from presales to production at scale. You will be expected to work on Vault deployments end-to-end, from engineering at the business logic to supporting clients in their cloud infrastructure preparation, deployment, optimisation and troubleshooting.

 

For this role, we are looking for candidates with tangible infrastructure experience to work with clients on their infrastructure deployments and to act as an extension of our internal SRE teams.

 

FDEs operate across the full project lifecycle ensuring requirements are implemented, tested and work to improve the product based on client feedback. You will be expected to travel to client sites (up to 25% of your time), work autonomously in complex environments, and act as the connective tissue between Thought Machine's product engineering and the client's delivery teams.

 

Duties

  • Hands on cloud infrastructure consulting both on client site and remote

  • Working with customers and external partners to design and prepare suitable cloud infrastructure to ensure Thought Machine Vault products can be tested and run successfully at scale. Includes planning for high availability, disaster recovery, backup, redundancy, capacity and security.

  • Deploying and configuring Thought Machine Vault products on client, SaaS and internal cloud infrastructure

  • Developing deep understanding of and advising clients on optimisation of cloud infrastructure for overarching implementation of Vault, including advising on systems outside of Vault to empower holistic digital transformation in collaboration with Thought Machine Client Architects

  • Supporting and troubleshooting client, SaaS and internal cloud infrastructure both remotely and on site, including by promoting and deploying suitable monitoring, logging and alerting tools

  • Working closely with internal product and engineering teams to ensure client feedback is incorporated into improvements to the product and platform

  • Supporting the Thought Machine Commercial Team and Cloud Provider Partners in answering infrastructure queries and challenges in the presales cycle

Requirements

Essential

  • Ability to explain technical concepts to technical and non-technical stakeholders.

  • Hands on experience of some or all of the following:

    • Linux/Unix administration, e.g. Ubuntu, Debian

    • Kafka

    • PostgreSQL

    • Kubernetes

    • Istio

  • Experience with automation/configuration management, e.g. Terraform, Puppet, Chef, Ansible

  • Experience with AWS or GCP

Desirable

  • Experience with at least two and associated certifications for at least one of the following:

    • AWS (ideally certified Solutions Architect Professional)

    • GCP (ideally certified Professional Cloud Architect)

    • Azure (ideally certified Solutions Architect Expert)

  • Experience of enterprise secrets management systems, e.g. HashiCorp Vault, AWS secrets manager

  • Experience in supporting production systems for high profile, mission critical systems, ideally for a tier 1 financial institution.

  • Experience with hybrid cloud technologies including OpenShift, Google Anthos, AWS EKS Anywhere, AWS Outposts

  • A strong background in Go, Python or Java

  • Experience with CockroachDB, AlloyDB, Aurora

  • Experience with observability tools, e.g. Prometheus, Grafana

Benefits Benefits:

  • Highly competitive salary

  • Healthcare, vision and dental

  • 25 days holiday

  • Unlimited paid safe and sick time

  • 401K matching (up to 7%)

  • $750 per year flexible spend benefit

  • Share options

  • Commuter Pass

  • Flexible Spending Account (FSA)

  • Life and long-term disability insurance

  • All the latest tech you need

  • A talented and experienced team as your colleagues

  • An environment where we encourage learning and progress

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.

How we rate this

Forward Deployed Engineer - Infrastructure at Thought Machine rates 10 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Software EngineeringCloud NativeClient FacingInfrastructureVaultKubernetesCloud Infrastructure

Also common in forward deployed engineer jobs at this level

Pay

This job starts at
$140k
Typical forward deployed engineer job
$180k

This posting starts 22% below the typical forward deployed engineer job. See forward deployed engineer jobs

Questions you could be asked

  1. Tell me about a project where software engineering was part of your work. What did you do?
  2. Tell me about a project where cloud native was part of your work. What did you do?
  3. Tell me about a project where client facing was part of your work. What did you do?
  4. Tell me about a project where infrastructure was part of your work. What did you do?
  5. Walk me through how you've used Vault in your day-to-day work.

Adapt your resume

  • List these exact terms on your resume: Software Engineering, Cloud Native, Client Facing, Infrastructure, and Vault. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.

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