Skydio

Staff Site Reliability Engineer

Skydio$240K — $300K *
US-AnywhereRemote in San Mateo, CA
Information Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • 8+ years of experience in Site Reliability Engineering or equivalent role
  • Strong hands-on experience operating Kubernetes, not just deploying applications
  • Experience managing production Kubernetes/EKS upgrades
  • Solid understanding of AWS infrastructure including VPCs and load balancers
  • Proficient with infrastructure as code tools like Terraform
  • Experience maintaining CI/CD systems such as GitHub Actions or Jenkins
  • Ability to diagnose production infrastructure and networking issues

Responsibilities

  • Build, operate, and troubleshoot production Kubernetes/EKS clusters
  • Manage AWS infrastructure including VPCs and load balancers
  • Define infrastructure using Terraform
  • Operate CI/CD and deployment infrastructure
  • Troubleshoot production issues across various platforms
  • Build monitoring and observability for infrastructure
  • Participate in on-call rotations and respond to incidents

Benefits

  • Eligible for group health insurance plans
  • Paid vacation time and sick leave
  • Holiday pay
  • 401K savings plan
  • Equity options in company stock
Full Job Description
About the team:

Skydio's Cloud infrastructure team is here to ensure that the Skydio Cloud platform is always available to our customers when they need it: whether that's performing a routine bridge inspection or it's aiding in rescue operations during a natural disaster. With tens of thousands of drones operating all over the world, we are constantly improving the continuous delivery and deployment of our infrastructure. Our technology helps save lives. You'll play a critical role in keeping the infrastructure behind it reliable, scalable, and available when it matters most.

About the role:

We are looking for a hands-on Staff Site Reliability Engineer to build, operate, and scale the cloud infrastructure that powers our products. This role is focused on owning production infrastructure, including Kubernetes, AWS, infrastructure as code, CI/CD, observability, networking, and reliability.

You don't need to be an expert in every area, but you should have strong Kubernetes and cloud fundamentals with meaningful depth in at least one infrastructure domain.

How you'll make an impact:
  • Build, operate, and troubleshoot production Kubernetes/EKS clusters.
  • Perform Kubernetes upgrades, node rollouts, and cluster maintenance.
  • Build and manage AWS infrastructure including VPCs, networking, subnets, load balancers, IAM, EKS, databases, and storage.
  • Define and maintain infrastructure using Terraform.
  • Build and operate CI/CD and deployment infrastructure.
  • Troubleshoot production issues across Kubernetes, AWS, Linux, networking, and databases.
  • Build monitoring, alerting, and observability for critical infrastructure.
  • Participate in on-call rotations and respond to production incidents.
  • Identify and solve infrastructure scaling and reliability problems.
  • Automate operational work using Python, Go, or similar languages.
  • Help expand infrastructure across new regions and deployment environments.

What makes you a good fit:
  • 8+ years of experience as a Site Reliability Engineer, Platform Engineer, DevOps, Production Engineer or equivalent infrastructure role.
  • Strong hands-on experience operating Kubernetes, not simply deploying applications to existing clusters.
  • Experience managing Kubernetes/EKS upgrades and production clusters.
  • Strong AWS fundamentals, including VPCs, public/private subnets, networking, load balancers, EKS, IAM, and databases.
  • Production experience with Terraform or similar infrastructure-as-code tooling.
  • Experience owning or maintaining CI/CD and deployment systems such as Argo CD, Spinnaker, GitHub Actions, GitLab CI/CD, or Jenkins.
  • Experience diagnosing production infrastructure and networking problems.
  • Experience solving meaningful scaling or reliability challenges.
  • This position requires access to export-controlled technical data, restricted government information, and/or information systems subject to U.S. government security and access-control requirements. Employment in this role is contingent upon verification of U.S. person status and the ability to access controlled or restricted information as required for the position.

Bonus points:
  • Helm and GitOps experience.
  • Datadog or similar observability tooling.
  • PostgreSQL/database operations experience.
  • Multi-region infrastructure experience.
  • On-premises or disconnected deployment experience.
  • Streaming or high-throughput distributed systems experience.

Compensation:

At Skydio, our compensation packages for regular, full-time employees include competitive base salaries, equity in the form of stock options, and comprehensive benefits packages. Compensation will vary based on factors, including skill level, proficiencies, transferable knowledge, and experience. Relocation assistance may also be provided for eligible roles. The annual base salary range for this position is $240,000-$300,000*. Fundamentally, we believe that equity is the key to long-term financial growth, and we ensure all regular, full-time employees have the opportunity to significantly benefit from the company's success. Regular, full-time employees are eligible to enroll in the Company's group health insurance plans. Regular, full-time employees are eligible to receive the following benefits: Paid vacation time, sick leave, holiday pay and 401K savings plan. This position and all associated benefits are subject to applicable federal, state, and local laws, as well as the Company's policies and eligibility criteria.

*For some positions the pay may be dependent upon the individual's regional location.

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About Skydio

Skydio is a leading manufacturer of autonomous drones for consumer and commercial use. The company's drones are equipped with advanced computer vision and artificial intelligence technology, allowing them to navigate complex environments and avoid obstacles. Skydio was founded in 2014 by a team of experts in robotics, computer vision, and artificial intelligence. The company is headquartered in Sunnyvale, California.
Learn more about Skydio
Size
200 employees
Industry
Founded
2014

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