Jobright.ai
Senior Infrastructure Engineering Manager, Enterprise
Jobright.ai, San Francisco, California, United States, 94199
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Senior Infrastructure Engineering Manager, Enterprise
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Jobright.ai 2 days ago Be among the first 25 applicants Join to apply for the
Senior Infrastructure Engineering Manager, Enterprise
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Jobright.ai Get AI-powered advice on this job and more exclusive features. Jobright is an AI-powered career platform that helps job seekers discover the top opportunities in the US. We are NOT a staffing agency. Jobright does not hire directly for these positions. We connect you with verified openings from employers you can trust. Job Summary: Scale AI is a leading AI data foundry focused on accelerating the development of AI applications. They are seeking an Infrastructure Engineering Manager to bridge the gap between AI research and production, leading a team to create scalable, high-performance enterprise solutions and redefining how businesses leverage AI. Responsibilities: • Define and execute the infrastructure roadmap aligned with business and engineering priorities. • Lead the design and implementation of scalable, secure, and reliable infrastructure systems. • Set and maintain SLAs/SLOs for platform uptime, performance, and developer experience. • Manage the engineering team and drive technical delivery • Design, build, and optimize backend services for advanced AI-driven applications, focusing on AI agents, evaluation tooling, and automation • Influence the culture, values, and processes of a growing engineering team • Inspire and mentor engineers. • Work closely with product, security, and engineering leadership to align on goals and priorities. Qualifications: Required: • At least 7 years of relevant experience and at least 4+ years of experience managing infrastructure or platform teams. • Proven experience with cloud platforms such as AWS, GCP, or Azure. • Deep understanding of CI/CD pipelines, infrastructure-as-code (e.g., Terraform, Pulumi), and container orchestration (e.g., Kubernetes). • Experience managing production environments with high availability, reliability, and scalability requirements. • Familiarity with monitoring, alerting, and incident response best practices. • Experience working with modern developer platforms and internal tooling to improve engineering velocity. Company: Scale AI provides a data-oriented platform that assists in the development of AI applications. Founded in 2016, the company is headquartered in San Francisco, California, USA, with a team of 501-1000 employees. The company is currently Late Stage. Scale AI has a track record of offering H1B sponsorships. Seniority level
Seniority level Mid-Senior level Employment type
Employment type Full-time Job function
Industries Software Development Referrals increase your chances of interviewing at Jobright.ai by 2x Inferred from the description for this job
Medical insurance Vision insurance 401(k) Get notified about new Engineering Manager jobs in
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Senior Infrastructure Engineering Manager, Enterprise
role at
Jobright.ai 2 days ago Be among the first 25 applicants Join to apply for the
Senior Infrastructure Engineering Manager, Enterprise
role at
Jobright.ai Get AI-powered advice on this job and more exclusive features. Jobright is an AI-powered career platform that helps job seekers discover the top opportunities in the US. We are NOT a staffing agency. Jobright does not hire directly for these positions. We connect you with verified openings from employers you can trust. Job Summary: Scale AI is a leading AI data foundry focused on accelerating the development of AI applications. They are seeking an Infrastructure Engineering Manager to bridge the gap between AI research and production, leading a team to create scalable, high-performance enterprise solutions and redefining how businesses leverage AI. Responsibilities: • Define and execute the infrastructure roadmap aligned with business and engineering priorities. • Lead the design and implementation of scalable, secure, and reliable infrastructure systems. • Set and maintain SLAs/SLOs for platform uptime, performance, and developer experience. • Manage the engineering team and drive technical delivery • Design, build, and optimize backend services for advanced AI-driven applications, focusing on AI agents, evaluation tooling, and automation • Influence the culture, values, and processes of a growing engineering team • Inspire and mentor engineers. • Work closely with product, security, and engineering leadership to align on goals and priorities. Qualifications: Required: • At least 7 years of relevant experience and at least 4+ years of experience managing infrastructure or platform teams. • Proven experience with cloud platforms such as AWS, GCP, or Azure. • Deep understanding of CI/CD pipelines, infrastructure-as-code (e.g., Terraform, Pulumi), and container orchestration (e.g., Kubernetes). • Experience managing production environments with high availability, reliability, and scalability requirements. • Familiarity with monitoring, alerting, and incident response best practices. • Experience working with modern developer platforms and internal tooling to improve engineering velocity. Company: Scale AI provides a data-oriented platform that assists in the development of AI applications. Founded in 2016, the company is headquartered in San Francisco, California, USA, with a team of 501-1000 employees. The company is currently Late Stage. Scale AI has a track record of offering H1B sponsorships. Seniority level
Seniority level Mid-Senior level Employment type
Employment type Full-time Job function
Industries Software Development Referrals increase your chances of interviewing at Jobright.ai by 2x Inferred from the description for this job
Medical insurance Vision insurance 401(k) Get notified about new Engineering Manager jobs in
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San Francisco, CA $200,000.00-$260,000.00 4 months ago Engineering Manager, Product and Business
San Francisco, CA $214,500.00-$321,800.00 2 weeks ago Senior Engineering Manager - Data Platform
San Mateo, CA $204,000.00-$255,000.00 2 weeks ago San Francisco, CA $177,000.00-$229,000.00 3 weeks ago We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
#J-18808-Ljbffr