Lead Member of Technical Staff (RSD03202)

Job Description:

This position requires office presence of a minimum of 5 days per week and is only located in the location(s) posted. No relocation is offered.

Join AT&T and reimagine the communications and technologies that connect the world. Our Consumer Technology experience team is delivering innovative and reliable technology solutions to power differentiated, simplified customer experiences. Bring your bold ideas and fearless risk-taking to redefine connectivity and transform how the world shares stories and experiences that matter. When you step into a career with AT&T, you won’t just imagine the future-you’ll create it.

AT&T Advanced Technical Support – System Engineering is seeking a Lead Member of Technical Staff with expertise in the strategy, design, development, and implementation of projects in the cloud.

The ideal candidate is experienced in cloud-based technology, with a grasp of emerging technologies, platforms, and applications. You must have the ability to customize cloud technologies to help our customers become more secure and efficient.  Supporting innovative end-to-end integrated systems engineering solutions of worldwide cloud platforms. Collaborating with cloud vendors to plan, design, and implement cloud-based network functions / services.

Key roles and responsibilities:

• Possess troubleshooting skills with an emphasis on operational automation coding skills with a passion for operating Internet-facing, as well as internal, infrastructure at scale with zero downtime

• Establish operational aspects of the infrastructure throughout the entire development life cycle

• Designing, developing infrastructure as a code, automating deployment, operations, and monitoring processes

• Collaborating with engineering and development teams across multiple geographies to evaluate and identify optimal cloud solutions (workload placement, packet forwarding-method, on-prem vs public vs. hybrid)

• Implementing infrastructure as code practices integrated with CI/CD processes and tools

• Contribute to technical efforts and expertise in the following areas, with familiarity with other technologies, is a must: Networking, Network Operations and Processes, Operations tooling, Systems

• Platforms, Network Function requirements, SW development (especially around network and/or cloud functions), IP Networking, and SDN

Required Experience:

• 5+ years’ experience of relevant work experience; Technical Career Pathway (TCP) role

Required Education:

• Bachelors in an approved field with a minimum of 4 years of relevant experience, Masters in an approved field with a minimum of 2 years of relevant experience or a PhD in an approved field with no minimum years of relevant experience

Note:  Computer Engineering, Electrical Engineering (with programming skills/experience), or Computer Science (with hardware skills/experience) or the equivalent combination of education, training, certifications, and/or work experience

Desired Technical Qualifications and Experience:

• Proficiency in scripting languages such as Python or PowerShell

• Linux expertise, including kernel tuning, virtualization, and storage optimization

• Strong troubleshooting skills across cloud and internet infrastructure (e.g., firewalls, load balancing, networking, server performance)

• Excellent problem-solving, teamwork, and communication skills for both technical and non-technical audiences

• Ability to work effectively in cross-cultural teams, fostering trust and collaboration

• Hands-on experience with Microsoft Azure (preferred over AWS)

• Understanding of Golang as a programming language for building automation and backend services

• Expertise in deploying workloads into Kubernetes using Helm

• Experience with Bicep for Infrastructure as Code (IaC); Terraform

• Hands-on experience with Ansible for configuration management

• Good understanding of Git workflows, including pull request best practices and industry standards

• Knowledge of ArgoCD and GitOps principles

• Understanding of Elasticsearch, including end-to-end usage and optimization.

• Experience developing and tuning Logstash pipelines to consume data from sources like Kafka.

• Building Elasticsearch transformation pipelines to enrich data during ingestion

• Familiarity with managing Apache Airflow and building efficient DAGs for ETL processes

• Experience with ETL pipelines to move data into Elasticsearch

• Experience with Docker Containers and Kubernetes

• Familiarity with