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Production Engineer II

Production Engineer II

CompanyYahoo
LocationUnited States
Salary$111000 – $231250
TypeFull-Time
DegreesBachelor’s, Master’s
Experience LevelMid Level

Requirements

  • BS in Computer Science or equivalent degree
  • At least 3 years experience in DevOps/ PE / SRE and Software Development roles
  • At least 3 Years of experience in at least one of the web technologies like Apache, Jetty, Tomcat
  • At least a year of experience in containerization and orchestration technologies (e.g. Docker, Kubernetes), cloud platforms like AWS
  • Intermediate level of coding expertise in one or more language including Java, Nodejs, Python, or Go
  • Experience with building CI/CD pipelines, git
  • Deep understanding of UNIX/Linux system internals and tools for troubleshooting application stack dumps and networking
  • Good knowledge of TCP/IP and networking

Responsibilities

  • Manage production environment at vast scale and their associated infrastructure and tools
  • Support the operability roadmap to improve the availability, performance, scalability and efficiency of the services by implementing monitoring, automation, redundancy, capacity and business continuity planning
  • Work on challenging system and network problems to improve system performance and reliability
  • Implement and maintain monitoring to provide complete transparency to application and system state, history, trends and insights
  • Participation in on-call rotation – drive incident resolution, live troubleshooting and impact mitigation

Preferred Qualifications

  • MS in Computer Science
  • Experience in designing, managing large scale infrastructure in AWS EKS, AWS Open search, multi zone, multi region deployments
  • Experience working with IaC (ex. Terraform)
  • Experience working with GitHub Actions
  • Experience in ATS is a plus
  • Experience with system reliability tools like Open telemetry, Prometheus, Splunk, ELK
  • Experience with large data processing and storage solutions like Storm, Spark, Hadoop Map/Reduce, Pig, Oozie, REDIS, DynamoDB, Cassandra