Engineering Manager, Infrastructure

Job summary

<p>At Scale AI, our mission is to accelerate the development of AI applications. For 10 years, Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including: generative AI, defense applications, and autonomous vehicles.

Qualifications

• We stay close to the customer experience, translating real-world deployment challenges into platform improvements, automation, and scalable playbooks that make every future rollout smoother than the last.
• li>At least 5 years of relevant experience and at least 2+ years of experience managing infrastructure or platform teams.</li>
• li>Proven experience with cloud platforms such as AWS, GCP, Azure or OCI.</li>
• li>Proven experience with kubernetes deployments on on-prem infrastructure.</li>
• li>Deep understanding of CI/CD pipelines (e.g., Circle CI, Github Actions), infrastructure-as-code (e.g., Terraform), and container orchestration (e.g., Kubernetes).</li>
• li>Experience managing production environments with high availability, reliability, and scalability
• li>
• li>Familiarity with monitoring, alerting, and incident response best practices.</li>
• li>Experience working with modern developer platforms and internal tooling to improve engineering velocity.</li>
• li>Solid foundation and real-world experience in network engineering</li>
• ul><div class="content-conclusion"><p><strong><em>PLEASE NOTE: </em></strong><em>Our policy requires a 90-day waiting period before reconsidering candidates for the same role.
• This allows us to ensure a fair and thorough evaluation of all applicants.</em></p>

Responsibilities

• li>Define and execute the infrastructure roadmap aligned with business and engineering priorities.</li>
• li>Lead the design and implementation of scalable, secure, and reliable infrastructure systems.</li>
• li>Set and maintain SLAs/SLOs for platform uptime, performance, and developer experience.</li>
• li>Manage the engineering team and drive technical delivery</li>
• li>Design, build, and optimize backend services for advanced AI-driven applications, focusing on AI agents, evaluation tooling, and automation</li>
• li>Influence the culture, values, and processes of a growing engineering team</li>
• li>Inspire and mentor engineers.</li>
• li>Work closely with product, security, and engineering leadership to align on goals and priorities.</li>

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