Security Engineer, Cloud Security
OpenAI$279,000 - $385,000/year
- Full Time
- Mid-level (3 to 4 years), Senior (5 to 8 years)
$150,000 – $250,000Compensation
Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Cybersecurity, AI & Machine Learning, Enterprise SoftwareIndustries
Requirements
Candidates must have at least 3 years of experience in a Security Engineer or similar security-focused role, ideally in a fast-paced startup environment. A strong knowledge of cloud security, particularly AWS and GCP, as well as container security and infrastructure-as-code best practices is essential. Hands-on experience with security tooling such as SIEM, IDS/IPS, and vulnerability scanners is also required.
Responsibilities
The Security Engineer will collaborate with engineering teams to design and implement secure systems and infrastructure, including cloud environments and container orchestration platforms. They will lead proactive vulnerability assessments and remediation efforts, develop incident response processes, oversee identity and access management strategies, ensure compliance with relevant standards, and develop security training programs for employees. Additionally, they will partner with DevOps teams to integrate security into the CI/CD pipeline.
Skills
Vulnerability Management
Penetration Testing
Incident Response
IAM
AWS
GCP
Container Orchestration
Security Architecture
Security Design
Security Compliance
SOC 2
ISO 27001
Baseten
Platform for deploying and managing ML models
About Baseten
Baseten provides a platform for deploying and managing machine learning (ML) models, aimed at simplifying the process for businesses. Users can select from a library of open-source foundation models and deploy them with just two clicks, making it easier to implement ML solutions. The platform features autoscaling, which adjusts resources based on demand, and comprehensive monitoring tools for tracking performance and troubleshooting. A key differentiator is Baseten's open-source model packaging framework, Truss, which allows users to package and deploy custom models easily. The company operates on a usage-based pricing model, where clients pay only for the time their models are actively deployed, helping them manage costs effectively.
San Francisco, CaliforniaHeadquarters
2019Year Founded
$58.4MTotal Funding
SERIES_BCompany Stage
AI & Machine LearningIndustries
51-200Employees