Senior Application Security Engineer (AI Security)

Location: Cambridge, United Kingdom; flexible hybrid working with office attendance once every two weeks

Salary: £60,000–£75,000 per year, subject to experience

Company

hirify.global builds software that helps data professionals securely manage the data and databases their organisations depend on, with a focus on cloud-native technologies and AI-enabled development.

What you will do

• Partner with engineering and product teams to define and operationalise security requirements across the full software development lifecycle.
• Own or co-own application security governance, including secure-by-default standards, patterns, guardrails, and risk exceptions.
• Lead threat modelling for new features and architectural changes, translating findings into practical engineering work.
• Drive SAST and DAST adoption, tool tuning, severity calibration, and developer-facing triage guidance.
• Support product teams adopting AI technologies, including LLMs, SLMs, and MCP.
• Review code and make independent security decisions based on practical risk rather than automated scanner output.

Requirements

• Hands-on product or application security experience across a modern software development lifecycle.
• Ability to review code and communicate security issues clearly to developers, primarily in a C# ecosystem, with exposure to Java or Python.
• Strong knowledge of the OWASP Top 10 and practical mitigation patterns.
• Experience implementing or improving SAST and DAST processes, including tool tuning, triage workflows, and reducing signal to noise.
• Working understanding of cloud and container security fundamentals, ideally with AWS and Docker.
• Ability to work in a flexible hybrid arrangement based in Cambridge, with office attendance once every two weeks.

Culture & Benefits

• Environment based on trust, accountability, collaboration, respect, and fairness.
• Monthly wellbeing allowance and generous paid time off.
• Private health insurance.
• Investment in learning, development, and career progression.
• Access to AI tools including Claude.
• Human-reviewed applications and feedback for candidates who reach the interview stage.

Hiring process

• Submit a CV or LinkedIn profile and covering letter.
• Initial conversation followed by a skills alignment interview, which may include a technical assessment or competency-based questions.
• Values alignment interview followed by an offer discussion if successful.