Lead an infrastructure engineering team deploying and operating AI-powered enterprise SaaS platforms. Own roadmap, SLAs, and production reliability while mentoring engineers and collaborating cross-functionally.
216k – 270k/yr
On-site5+ YOEEngineering Management
About the role
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.
Compensation & Benefits
Base salary range: $216,000–$270,000 USD.
Equity-based compensation.
Comprehensive health, dental and vision coverage.
Retirement benefits.
Learning and development stipend.
Generous PTO.
Commuter stipend (role-dependent).
Skills
AWSGCPAzureCI/CDTerraformPulumiKubernetesInfrastructure As CodeMonitoringIncident Response
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