Credit Karmaposted 2 days ago
$260,000 - $320,000/Yr
Full-time • Mid Level
Oakland, CA

About the position

As a Product Security Engineer, you will conduct security reviews, and design and prototype new tooling and features across the organization. You will work with architects and engineering teams to guide the implementation of secure practices across different areas like cloud, API, applications and mobile devices. You will provide training in security best practices, and enforce our policies and standards. You will identify trends and risks across multiple platforms, and engage with senior leadership to provide action plans and strategy.

Responsibilities

  • Provide security expertise for cloud, web and mobile projects, helping teams meet the enterprise and IT security policies, industry regulations, and best practices.
  • Implement company-wide programs that deploy security patterns and controls across applications and computing environments, together with business resiliency, privacy, and compliance frameworks.
  • Work with security and engineering teams to maintain a security architecture that provides security controls throughout all platforms to mitigate risk, and to meet goals and regulatory requirements.
  • Ensure the quality of our applications and products by guiding them through the Secure Development Lifecycle (SDL) process.
  • Advocate, research, develop new tools to support our security patterns and standards.
  • Monitor our exposure to, and assess the impact of, new security threats, vulnerabilities and risks.

Requirements

  • 4+ years' experience in the application security industry, solving security problems in large-scale systems.
  • Experience with security design reviews, and threat-modeling exercises for both traditional and AI systems.
  • Expertise in verifying and measuring common security vulnerabilities, and demonstrated ability in communicating these concepts to your partners in engineering.
  • Familiarity with the responsibilities and workflow of software developers and machine learning engineers.
  • Facility with implementing standards, e.g., PCI-DSS, ISO, OAuth, NIST Cyber Security framework.
  • Basic working knowledge of one or more of the following languages: Java, Scala, Node JS, Typescript, Python, Golang, Rust.
  • Strong knowledge of security frameworks and standards (NIST, CIS, MITRE ATT&CK).

Nice-to-haves

  • Exposure to most of the following technologies: Google Cloud, iOS, Android, CircleCI, IAM, Snyk, Consul, Kubernetes, Hashicorp Vault, PKI, OPA, React, GraphQL, Thrift, Kafka, and Splunk.
  • Familiarity with AI-specific threats and secure AI development practices.
  • Working familiarity with one or more LLM platforms: GPT, Gemini, Claude, Llama.
  • Experience defining security architecture patterns and standards in a large enterprise organization.
  • Knowledge of cryptography including algorithms, standards, and their practical applications such as TLS and HMAC.
  • Experience performing threat modeling of applications to identify potential security issues.

Benefits

  • Medical and Dental Coverage
  • Retirement Plan
  • Commuter Benefits
  • Wellness perks
  • Paid Time Off (Vacation, Sick, Baby Bonding, Cultural Observance, & More)
  • Education Perks
  • Paid Gift Week in December
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