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Engineering Manager II, Runtime Services

Backend Full-time Permanent United States

Job details

Not specified Salary
United States Eligibility
Lead Experience
Full-time Employment

About this role

Role overview Lead a new engineering team responsible for two shared platforms: large-scale asynchronous job scheduling and execution, and tools for anomaly detection, root-cause analysis, and machine-learning monitoring. You’ll set the team’s direction and improve the platforms’ reliability, usability, and efficiency for engineering partners.

Responsibilities - Establish the team’s charter, operating model, and technical roadmap across both platforms. - Improve automation, self-service onboarding, resource efficiency, reliability, and developer productivity. - Work with internal partner teams to understand needs, increase platform adoption, and support better data-informed decisions. - Strengthen observability, service health, incident response, documentation, and engineering practices. - Hire, coach, and develop engineers while building a culture of ownership and continuous learning. - Apply AI to planning, technical exploration, documentation, and operational analysis, checking outputs for accuracy and security.

Requirements - At least nine years of software engineering experience, including substantial work on distributed platforms and backend systems. - At least two years managing engineering teams focused on platforms or highly available backend services. - Strong grounding in platform reliability, observability, cloud infrastructure or Kubernetes, data systems, and developer experience. - Understanding of distributed systems, asynchronous execution, and workflow orchestration, with interest in anomaly-detection methods. - Experience setting technical direction and delivering improvements in scale, operations, adoption, or engineering velocity. - Clear communication, sound technical judgment, and a people-focused leadership style; able to validate AI-assisted work. - Bachelor’s or master’s degree in computer science or a related field, or equivalent practical experience.

Benefits and work setup The role can be based anywhere in the United States and requires in-person collaboration one to two times per quarter. Relocation assistance is not available. The position is eligible for equity; the stated U.S. base salary range is $208,592–$429,454.

Skills detected in the listing

KubernetesMachine Learning
Detected Nov 5, 2026
Last verified Nov 12, 2026

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