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 – 275k/yr
Hybrid5+ YOEEngineering Management
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
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