Site Reliability Engineer - Top Secret Clearance

Responsibilities

• Develop automation to deploy and manage applications both on-premises and in the cloud
• Deploy and manage core infrastructure technologies such as applications servers, databases, messaging queues and storage
• Install, manage, scale and optimize Kubernetes and RKE clusters using Ansible and adjacent technologies in production environments
• Closely collaborate with software engineers to create highly scalable, operable and maintainable products
• Closely collaborate with IT and software engineers to develop test automation suite leveraging DevOps infrastructure
• Engage in and improve the whole lifecycle of services -- from inception and design, through deployment, operation and refinement
• Work closely with other SpaceX engineers to gather requirements, research, evaluate, design, plan, deploy, and support software platforms and related technologies running in Kubernetes within a world-class environment that meets the needs of the demanding SpaceX engineering teams
• Build highly resilient, high-performance, scalable, and robust systems
• Exercise a high degree of personal responsibility for the processes, systems, and tools you create and manage; all supporting the goal of making humanity a multiplanetary species

BASIC QUALIFICATIONS

• Bachelor’s degree in computer science, information systems, or an engineering discipline; OR 2+ years of professional experience in software, DevOps, or site reliability engineering in lieu of a degree
• 1+ year of experience with Linux operating systems
• Experience in Bash, Python, or other scripting languages
• Active Top Secret, Top Secret SCI, or DOE Level Q clearance

PREFERRED SKILLS AND EXPERIENCE

• 1+ years of systems administration, site reliability engineering, or DevOps experience
• Experience with containerization technologies (i.e. Docker, Kubernetes)
• Experience with the Linux shell as well as configuring and extending Linux instances (e.g. kernel modules, Control Groups, Public Key Infrastructure, iptables, interfaces).
• 1+ years of experience with Python and Python-based development frameworks
• Strong understanding of Kubernetes, Docker, or similar technologies
• Strong understanding of message queue technologies such as RabbitMQ or Kafka
• Strong understanding of virtualization and hypervisor technologies
• Understanding of databases and performance tuning
• Experience with identity management and authentication protocols
• Focus on performance bottlenecks and performance improvement techniques
• Excellent communications skills with the ability to communicate with customers, peers, management etc. in both formal and informal situations
• Able to quickly learn new tools and frameworks
• Experience with dynamic system configuration templating using Jinja, YAML and Helm