Software Engineer, Thought Machine

• 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

• 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