Software Engineer (Infrastructure)

Thought Machine; Lisboa; Presencial; EUR 65 000 - 95 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Pension plan

Private healthcare

Life insurance

25 days holiday

Charity days

Resumo da oferta

Thought Machine in Lisbon is seeking a Senior Software Engineer focused on Infrastructure to build automation, tooling and integrations with cloud and on‑prem components. You will design scalable deployment tooling, contribute to observability, disaster recovery, and ensure reliable operations for our data and streaming platforms and Vault integrations.

The role requires 3–5 years hands‑on experience, a CS degree, and familiarity with Python or Go, Kubernetes, Kafka and cloud platforms; four

Qualificações

• Degree in Computer Science, Engineering or a similar technical field.
• 3–5 years of hands-on experience in infrastructure tooling and development.
• Experience building production-ready tooling in Python or Go.
• Familiarity with observability tools, DBs, event streaming (Kafka) and container orchestration (Docker/Kubernetes).
• Cloud platforms (AWS, Azure or GCP) and CI/CD systems (Jenkins, CircleCI, GitLab, GitHub Actions).

Responsabilidades

• Support the engineering team in building reliable, scalable applications.
• Design and build tools to automate and streamline deployment, increasing availability.
• Develop observability and orchestration tooling for customers to monitor deployments.
• Contribute to disaster recovery, backup and redundancy tooling and strategy.

Conhecimentos

Python

Golang

Observability

PostgreSQL

Kafka

Docker

Kubernetes

AWS/Azure/GCP

CI/CD

Formação académica

Degree in Computer Science or related field

Ferramentas

Prometheus

OpenTelemetry

Grafana

PostgreSQL

DuckDB

Kafka

Docker

Kubernetes

AWS

Azure

GCP

Jenkins

CircleCI

GitHub Actions

Descrição da oferta de emprego

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.

This is a full-time, permanent position based in our Lisbon office, requiring four days a week onsite.

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. 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.

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
• 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

  Essential

  • 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)

  Desirable

  • Experience supporting production systems in high‑consistency transactional environments

  Benefits

  • Highly competitive salary
  • Voluntary Pension Plan (match up to 5%)
  • Private Healthcare Insurance
  • Comprehensive Life Insurance
  • 25 days holiday plus public holidays
  • Two charity days a year
  • Daily Meal Allowance
  • Access to outstanding learning materials and courses
  • Sports and hobby clubs, subsidised by Thought Machine
  • All the latest tech you need
  • 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

  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.