Previous Job
Java Performance Engineer
Ref No.: 18-28703
Location: Seattle, Washington
Start Date: 05/01/2018
Primary Skills
Java Performance Engineer
P4 - Java Enterprise Edition
P3 - Enterprise Systems Monitoring Tools
P3 - Performance Engineering
P3 - Root cause analysis
Role/Skills Description
  • Build tools to quickly triage issues and Client failures across hardware, software, applications and network
  • In-depth analysis of service trends and implements adjustments to mitigate risk and prevent issue recurrence •
  • Maintain production systems by measuring and monitoring availability, latency and overall system health •
  • Provide guidance to software engineers related to design patterns that are resistant to failure •
  • Support 24x7 on-call response to critical operational issues Basic Qualifications •
  • Strong technical knowledge of digital environment full stack including Mobile, Web, APIs, Messaging, Databases, Networks and their interactions •
  • Knowledge and understanding of the SDLC principals and key controls •
  • Experience working with and contributing to open source code or frameworks using Git version control •
  • Strong knowledge of AWS Cloud solutions and product offerings •
  • Experience with container technologies (i.e. Docker, Kubernetes) •
  • Strong understanding of monitoring methodologies and proactive monitoring using APM (i.e. AppDynamics, New Relic) solutions or other monitoring and instrumentation technologies •
  • Required knowledge and understanding of technical architecture, application systems design and integration in a large heterogeneous enterprise environment with hands on experience in SOA, Angular/Node, Java/J2EE, Oracle or MySQL/MariaDB programming methodologies • Experience working in an Agile environment (i.e. Scrum, Kanban)
Preferred Qualifications •
  • 3+ years programming in oxne or more of: Java, Node, Python, Perl or C •
  • 2+ years UNIX systems knowledge and/or systems administration background •
  • Interest in designing, analyzing and troubleshooting large-scale distributed systems •
  • Systematic problem-solving approach, coupled with strong communication skills and a sense of ownership and drive •
  • Experience debugging, optimizing code and automating routine tasks