Hiring: Member of Technical Staff, Product Security Company: Parallel Web Systems Location: San Francisco Bay Area Job Posted Time: 2026-09-16 22:29:28 Target Skills & Keywords : GCP, Kubernetes, LLM, Python, Spark, TypeScript About the job Required Skills: •Also help define how security fits into the development process: building reusable patterns for authentication, authorization, data handling, and outbound access, designing controls for enterprise customers, and ensuring security review happens as part of how software gets built rather than as a separate process at the end. Qualifications: •Have deep intuition on application security, software architecture, and how vulnerabilities emerge in real systems. You are comfortable finding issues yourself, but care more about eliminating vulnerability classes through better libraries, frameworks, and defaults. •You still like to write production code and have strong opinions on where current AI models are useful for security work and where they mostly create noise. You are comfortable operating independently, prioritizing the highest-leverage problems, and working directly with both engineers and customers. •Significant software engineering experience, including several years focused on product or application security •Strong experience with web and API security, including authentication, authorization, SSRF, IDOR, injection, and multi-tenant isolation •Built frameworks, libraries, or secure defaults that reduced entire classes of vulnerabilities across a codebase or engineering organization •Demonstrated capacity to work independently as the primary security owner and make clear prioritization decisions •Strong production coding skills in Python, Go, TypeScript, or similar languages •, between our Palo Alto HQ and San Francisco office. We’re a flat, talent-dense organization dedicated to solving technical and creative problems. Compensation: •$150,000 - $300,000 / year Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!