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Site Reliability Engineer

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Role: Site Reliability Engineer Location: Seattle WA 12 months Contract
Job Description
Azure Clous, AKS Scalability, monitoring, deployment, check logs, ensure node and pod health.

Databases include - Cassandra, Mongo, PostGres

Databricks Notebooks

Based microservices, responsible for deployment, scripting language is python.

Should have an understanding around terraform.

Emphasis on Logs and Monitoring (datadog and splunk)

Summary of Experience

  • Requires 10-12 years experience in the IT industry
  • Requires 9+ years of software and DevOps development engineering
  • Experience in working with cloud environment Azure preferred.
  • Experience with Kubernetes, Azure Kubernetes (AKS) preferred.
  • Experience with using Kafka, Event Hub, NATS or any messaging broker.
  • Experience with Cassandra, PostgresSQL, Mongo, Elastic Search, Cosmos DB
  • Experience on Azure DevOps, Jenkins/ Python / Terraform / Ansible
  • Experience with Databricks
  • Experience with DataDog, Splunk or other logging and APM tools.
  • Experience in working with Linux environment.

Summary of Key Responsibilities

  • Responsible for health of production system
  • Develop monitoring dashboards
  • Configure alerts and automate process for system recovery
  • Monitor alerts and take proactive steps to resolve system issues
  • Troubleshoot production issues
  • Lead production troubleshooting calls
  • Responsible for patches and updates on production systems.
  • Design and build cutting-edge, multi-micro service solutions to support Starbucks s growth worldwide.
  • Helping CI/CD team during rolling out application and infrastructure globally.
  • Collaborates with development team, other Information Technology (IT) team s developer leads. Initiates process improvements for new and existing systems.
  • Participates in a production support rotation that includes pager responsibilities.
  • Ability to accurately break down complex application designs into component deliverables and estimate design and development timelines
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
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