Security Python Engineer - Hybrid Backend (Cambridge/London)

Salt

Cambridge

Hybrid

GBP 60,000 - 80,000

Full time

11 days ago
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Job summary

Salt is seeking a mid-level Python developer focused on security to join its R&D-driven team with hybrid work options in Cambridge and London. You will build production-ready Python services, collaborate with ML researchers and SREs, and contribute to CI/CD and cloud deployments.

The role emphasizes clear communication, problem-solving, and the ability to translate research outputs into scalable features in a fast-paced environment.

Qualifications

  • Proficiency in Python with production experience.
  • Ability to break down ambiguous problems and explain reasoning.
  • Experience in small, fast-moving product teams.
  • Familiarity with containers and cloud concepts.
  • Good communication and live problem-solving skills.
  • At least 3+ years of relevant experience.

Responsibilities

  • Design, implement, test, and maintain backend services and prototypes in Python.
  • Work from prototype outputs to production-ready components with ML/AI researchers and SREs.
  • Participate in live coding and code reviews.
  • Collaborate with product managers and researchers to turn ideas into demos and features.
  • Troubleshoot, debug, and optimize systems for performance and reliability.
  • Contribute to CI/CD, Docker workflows, and cloud deployment patterns.
  • Communicate trade-offs and design decisions clearly.

Skills

Python proficiency
Problem-solving
Team experience
Containers Docker
Communication
3+ years experience

Education

Degree in CS/Engineering or related

Tools

Docker
Kubernetes

Job description

Salt is seeking a mid-level Python developer focused on security to join its R&D-driven team with hybrid work options in Cambridge and London. You will build production-ready Python services, collaborate with ML researchers and SREs, and contribute to CI/CD and cloud deployments.

The role emphasizes clear communication, problem-solving, and the ability to translate research outputs into scalable features in a fast-paced environment.

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