Security engineer, application security (UK)

United States Digital Space LLC

Greater London

On-site

GBP 80,000 - 110,000

Full time

14 days+

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Benefits offered by this job

PTO
Medical Insurance
Parental leave
Fertility support
Galleri screening
Pension plan
Wellness stipend
Learning stipend
Company off-sites
Stock options

Job summary

WRITERWRITER is seeking a security engineer to harden AI-powered applications at enterprise scale. You will secure our security infrastructure, embed security into product decisions, and collaborate with engineering to make security an enabler rather than a blocker.

You’ll own threat modeling of LLM architectures, build automated controls, and lead pen tests across the stack. Hybrid role based in London, reporting to the head of security engineering.

Qualifications

  • 4+ years of hands-on application security engineering experience.
  • Experience securing large-scale production systems.
  • Knowledge of SAST/DAST solutions and DevSecOps practices.
  • Excellent communication and collaboration across technical and non-technical teams.

Responsibilities

  • Embed security into the DNA of our AI platform architecture and features.
  • Lead SAST/DAST in CI/CD pipelines, code reviews, and build automation.
  • Champion secure coding standards and reusable security patterns across teams.
  • Lead security assessments and penetration testing of applications, AI services, and APIs.

Skills

Python
Java
Go
JavaScript/TypeScript

Tools

SAST/DAST tools
CI/CD tooling

Job description

About WRITERWRITER is where the world's leading enterprises orchestrate AI-powered work. Our vision is to expand human capacity through superintelligence. And we're proving it's possible – through powerful, trustworthy AI that unites IT and business teams together to unlock enterprise-wide transformation. With the company's end-to-end platform, hundreds of companies like Mars, Marriott, Uber, and Vanguard are building and deploying AI agents that are grounded in their company's data and fueled by the company's enterprise-grade LLMs. Valued at $1.9B and backed by industry-leading investors including Premji Invest, Radical Ventures, and ICONIQ Growth, the company is rapidly cementing its position as the leader in enterprise generative AI.

Founded in 2020 with office hubs in San Francisco, New York City, Seattle, Austin, Chicago, and London, our team thinks big and moves fast, and we're looking for smart, hardworking builders and scalers to join us on our journey to create a better future of work with AI.

About the roleThis is where security meets innovation at enterprise scale. As a security engineer, applications at the company, you'll be building the security foundations that protect the AI systems powering some of the world's most recognizable brands. You'll work at the intersection of application security, AI infrastructure, and developer enablement—partnering with engineering teams to embed security into every line of code while ensuring our platform remains both powerful and trustworthy.

The opportunity is massive: you'll help define how enterprise AI applications are secured, from threat modeling our LLM architectures to building automated security controls that scale across our growing platform. This isn't about saying "no"—it's about finding creative ways to say "yes, and here's how we do it securely." You'll tackle challenges that most security engineers never encounter: securing AI agents, protecting training data pipelines, and designing controls for systems that didn't exist a few years ago.

This role is hybrid from our London office, reporting to the head of security engineering.

What you'll do
  • Build security into the DNA of our AI platform by conducting threat modeling sessions with product teams, designing secure architectures for new features, and ensuring security considerations shape product decisions from day one—not after the fact
  • Own and evolve our application security program including establish and maintain SAST/DAST scanning in CI/CD pipelines, conducting security code reviews for critical changes, and building automation that catches vulnerabilities before they reach production
  • Partner with engineering teams to establish and champion secure coding standards, creating reusable security patterns and libraries that make it easier for developers to build securely by default
  • Design and recommend security features and products that help secure customer environments. You are the advocate and the vision for how we protect and secure customers..
  • Integrate and leverage AI agents to help increase velocity for the security team and the overarching engineering org to ensure that we are proactive in minimizing risk while we build products
  • Lead security assessments and penetration testing of the company's applications, AI services, and APIs, identifying vulnerabilities across our tech stack and working collaboratively with teams to remediate issues at scale
  • Design and implement security controls for protecting data pipelines, model training environments, and customer-facing AI agents
  • Stay ahead of emerging threats in the AI/ML security landscape, researching attack vectors specific to LLMs and generative AI, and proactively building defenses against novel risks
What you need
  • 4+ years of hands-on experience in application security engineering, with a proven track record of securing large-scale production systems—bonus points if you've worked in fast-growing startups or high-growth environments
  • Understanding of developer experience and developer workflows for shipping features and products. You care deeply about reducing risk while considering velocity of engineers.
  • Technical expertise in at least two programming languages (Python, Java, Go, JavaScript/TypeScript) and the ability to read and review code across multiple languages, understanding both business logic and security implications
  • Knowledge of security tools and methodologies including SAST/DAST solutions, vulnerability management platforms, security testing frameworks, and DevSecOps practices—you know which tools to use and when automation beats manual review
  • Excellent communication skills that allow you to translate complex security concepts into clear recommendations for both technical and non-technical audiences—you can explain why something matters and motivate teams to action
  • A builder's mindset that looks for opportunities to automate, scale, and empower rather than create bottlenecks—you understand that security enables the business, not blocks it
  • Alignment with the company's values of Connect (building strong relationships across teams), Challenge (pushing the boundaries of what's possible in AI security), and Own (taking end-to-end responsibility for the security of our platform)
Benefits & perks (UK full-time employees):
  • Generous PTO, plus company holidays
  • Comprehensive medical and dental insurance
  • Paid parental leave for all parents (16 weeks)
  • Fertility and family planning support
  • Early-detection cancer testing through Galleri
  • Competitive pension scheme and company contribution
  • Annual work-life stipends for:
  • Wellness stipend for gym, massage/chiropractor, personal training, etc.
  • Learning and development stipend
  • Company-wide off-sites and team off-sites
  • Competitive compensation and company stock options

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