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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.
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.
Handle live production incidents and lead debug/troubleshooting including RCA.
Define and Implement SLO/SLI standards, Error Budgets.
Communicate and collaborate with stakeholders.
**Qualifications**:
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.
