Application Security Engineer

Passionate about precision medicine and advancing the healthcare industry? Recent advancements in underlying technology have finally made it possible for AI to impact clinical care in a meaningful way. Tempus' proprietary platform connects an entire ecosystem of real-world evidence to deliver real-time, actionable insights to physicians, providing critical information about the right treatments for the right patients, at the right time. Passionate about precision medicine and advancing the healthcare industry? Recent advancements in underlying technology have finally made it possible for AI to impact clinical care in a meaningful way. Tempus' proprietary platform connects an entire ecosystem of real-world evidence to deliver real-time, actionable insights to physicians, providing critical information about the right treatments for the right patients, at the right time.

As an Application Security Engineer, you will secure how Tempus builds software, from design through release. You will partner with product and engineering teams to build security into the software development lifecycle (SDLC), and you will assess our applications and APIs the way an attacker would, through security assessments and penetration tests. The applications you secure handle sensitive clinical and genomic data and increasingly include AI-powered capabilities, so securing AI and LLM-enabled systems is a core part of the role. You will own well-defined application security problems within your team's scope, with guidance from your lead.

Embed security into the SDLC through threat modeling, design reviews, security requirements, and security-focused code reviews with product and development teams. Plan and conduct application security assessments and penetration tests of web applications, APIs, and cloud-hosted services, and document findings with clear risk ratings and practical remediation guidance. Threat model and assess AI and LLM-enabled features (agents, RAG pipelines, tool and MCP integrations), including adversarial prompt testing and validation of guardrails, permissions, and data access controls. Select, integrate, and tune SAST, DAST, software composition analysis, and secrets scanning in CI/CD pipelines. Build automation, secure-by-default patterns, and guardrails that prevent whole classes of vulnerabilities. Use AI-assisted tooling to scale code review, triage, and remediation, applying human judgment to validate the results. Reproduce, triage, and prioritize application security vulnerabilities, and work with developers through to remediation. Communicate the nature, severity, and business risk of security issues to development teams and leadership. Design, implement, and document application security controls, standards, and secure coding guidance. Run and support the vulnerability disclosure program. Coach developers on secure design and coding through consulting, training, and everyday collaboration.

3-5 years of experience in application security, penetration testing, or software engineering with a security focus. Hands-on experience testing web applications, APIs, and cloud-hosted services, using proxying and penetration testing tools (e.g. Burp Suite), and strong command of common security flaws and mitigations (e.g. OWASP Top 10). Experience performing security design reviews at the architecture level Working experience securing AI and LLM-enabled applications: how they are designed and how they fail, including prompt injection, data leakage, excessive agency, and insecure output handling (e.g. OWASP Top 10 for LLM Applications). Practical experience with at least one threat modeling method (e.g. STRIDE, PASTA, attack trees). Experience with SAST, DAST, and SCA tools and integrating them into CI/CD pipelines. Proficiency in Python, Go, or JavaScript for security tooling and automation, and the ability to read and review code. Solid understanding of network and web protocols (TCP/IP,