Must Have Technical/Functional Skills:
2+ years of experience in Site Reliability Engineering, DevOps, Infrastructure Engineering, or a related role supporting cloud-based production environments.
Practical vulnerability-management experience; familiarity with Qualys, JFrog Xray, SCA/SBOM, or equivalent tooling; and working knowledge of dependency-management for Ruby/Bundler, Python/pip, and Go modules. Experience with direct versus transitive dependencies, version constraints, lockfiles, go.mod/go. sum, and verifying the effective version shipped in a built artifact.
Experience developing and maintaining infrastructure automation using Ansible.
Experience administering and troubleshooting Linux-based systems and distributed infrastructure environments.
Experience designing, implementing, and maintaining CI/CD pipelines, including GitLab CI.
Experience supporting large-scale infrastructure environments consisting of hundreds or thousands of systems.
Available to be online from 9am-4pm PST.
Roles & Responsibilities:
Develop and maintain automation solutions that improve the reliability, scalability, security and operational efficiency of infrastructure and processes for the hosts in our FedRAMP cloud environments, as well as new innovations that allow us to adjust to changing compliance requirements. Design and enhance deployment pipelines, testing frameworks, and operational tooling to support the continued growth of a platform serving a rapidly growing number of managed devices worldwide. Troubleshoot complex infrastructure and distributed systems issues to ensure high availability while helping teams adapt their infrastructure, applications and processes to FedRAMP controls and requirements. Contribute to critical projects such as refactoring our deployment process, and new cluster build outs by building automation that enables manual toil reduction, as well as rapid and repeatable processes for new purpose-built cloud environments. Partner with other engineering teams, product management, and business partners across multiple teams and time zones to understand platform dependencies, seek opportunities for improvement, and deliver solutions that enhance reliability and performance while reducing operational overhead.
Good to Have:
Familiarity with AWS or other public cloud platforms and hybrid infrastructure environments.
Knowledge of monitoring, observability, and reliability engineering practices and tooling.
Familiarity with Kubernetes concepts and containerized application platforms.
Experience leveraging AI-assisted development tools to improve software development, automation, operational analysis, and engineering productivity.
Experience managing fleet wide software deployments
Experience providing support and priority incident triage.
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