Technical Product Manager for AI Security Products
HiddenLayer
Rockstar is recruiting for a digital engineering software company that builds open, scalable infrastructure for engineering data. Their platform allows customers to simply and securely integrate engineering models across disciplines, organizations, and security levels — whether designing prototypes, performing virtual testing, or training AI and autonomy for complex systems. They are a team that values focus, finish, facts, and fellowship.
They are seeking a DevSecOps Engineer to join their Engineering team. This role is critical to securing, hardening, and scaling the infrastructure that powers their platform across cloud-hosted production environments.
This engineer will work closely with platform, infrastructure, and security stakeholders to improve the security and operational maturity of their AWS and Kubernetes environments, support compliance and audit readiness, and help ensure their systems are reliable, secure, and maintainable as they grow. This role will also support environments serving regulated and security-sensitive customer needs, including an environment they host for a Government organization.
The ideal candidate combines strong hands-on infrastructure expertise with sound security judgment and a practical, execution-focused mindset. They should be comfortable working across cloud infrastructure, Kubernetes, operating systems, compliance controls, and production operations.
Responsibilities include collaborating with the platform and engineering teams to secure and improve production infrastructure, harden cloud and host configurations, and build repeatable operational practices across environments. Key responsibilities include:
The anticipated compensation range for this position may vary based on experience, skills, qualifications, location, and business needs. In addition to base salary, this role may be eligible for bonuses, equity, and a comprehensive benefits package.
The client is a digital engineering software company building open, scalable infrastructure for engineering data. Their platform lets customers simply and securely integrate engineering models across disciplines, organizations, and security levels — whether they're designing prototypes, performing virtual testing, or training AI and autonomy for complex systems.
Focus is rewarded. Finish is remembered.
Facts are friendly. Even when they are not fun.
Fellowship is fundamental. Make others successful.
They may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist their recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact them.
Originally posted on Himalayas
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Rockstar is recruiting for a digital engineering software company that builds open, scalable infrastructure for engineering data. Their platform allows customers to simply and securely integrate engineering models across disciplines, organizations, and security levels — whether designing prototypes, performing virtual testing, or training AI and autonomy for complex systems. They are a team that values focus, finish, facts, and fellowship.
They are seeking a DevSecOps Engineer to join their Engineering team. This role is critical to securing, hardening, and scaling the infrastructure that powers their platform across cloud-hosted production environments.
This engineer will work closely with platform, infrastructure, and security stakeholders to improve the security and operational maturity of their AWS and Kubernetes environments, support compliance and audit readiness, and help ensure their systems are reliable, secure, and maintainable as they grow. This role will also support environments serving regulated and security-sensitive customer needs, including an environment they host for a Government organization.
The ideal candidate combines strong hands-on infrastructure expertise with sound security judgment and a practical, execution-focused mindset. They should be comfortable working across cloud infrastructure, Kubernetes, operating systems, compliance controls, and production operations.
Responsibilities include collaborating with the platform and engineering teams to secure and improve production infrastructure, harden cloud and host configurations, and build repeatable operational practices across environments. Key responsibilities include:
The anticipated compensation range for this position may vary based on experience, skills, qualifications, location, and business needs. In addition to base salary, this role may be eligible for bonuses, equity, and a comprehensive benefits package.
The client is a digital engineering software company building open, scalable infrastructure for engineering data. Their platform lets customers simply and securely integrate engineering models across disciplines, organizations, and security levels — whether they're designing prototypes, performing virtual testing, or training AI and autonomy for complex systems.
Focus is rewarded. Finish is remembered.
Facts are friendly. Even when they are not fun.
Fellowship is fundamental. Make others successful.
They may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist their recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact them.
Originally posted on Himalayas