Reliability Engineer

• Bachelor's Degree or equivalent experience in a technology related field (e.g. Computer Science, Engineering, etc.) required.
• Production experience running Cloud and on-prem Storage workloads at scale
• Experience managing and maintaining Kubernetes Clusters on EKS/AKS and RKS.
• Demonstrates a drive for continuous improvement and enjoys tackling complex problems.
• Experience managing and interpreting large datasets using query languages and visualization tools(PowerBI/tableau),
• Experience in software development with Python, NodeJS, or Java with a focus on SDLC and automation
• 5 -7 years of hands-on experience deploying and/or supporting highly distributed multi-tiered systems at scale.
• Experience building and deploying Docker images including Docker Compose
• Hands-on experience with Jenkins Core, including authoring and maintaining declarative CI/CD pipelines and libraries
• Experience with distributed version control systems, Git preferred
• Experience crafting and maintaining logging, monitoring, and alerting capabilities using tools like Datadog and Splunk
• Practical experience in building cloud hosted and native applications for the enterprise. Maintains a deep understanding of a wide variety of AWS/Azure services that support reliability, observability, and automation/orchestration.
• Experience in incident/crisis management and supporting critically important applications

qualifications:

Hands on experience with one or more observability tools (Prometheus, Grafana, ELK/OpenSearch, OpenTelemetry, Datadog, etc.)

Ability to automate with various scripting languages (Python, Shell scripting, etc.)

Experience managing systems using infrastructure as code tools (IAM, ARM, Terraform, Chef)