Site Reliability Engineer

Leads as an Incident Commander to coordinate failure recovery for large or complex systems. Leads in the solution of division-wide complex problems for resiliency, reliability, and security by identifying and organizing necessary resources. Acts as technical advisor. Leads in the development of Service Level Objectives over multiple parts of the system. Evaluates and implements enhancement design solutions to improve cost, quality, performance, and security of software applications. Evaluates and implements enhancement design solutions for gathering metrics for cost, quality, performance and security of software applications. Develops and maintains knowledge of industry and technical innovations in the technical discipline. Executes necessary support and playbook documentation, as directed, or needed. Collaborates with other site reliability engineers and product team members to ensure that features meet business needs. Leads problem post mortems in order to understand issues, learn from issues, and share any changes in automation, recovery, and documentation with other site reliability engineers. AWS Cloud Services, Kubernetes, Datadog, Terraform, multiple possible coding frameworks may include Java, Java(Scala), JavaScript, .NET, Go, Python and others are used in the environment.

Degree in an Engineering/Technology discipline or equivalent experience. - University Degree (4 years or equivalent) Degree in an Information Technology discipline or equivalent experience. - University Degree (4 years or equivalent) Work Experience:

• Previous experience in programming/software development. (4 - 7 years)
• Software development processes experience. (4 - 7 years)
• Product design, test and/or analysis experience. (4 - 7 years)
• Participating in Agile Development (4 - 7 years)
• Experience working in an Agile Environment (4 - 7 years)

In addition to technical skills, candidates must have strong communication skills. Deep and broad understanding of technology and develops creative solutions for resiliency, reliability, and security for applications. Has a strong ability to anticipate product failure and automate solutions for failure modes and recovery.