Senior System Security Engineering

3 weeks ago

Mountain View CA, United States Wal-Mart Full time

FocusKPI is seeking a Senior Offensive Security Engineer (Web & AI systems) to join one of our clients, a high-tech SaaS company. Team is looking for a Senior Offensive Security Engineer to proactively identify, exploit, and help eliminate security weaknesses across their web platforms and AI/ML systems. In this role, you will think like an attacker, operate with engineering rigor, and work closely with product, platform, and AI teams to raise the security bar across the organization. You will lead complex penetration tests, design novel attack techniques for web and modern AI-powered applications, and influence secure‑by‑design architecture at scale.
12-month contract with potential to convert depending on the candidate's performance.
Conduct offensive security assessments on large-scale web applications, REST APIs, and cloud-backed services.
Identify and validate vulnerabilities, including injection flaws, access control issues, authentication/authorization weaknesses, SSRF, deserialization, and logic bugs.
Evaluate LLM-based systems and AI agents for prompt injection, data exfiltration, model abuse, and jailbreaks.
Develop custom exploitation tools, PoCs, and fuzzers for web and AI attack surfaces.
Identify systemic security weaknesses and collaborate with engineering teams to drive long‑term mitigations.
Master’s degree in Computer Science, Computer Engineering, Information Security, or a closely related technical field.
A doctorate (PhD) in a relevant field is a plus but not required.
5+ years of experience in offensive security, penetration testing, or red teaming.
Deep expertise in web application security .
Hands‑on experience testing AI/ML or LLM‑based systems , or strong motivation with demonstrated research in this area.
Proficiency in at least one scripting or programming language ( Python, Go, JavaScript, or similar ). · Prior work on adversarial ML, red‑teaming AI systems, or secure LLM pipeline design.
Experience with cloud security (AWS, GCP, Azure) and containerized environments.
Background in security research, published CVEs, CTF experience, blog posts, or conference talks.
An attacker‑first mindset with strong engineering discipline.
Curiosity about emerging threats, especially in AI security .

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