Staff Engineer: AI-Driven IT Automation Leader

SoSafe

Greater London

Hybrid

GBP 90,000 - 150,000

Full time

14 days+

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Benefits offered by this job

Work/Life balance: Flexible hours, 33⍺
Wellbeing and discounts
Virtual events and local meet-ups
Tech equipment and referrals

Job summary

SoSafe is seeking a Staff Engineer to push automation and AI-native capabilities across a fast-growing security awareness platform. You’ll architect, build, and scale an AI-enabled toolchain while mentoring multiple teams and shaping IT operations as code across the organization.

Ideal candidates combine hands-on coding with a systems-thinking mindset, delivering robust, production-grade automation and guiding non-technical stakeholders through complex technical concepts.

Qualifications

  • Demonstrated experience operating at a Staff Engineer level in a cloud-native SaaS environment.
  • Hands-on builder and systems thinker with practical coding involvement.
  • Track record of AI-native adoption moving workflows from experiments to production.

Responsibilities

  • Architect and iterate a toolchain blending traditional automation with AI-driven design.
  • Mentor and enable early adopter teams to extract value from the platform.
  • Standardise practices and scale the platform across departments.
  • Drive the evolution of IT operations towards an as-code infrastructure model.
  • Contribute to the IT/Sec Operating System in a move to build-not-buy teams.
  • Mentor and level up the IT engineering team and other departments.
  • Champion automation and AI platforms to drive cross-departmental adoption.

Skills

Staff Engineer
Systems thinking
AI-native adoption
Leadership
Communication
Problem solving

Tools

GitHub Actions
n8n
Zapier

Job description

SoSafe is seeking a Staff Engineer to push automation and AI-native capabilities across a fast-growing security awareness platform. You’ll architect, build, and scale an AI-enabled toolchain while mentoring multiple teams and shaping IT operations as code across the organization.

Ideal candidates combine hands-on coding with a systems-thinking mindset, delivering robust, production-grade automation and guiding non-technical stakeholders through complex technical concepts.

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