Wal-Mart
Senior Offensive Security Engineer - Web & AI Systems
Wal-Mart, Mountain View, California, us, 94039
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.
Location Mountain View, CA (Onsite role, 4 days/week onsite)
Duration 12-month contract with potential to convert depending on the candidate's performance.
Pay Range $85 - $100/hr
No C2C resumes are considered.
Position Responsibilities
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.
Design and execute red–team–style engagements that simulate real-world adversaries.
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.
Review architectures and designs for new products from an attacker's perspective.
Produce clear, actionable security reports and present findings to technical and executive stakeholders.
Required Qualifications
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 .
Strong understanding of
API 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 ). · Strong knowledge of
common exploitation techniques and attacker tooling
Preferred Qualifications
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.
OSCP, OSEP, OSWE, CRTO, or similar.
What team is looking for
An attacker‑first mindset
with strong engineering discipline.
Ability to go beyond scanners and find novel, high‑impact vulnerabilities.
Clear communicator
who can translate complex exploits into actionable fixes.
Curiosity about
emerging threats, especially in AI security .
Ownership mentality and comfort operating
in ambiguous problem spaces.
#J-18808-Ljbffr
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.
Location Mountain View, CA (Onsite role, 4 days/week onsite)
Duration 12-month contract with potential to convert depending on the candidate's performance.
Pay Range $85 - $100/hr
No C2C resumes are considered.
Position Responsibilities
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.
Design and execute red–team–style engagements that simulate real-world adversaries.
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.
Review architectures and designs for new products from an attacker's perspective.
Produce clear, actionable security reports and present findings to technical and executive stakeholders.
Required Qualifications
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 .
Strong understanding of
API 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 ). · Strong knowledge of
common exploitation techniques and attacker tooling
Preferred Qualifications
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.
OSCP, OSEP, OSWE, CRTO, or similar.
What team is looking for
An attacker‑first mindset
with strong engineering discipline.
Ability to go beyond scanners and find novel, high‑impact vulnerabilities.
Clear communicator
who can translate complex exploits into actionable fixes.
Curiosity about
emerging threats, especially in AI security .
Ownership mentality and comfort operating
in ambiguous problem spaces.
#J-18808-Ljbffr