NICE Principal DevOps Engineer 

United States, Georgia, Atlanta 

251377430

How will you make an impact?

• Analyze system reliability and performance to address and prevent issues.
• Support services before they go live through activities such as system design consulting, developing software platforms and frameworks, capacity planning and launch reviews.
• Maintain services once they are live by measuring and monitoring availability, latency and overall system health.
• Scale systems sustainably through mechanisms like automation and evolve systems by making code and configuration changes that improve reliability and velocity.
• Participate in on-call rotation for service disruptions
• Identify and diagnose infrastructure issues in a live production environment
• Engage in and improve the whole lifecycle of services—from inception and design, through deployment, operation and refinement.
• Practice sustainable incident response, blameless postmortems, and root cause analysis.
• Other duties as the manager assigns

Have you got what it takes?

• BS degree in Computer Science or related technical field involving coding (e.g., physics or mathematics), or equivalent practical experience.
• 8+ years experience designing, analyzing and troubleshooting large-scale distributed systems
• Sustained track record of creating major improvements in large business-critical systems around stability, security, performance, and scalability.
• Experience in one or more of the following: Java, Python, C#, or JavaScript.
• Excellent communication, analytical, and troubleshooting skills
• Ability to work independently, as well as part of a team, on multiple competing projects
• Ability to debug, profile, and optimize code and automate routine tasks.
• Can effectively facilitate cross-team work and are influential far beyond his or her individual group.
• Strong sense of ownership.
• Life-long learner able to quickly grow new frameworks, architectures, and languages

You will have an advantage if you also have:

• Experience running production systems on AWS
• A deep understanding of REST and network programming
• Experience scaling high-traffic SaaS applications
• Deep knowledge of Kubernetes
• Experience with Application Monitoring Metrics (AWS X-Ray, Cloudwatch, Datadog, etc)