Principal System Engineering

AT&T AT&T · Telecom · Plano, TX

This Principal System Engineering role focuses on designing and implementing a comprehensive Performance Engineering framework for consumer technology applications. Responsibilities include cloud platform management, performance test strategy design, automated performance testing within CI/CD pipelines, root-cause analysis, and chaos engineering experiments. The role requires experience in automated performance validation, microservices, containerization, and Java development.

What you'd actually do

  1. Responsible for partnering with the various Consumer Technology Experience (CTx), Development, Operations/Infrastructure, and Solution Architect teams in designing a comprehensive Performance Engineering framework based on the needs of the business.
  2. Responsible for planning, designing, and rolling out Performance Engineering Test solutions to avoid disruption and re-engineering costs through the early detection of defects by helping build Performance at the onset of a project.
  3. Directly responsible for cloud platform planning, creation, & maintenance of applications residing on our public cloud instances
  4. Design robust Performance Test Strategies that will validate impact of changes to performance of individual applications as well as the consumer technology ecosystem.
  5. Design and implement automated Performance Testing in the CI/CD pipeline.

Skills

Required

  • performance engineering
  • cloud platform
  • CI/CD pipeline
  • microservices architecture
  • containerization technologies (Docker, Kubernetes)
  • Java
  • automated performance testing tools
  • stakeholder interaction
  • gap analysis
  • root-cause analysis
  • chaos engineering
  • Gremlin tool

Nice to have

  • service virtualization
  • mock server
  • ELK
  • Dynatrace

What the JD emphasized

  • automated Performance validation in the software delivery through the CI/CD pipeline
  • microservices architecture and containerization technologies like Docker and Kubernetes