Work in partnership with developers, testers, and program managers to design, operate, grow, and improve large-scale, computer-based services
Collaborate to establish appropriate prioritization of Live Site requirements
Influence software engineering team members in translating requirements into service architecture to meet Quality of Service Expectations
Use logic and reasoning to drive behavior, process, and priority decisions
Lead discussions about service architecture
Requirements
Bachelor's Degree in Computer Engineering, Computer Science, Mathematics, Engineering -OR- a combination of equivalent education and work experience
5 or more years of related experience
Experience in automation, specifically related to deployment, recovery, or other manual processes
Experience with n-tier solutions
Experience with resilience modeling (failure mode analysis) and ability to simulate service outages for point solutions (automated) and platforms (manually)
Experience influencing software engineering team members in translating customer and technical requirements into service architecture to meet Quality of Service Expectations
Experience leading and representing the Service in backlog discussions and standups to establish appropriate prioritization of Live Site requirements
Experience leveraging data and metrics to drive behavior, process, and priority decisions. Using logic and reasoning to identify the strengths and weaknesses of alternative solutions, conclusions, or approaches to problems
Experience in problem solving using systematic procedures and investigating problems utilizing root cause analysis
Benefits
Health care benefits (medical, dental, vision)
Life insurance
Disability insurance
Paid parental leave
Paid vacations
Paid holidays
Paid time off for health issues
Retirement 401(k) Savings Plan with employer matching
Voluntary benefits
Well-being resources
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
automationdeploymentrecoveryn-tier solutionsresilience modelingfailure mode analysisservice architectureroot cause analysisdata analysismetrics