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Senior Backend Engineer

orbitalindustries · London

New
Senior 🇬🇧 English
Python Go Rust Java Kotlin graph databases message queues caching layers cloud infrastructure Docker Kubernetes infrastructure-as-code CI/CD pipelines event-driven architecture

Job description

About the role

As a Backend Engineer at Orbital Industries you will design, build and operate the core systems powering CurieOS, the company’s AI operating system. You will work across the full backend stack – APIs, data pipelines, graph databases, event‑driven architectures and the infrastructure that connects AI models to scientific tools used daily.

Key responsibilities

  • Design, implement and maintain APIs, services and data pipelines with a focus on reliability and performance.
  • Build and operate integrations between AI models, scientific tools and internal workflows.
  • Own the full lifecycle of backend features from design through deployment, monitoring and iteration.
  • Improve system observability, reliability and performance through instrumentation and optimisation.
  • Collaborate with ML researchers, product engineers and domain experts to translate requirements into robust backend solutions.
  • Contribute to architectural decisions and help shape the technical direction of CurieOS.

Required profile

  • Proven experience designing, building and operating production backend systems (APIs, data pipelines, event‑driven architectures).
  • Strong programming skills in at least one backend language such as Python, Go, Rust, Java or Kotlin.
  • Experience with relational and/or graph databases, message queues, caching layers and cloud infrastructure.
  • Track record of shipping reliable, maintainable software used by real users.
  • Ability to reason about system design, data modelling and engineering trade‑offs and communicate them effectively.

Required skills

  • Python, Go, Rust, Java/Kotlin
  • Relational databases (e.g., PostgreSQL) and graph databases
  • Message queues and caching systems
  • Cloud platforms (AWS, GCP, Azure)
  • Docker and Kubernetes containerisation
  • Infrastructure‑as‑code and CI/CD pipelines
  • Event‑driven architecture and data pipeline design
  • API development and integration

Questions fréquentes

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Source : ats:ashby

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Published 1 hour ago

Expires 1 month from now

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orbitalindustries

London