Lead System Engineer - Converged Charging Systems (sre-ccs)

AT&T AT&T · Telecom · Plano, TX

This role is for a Lead System Engineer focused on Converged Charging Systems (CCS) and One Mediation apps, requiring current Amdocs experience. It also requires new, evolving Generative AI and Workflow Automation skillsets to drive operational efficiency and scalability, along with a practical understanding of AI/ML concepts for integration into enterprise platforms. The primary focus is on traditional SRE operations with an exploratory element of AI integration.

What you'd actually do

  1. As a Tier 2/Site Reliability Engineer (SRE), you will translate core business requirements into robust, scalable, and reliable technical solutions.
  2. Individual will possess the experience & skills that includes a hybrid of traditional T2/SRE operations technical skills to support our Converged Charging Systems (CCS) and One Mediation apps and new, evolving Generative AI and Workflow Automation skillsets needed to drive operational efficiency and scalability.
  3. Provide technical expertise and best practices for Java, Python, JavaScript, and Perl-based solutions.
  4. The EngOps Tier 2/SRE team ensures applications and systems are highly reliable, scalable, and performant while fostering a collaborative culture between development and operations.
  5. Work with T1 team on incident as Triage lead during outages or critical issues Pager duty issues

Skills

Required

  • Amdocs experience in Converged Charging Systems (CCS)
  • T2/SRE operations technical skills
  • Generative AI skillsets
  • Workflow Automation skillsets
  • Java
  • Python
  • JavaScript
  • Perl
  • AI/ML concepts
  • architecting and building scalable platforms and applications in cloud/data environments
  • Python, Java, Javascript, and Perl based solutions in a SRE role

Nice to have

  • Pager duty

What the JD emphasized

  • current Amdocs experience in Converged Charging Systems (CCS)
  • new, evolving Generative AI and Workflow Automation skillsets
  • Practical understanding of AI/ML concepts