Staff Software Security Engineer β€” Hybrid London

Staff Software Security Engineer β€” Hybrid London

London Full-Time 60000 - 75000 Β£ / year (est.) No working from home possible
Data Science Festival

At a Glance

  • Tasks: Shape security practices across applications and cloud infrastructure in a dynamic environment.
  • Company: Join Data Science Festival, a leader in fostering a security-first engineering culture.
  • Benefits: Enjoy hybrid work, high autonomy, and opportunities to influence security strategy.
  • Why this job: Make a real impact on security as the company scales and evolves.
  • Qualifications: Experience in software security and collaboration with engineering teams.

The predicted salary is between 60000 - 75000 Β£ per year.

Data Science Festival is hiring a Staff Software Security Engineer in London.

The role sits within a security-first engineering culture, shaping security posture across applications and cloud infrastructure.

You will embed secure practices throughout the SDLC and collaborate with software engineers and leadership.

The position offers hybrid work, high autonomy, and opportunities to influence security strategy as the company scales.

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Staff Software Security Engineer β€” Hybrid London employer: Data Science Festival

At Data Idols, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. Our hybrid working model in London allows for flexibility while you contribute to a cutting-edge AI-powered platform, with ample opportunities for professional growth and influence over key architectural decisions. Join us to be part of a high-performing engineering team where your expertise will directly impact the future of technology in a supportive and forward-thinking environment.

Data Science Festival

Contact Details:

Data Science Festival Recruitment Team

We think you need these skills to ace Staff Software Security Engineer β€” Hybrid London

Python
Communication Skills
Problem-Solving Skills
SQL
Data Engineering
ETL/ELT Processes
Data Pipeline Development