Teradata Cloud seeks a Sr DevOps Engineer to build and operate highly scalable, fault tolerant, and secure systems in a distributed system highly distributed and dynamic Hybrid Cloud environment.

Roles and Responsibilities

• Define standards for metrics, logs and alerts across all cloud infrastructure and micro-services.
• Partner with Engineering, Infrastructure, Support teams, stake holders and define monitoring standards for best performance, scalability, reliability and resiliency
• Analyze utilization patterns, incidents and implement betterment solutions.
• Reduce MTTR and MTTD's with Observability.
• Build Customer, infrastructure, application performance dashboards.
• Develop automation for deployment, troubleshooting, managing of Observability tools with a goal towards self-service.
• Create and maintain technical documentation as well as project plans.
• Create and maintain knowledge base and runbooks.
• Support of Observability tools and technologies in a 24/7 Production Environment.
• As part of a regular on-call rotation, handle live production incidents and lead debug/troubleshooting including RCA
• Define and Implement SLO/SLI standards, Error Budgets.
• Communicate and collaborate with stakeholders.

Qualifications

• 3 years of experience
• Solid understanding of Cloud infrastructure - AWS, Azure and GCP
• Practical knowledge of Python, Terraform, Jenkins, GIT
• Knowledge of Operating systems (linux), TCP/IP, HTTP and micro-services (Kubernetes).
• Experience with Observability tools like Datadog (preferred) or New Relic or similar tool.
• Experience in building Dashboards, Monitors, RCA.
• Working knowledge of Distributed systems.
• Trouble shooting and analytical skills.
• Excellent communication, documentation and presentation skills.
• Bachelor's Degree in Computer Science Engineering or equivalent.