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Senior Engineering Manager, Infrastructure

Lead and grow the Software Infrastructure team responsible for Skydio's core AWS and Kubernetes platform, SRE, observability, and deployment systems supporting enterprise and government drone customers.

200k – 275kSan Mateo, CAEngineering ManagementHybrid5+ YOE

About the role

Responsibilities

  • Lead the architecture and operation of Skydio’s core AWS and Kubernetes infrastructure, including workload security, deployment systems, scaling, and platform reliability
  • Raise the bar on infrastructure security and operational excellence to ensure Skydio remains a trusted platform for enterprise and government customers
  • Hire, mentor, and grow a high-performing infrastructure engineering team
  • Engage directly with customers and security stakeholders to explain Skydio’s security posture, infrastructure architecture, and operational practices
  • Participate in incident response and operational leadership alongside the infrastructure team
  • Collaborate closely with engineering leadership across the Cloud organization to evolve platform capabilities
  • Own and evolve the self-hosted variant of Skydio Cloud, enabling customers to deploy and operate the platform within their own environments

Team Focus Areas

  • Site-Reliability Engineering: designing, deploying, and operating highly available infrastructure across multiple cloud providers and regions
  • Observability: building tooling, visibility, and operational practices that enable engineering teams to operate autonomously
  • Software Deployment Lifecycle: improving speed from idea to production without sacrificing availability and security
  • Cloud-to-Drone Infrastructure: building reliable systems that enable drones to communicate with the cloud and transfer mission-critical data

Requirements

  • Proven ability to lead highly technical teams while remaining effective in hands-on architectural and operational discussions
  • Experience partnering with security, compliance, and customer-facing teams in regulated environments
  • Strong communication skills with the ability to engage directly with enterprise and government customers
  • Deep experience architecting and operating Kubernetes platforms on AWS and/or GCP
  • Strong expertise in observability, incident response, and performance analysis across distributed systems and databases
  • Comfortable operating in fast-moving environments with high ownership and accountability
  • Comfortable leveraging AI-assisted development workflows to improve engineering velocity, infrastructure operations, and software quality

Compensation & Benefits

  • Annual base salary range: $200,000 - $275,000
  • Equity in the form of stock options
  • Comprehensive benefits including group health insurance, paid vacation, sick leave, holiday pay, and 401K savings plan
  • Relocation assistance may be provided

Skills

KubernetesAWSGCPSite Reliability EngineeringObservabilityIncident ResponseDistributed SystemsInfrastructure SecurityCloud ArchitecturePerformance Analysis

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