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Genomics

Drives genomics-powered health insights and partnerships

Senior Application Security Engineer

Security Engineering & ArchitectureConfirmed live in the last 24 hours
Full-timeNo salary listed

About the Job

Requirements

  • Experience in production application security, including finding and fixing exploitable software bugs through threat modelling, secure design, code review, and proof-of-concept exploitation across web services, application programming interfaces, and data-serving interfaces.
  • Production-quality software engineering experience in at least one mainstream language such as Python, Go, or TypeScript, and ability to read several languages.
  • Experience building and operating security or developer tooling in continuous integration and continuous delivery pipelines, such as static and dependency analysis, secrets detection, or policy-as-code, with evidence of engineering adoption.
  • Hands-on experience securing multi-tenant systems on a major cloud platform, including tenant isolation, identity and access management, least privilege, secrets management, Kubernetes and container security, and trust boundaries between services. AWS experience across RDS, EC2, S3, EKS, or Batch is relevant; comparable Google Cloud Platform or Azure experience transfers.
  • Daily use of frontier AI models for code analysis, vulnerability triage, remediation drafting, and research, with judgement about model reliability and limitations.
  • Experience building or tuning large language model-driven tooling and understanding the attack surface it introduces.
  • Experience running or contributing centrally to a vulnerability disclosure or bug bounty programme and its remediation lifecycle, including severity, prioritisation, service-level agreements, root cause, and systemic fixes.
  • Experience working on application-layer incidents alongside detection and response, using security telemetry and Security Information and Event Management data as evidence.
  • Risk-led judgement to identify designs requiring deep review, distinguish important findings from noise, and make accepted risk explicit for leadership decisions.
  • Ability to explain risk and trade-offs to engineers, product teams, and leadership, and to write usable guidance.

Responsibilities

  • Lead threat modelling and design reviews for new products and infrastructure, and define security invariants covering tenant isolation, authentication and authorisation, secrets, least privilege, and trust boundaries.
  • Build libraries, patterns, and continuous integration and continuous delivery guardrails that make secure practices easy, and determine which controls are enforced versus advised.
  • Build and tune artificial intelligence tooling for code analysis, triage, and remediation, and verify where its outputs can be trusted.
  • Find vulnerabilities through code review, testing, and proof-of-concept exploits; run the disclosure programme and drive findings through to verified fixes.
  • Secure agentic and artificial intelligence surfaces, including prompt injection, tool boundaries, delegated credentials, and tenant-scoped access, and validate controls through adversarial testing.
  • Work as an embedded partner to product teams, site reliability engineering, detection and response, the data platform team, and the Mystra artificial intelligence and machine learning team.

About the Company

Genomics

Drives genomics-powered health insights and partnerships

Genomics plc uses genomic data to improve health care and drug discovery. It analyzes patients' genetic information to generate insights about biology and disease and then integrates these findings into clinical practice and research. The company partners with healthcare systems, pharmaceutical companies, providers, and payers to apply genomics to personalized medicine, helping doctors select better treatments and accelerating the development of new drugs. Its offerings include data-driven analytics and decision-support that embed genomic information into clinical and research workflows. Genomics plc differentiates itself by pursuing wide-ranging collaborations across the healthcare ecosystem to turn genomic data into practical, real-world decisions. The goal is to enable longer, healthier lives by making care and therapy choices more precise through genomics.

Company size
51-200
Company stage
Late Stage VC
Total funding
$136M
Headquarters
Oxford, United Kingdom
Founded
2014

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