Engineering Manager, Infrastructure
RoSalary not specified
- Full Time
- Senior (5 to 8 years)
$220,500 – $385,000Compensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Government & Public Sector, Data & AnalyticsIndustries
Requirements
Candidates should hold an active US security clearance and have at least 8 years of experience in engineering, including 4 years in infrastructure. Experience in building, operating, and maintaining infrastructure in unique environments is required, along with a strong ability to debug issues across the stack, including networking and performance. Candidates should thrive in dynamic environments, possess a strong desire to learn, and be able to communicate learnings clearly and concisely.
Responsibilities
The Infrastructure Engineer will design and build performant, reliable, and scalable infrastructure for public sector customers. They will accelerate engineering productivity by providing excellent tooling and systems, partner with product engineers to implement new features, and guide product teams on best practices for observable systems. The role includes ensuring system reliability through on-call rotations and collaborating with various teams to meet the unique constraints of new environments.
Skills
Kubernetes
Python
FastAPI
Cosmos DB
Postgres
Terraform
Debugging
Networking
Performance
OpenAI
Develops safe and beneficial AI technologies
About OpenAI
OpenAI develops and deploys artificial intelligence technologies aimed at benefiting humanity. The company creates advanced AI models capable of performing various tasks, such as automating processes and enhancing creativity. OpenAI's products, like Sora, allow users to generate videos from text descriptions, showcasing the versatility of its AI applications. Unlike many competitors, OpenAI operates under a capped profit model, which limits the profits it can make and ensures that excess earnings are redistributed to maximize the social benefits of AI. This commitment to safety and ethical considerations is central to its mission of ensuring that artificial general intelligence (AGI) serves all of humanity.
Key Metrics
San Francisco, CaliforniaHeadquarters
2015Year Founded
$18,433.2MTotal Funding
LATE_VCCompany Stage
AI & Machine LearningIndustries
1,001-5,000Employees