Design, implement, and manage tailored cybersecurity solutions for clients, ensuring robust, scalable, and compliant security controls across IT Security Governance, Application Security, and Infrastructure Security.
Responsibilities
Oversee end-to-end delivery of cybersecurity solution services
Act as escalation point for client and technical issues
Collaborate with Sales and Pre-Sales teams to design compelling solutions
Lead technical presentations, architecture reviews, and proof-of-concept demonstrations
Develop detailed proposals, statements of work, and effort estimations
Requirements
Bachelor’s degree in Computer Science, Information Security, or a related field.
As a Staff Product Security Engineer, AI Security at PayPal, you’ll provide technical leadership securing AI-assisted software development, protecting AI-enabled products and agentic systems, and applying AI to improve vulnerability detection and remediation.
Responsibilities
Leverage specialized security expertise to identify and resolve complex security issues
Partner across teams and key stakeholders to drive security initiatives leading and solutioning complex projects
Apply advanced analytical skills and sound judgment to solve security challenges
Directly contribute to improvements within the security domain
Leverage relationships across teams to influence initiatives and integrate feedback
Lead threat modeling, secure design reviews, and penetration testing for Unity products and services, from the engine and editor to cloud services, APIs, and internal platforms.
Locations (2)
Copenhagen, Denmark, Denmark
United States
Compensation
Denmark: Base Salary Range: kr702,200 – kr1,053,400 DKK gross
Responsibilities
Lead threat modeling, secure design reviews, and penetration testing for Unity products and services
Perform deep code review and manual testing on high-risk systems
Build and operate security automation
Secure Unity's AI and agentic systems
Partner with engineering teams to drive remediation
Strategic advisor and operational leader guiding product security integration across Thermo Fisher’s global portfolio.
Responsibilities
Partner with product teams and business leaders to align product security activities with roadmaps
Develop and deliver product security strategy and guidance for products, platforms, and portfolios
Coordinate and prioritize security engagements such as architecture reviews, threat modeling, penetration testing
Translate cybersecurity requirements, regulations, and risks into actionable guidance
Drive operational excellence through process improvement, governance, metrics, and cross‑functional collaboration
Requirements
Bachelor’s Degree in Information Assurance, Information Security, Management Information Systems, Computer Science, Engineering, or related technical field
Write production Go code while establishing a security practice from the ground up.
Compensation
Base salary: USD 220,000 to 320,000 per year
Responsibilities
Set up a new security engineering practice and define its priorities over time.
Encourage sound security habits across a compact, flat engineering team.
Design and release security capabilities that external users can rely on.
Write production Go code that strengthens infrastructure running across several cloud providers and container orchestration environments.
Take full ownership of cloud and container protection, covering access controls, network defenses, credential handling, isolation between workloads and audit logging.
Own the security of application code and software features, from secure development standards and code review through threat modeling, security tooling and protection of sensitive data. Work closely with engineers to build protections in from the start and to define safe design patterns for automated software components.
Locations (3)
San Francisco, California, United States
United States
United Kingdom
Compensation
Base salary: $220K - $300K
Responsibilities
Set secure development standards for authentication, authorization, secrets handling and input validation that engineers can adopt easily.
Embed security checks in code review, build pipelines and pre-release testing to catch risks before release.
Run threat modeling on feature work and turn findings into practical controls.
Build security tooling and automated scans that extend coverage across the codebase, using AI to speed up review.
Define secure patterns for software that calls third-party services and automated components, including credential storage, response validation and permission limits.