Sr. Application Security Engineer

The Role

Join Addepar’s Application Security team as a Senior Application Security Engineer focused on embedding security deeply into our development lifecycle by building, automating, and maintaining security controls at scale. This role will also work on pushing AI initiatives forward and defining how our engineering teams securely implement AI, while simultaneously integrating wider workflows into our own security processes. If you are passionate about secure coding, automation and the frontier of AI security, we want you on our team.

Applicants must have, and maintain, the right to work in the United Kingdom from the first day of employment. Please note that visa sponsorship is not available for this role.

What You’ll Do

• You will design, implement, and enforce security guardrails and best practices for how other engineering teams utilise AI tools and features.
• Oversee and optimize our security scanning ecosystem across all repositories, including SAST, SCA, and container security using GitHub Advanced Security, CodeQL, and similar tools.
• Push our internal team’s capabilities forward by identifying where and how to integrate AI into our daily workflows to build smarter, more efficient security tools.
• Maintain and refine our PR security review processes, managing blocking PRs and enhancing custom internal tooling that flags dangerous or high-risk code changes for security review.
• Partner with engineering teams to deliver secure business outcomes and measure impact through coverage, prevention, and response metrics.
• Participate in design reviews and security assessments, producing clear and actionable assessment reports.

Who You Are

• You have 4+ years in application security with hands-on integrating security into SDLC at scale.
• You have a deep understanding and experience across GitHub CI/CD use and best practices.
• You have extensive experience with Python, and a solid familiarity with Java and JavaScript.
• You are curious and forward-thinking about the AI security landscape. While you don't need to be an AI expert, you are aware of how LLMs integrate with tools (Skills, MCPs, agents and identities), and keep up-to-date with security developments in the AI space.
• You have sharp analytical and critical thinking skills, allowing you to dissect complex technical challenges and architect secure solutions. Being able to think outside the box is equally important as thinking inside the box.
• Have clear written and verbal communication skills with the ability to influence across teams and mentor others.
• You have a passion for continuous learning in a constantly evolving tech and security landscape.
• Bachelor’s degree in CS/Engineering or equivalent practical experience.