Description
At Scale AI, our mission is to accelerate the development of AI applications.
We are looking for a Deployment Engineering Manager to help shape the future of AI-powered applications.
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.
Requirements:
- At least 5 years of relevant experience and at least 2+ 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.
The base salary range for this full-time position in San Francisco and New York is: $216,000-$270,000 USD.
Benefits include comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO.
This listing is enriched and indexed by YubHub. To apply, use the employer's original posting:
https://job-boards.greenhouse.io/scaleai/jobs/4568601005