Senior Specialist Member of Technical Staff

AT&T AT&T · Telecom · Plano, TX

This role involves driving R&D, integrating emerging technologies, and developing innovative systems. It requires experience in Python, Java, C/C++, cloud platforms, network protocols, big data tools, and applying Data Science principles including AI learning models and clustering. The role focuses on detailed system design, implementation from concept to production, and writing prototype code for data analysis.

What you'd actually do

  1. Drive Research and Development initiatives, integrate emerging technologies, and collaborate with cross-functional teams to align technical solutions with business needs.
  2. Provide strategic direction and leadership to develop and implement innovative, scalable, and robust systems aligning with organizational goals.
  3. Serve as subject matter expert during the continuous integration/continuous deployment cycle in a production environment focused on complex design, engineering and development.
  4. Lead complex projects from inception to implementation and foster a collaborative team environment.
  5. Conduct quantitative, algorithmic and theory-based analysis for addressing business issues in information extraction and synthesis, data mining, data visualization, network design and optimization, market and financial analysis, operations research, and decision support systems.

Skills

Required

  • Python
  • Java
  • JavaScript
  • C/C++
  • Cloud technologies (KVM, Containers, Docker, Azure)
  • Network protocols (IPAM, DNS, DoH, DoT, DHCP, Radius, Routing, snmp, SQL)
  • Frameworks (ReactJS, bootstrap, node.js, Django)
  • Linux-based OSes (Ubuntu, Rocky Linux, Red Hat)
  • Big data platforms and analytics tooling (Databricks, PowerBI, Snowflake)
  • Data Science principles (data modeling, scrubbing, AI learning models, clustering)
  • System design and implementation
  • Prototype code/script writing for data analysis

What the JD emphasized

  • utilizing development experience in Python, Java, JavaScript, C/C++
  • using Cloud technologies and platforms, (KVM, Containers, Docker, Azure)
  • utilizing Network protocols and technologies: IPAM, DNS, DoH, DoT, DHCP, Radius, Routing (BGP, OSPF), snmp, SQL, at the protocol and implementation level
  • applying frameworks such as ReactJS, bootstrap, node.js, Django
  • utilizing knowledge of Linux-based OSes (Ubuntu, Rocky Linux, Red Hat)
  • using big data platforms and analytics tooling (Databricks, PowerBI, Snowflake)
  • applying Data Science principles (data modeling, scrubbing, AI learning models, clustering)
  • using detailed system design and plan implementation through multiple iterations from concept to production
  • writing prototype code or scripts to analyze data or create prototypes and guide other developers

Other signals

  • AI learning models
  • prototype code or scripts to analyze data or create prototypes