Product Security Engineer - Apps

Collaborate with engineering and product teams to integrate security and secure-by-default guardrails into the product lifecycle, ensuring that security is a core consideration in all design and development decisions.
Conduct Threat Modeling and Risk Assessments from the early stages of the product development lifecycle to identify, assess, and prioritize security risks, enabling proactive mitigation strategies.
Perform rigorous security testing and reviews to uncover and address security weaknesses.
Lead initiatives automating security processes from the developer workstation to cloud, SaaS, and datacenter environments.
Design, build, deploy, and support security-focused solutions across cloud and on-premise footprints.
Foster a security-first culture by educating and empowering engineering and product teams through training, awareness campaigns, and mentorship, cultivating a strong security mindset.
Stay updated on the latest security threats, vulnerabilities, and technology trends, and proactively implement improvements.
Contribute to incident response efforts, investigate root causes, and implement corrective actions to minimize impact and prevent future occurrences.

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  Bachelor's degree in Computer Science, Electrical Engineering, a related field, or equivalent professional experience. Master's degree is a plus.
  3+ years of combined hands-on experience in software engineering and application and infrastructure security, including securing cloud-based and containerized environments.
  Demonstrable experience with product and application security concepts, including API, web, and mobile app security.
  Excellent communication skills, both written and verbal, and the ability to communicate complex security concepts to technical and non-technical audiences, including senior leadership.
  Proven ability to establish credibility and build trust with engineers and operational staff.
  Expertise in conducting comprehensive threat modeling, risk assessments, and code reviews to identify and mitigate vulnerabilities.
  Experience building, deploying, and securing workloads and infrastructure in Google Cloud Platform (GCP).
  Experience utilizing and securing AI/ML models and AI-integrated solutions, a general understanding of AI concepts, AI governance and risk management, and a willingness to learn more.
  Proficient in modern security frameworks, tools, and techniques. Familiarity with security standards and frameworks such as ISO, NIST, OWASP, etc. Proficiency in secure SDLC practices, commercial and open-source security testing tools (SAST, DAST, SCA, fuzzing), container security (Docker, Kubernetes), and cloud security (GCP, AWS, Azure).
  Practical experience securing CI/CD pipelines; Infrastructure-as-Code (IaC) tools like Terraform; GitLab and/or Github; artifact management.
  Strong understanding of both human and non-human identity management, enterprise and consumer authentication standards and use cases, and common protocols including OAuth and SAML.
  Experience overseeing vulnerability and threat management at the platform and application levels.
  Strong understanding of cryptography and key management use cases.
  Proficiency in one or more modern programming languages like NodeJS, Golang, Python, Java, and C/C++.

  Preferred Qualifications:
  Consulting or other practical experience in application security, penetration testing, and/or red teaming.
  Experience with AI-enabled application security programs, security assessments, and penetration testing.
  Experience researching, recommending, and operationalizing AI security products and features.
  Deep knowledge of cloud security, networking security, Android or iOS security, IoT, or Wi-Fi.
  Security or technical conference participation, paper submissions, and public presentations.
  Participation in cyber security and/or open-source software communities.