Lead Software Engineer - Full Stack

This position requires office presence of a minimum of 5 days per week and is only located in the posted location(s). No relocation is offered. AT&T will not hire applicants who require employer sponsorship now or in the future.

About the team

AT&T is building new engineering teams focused on advancing emerging technologies, next-generation infrastructure, and modern software development practices. As part of a strategic Containers/Kubernetes Everywhere initiative, we are expanding our platform engineering capabilities to simplify application deployment, accelerate modernization efforts, and enhance the developer experience across the enterprise. This team is responsible for building scalable, secure, and reusable container-based solutions that enable development teams to rapidly deliver software while maintaining operational excellence, security, and compliance standards.

Responsibilities

• Design, develop, and support container-based platform solutions that improve developer productivity and accelerate software delivery.
• Build and maintain Kubernetes platform capabilities, reusable deployment patterns, and automation frameworks.
• Develop and optimize CI/CD pipelines that support secure, scalable, and efficient application deployment.
• Create and maintain Helm charts, deployment templates, and platform automation tools.
• Partner with application development teams to improve onboarding, self-service capabilities, and adoption of containerized solutions.
• Implement security best practices across containerized and Kubernetes environments, including vulnerability management and compliance controls.
• Support platform reliability, performance optimization, and operational excellence initiatives.
• Collaborate with cross-functional teams to drive cloud-native engineering standards and platform modernization efforts.
• Troubleshoot complex issues within containerized environments and implement long-term solutions.
• Evaluate emerging technologies and contribute to continuous platform innovation.

Requirements

• 5+ years experience developing enterprise software applications using Java.
• Advanced Bash scripting, Linux OS internals & the boot chain, Containers / OCI.
• Podman, CI/CD pipeline engineering, Python.
• Knowledge of different flavors of Linux (RHEL, Rocky, CentOS, Ubuntu etc), Packer.
• Strong AI assisted delivery mindset.
• Hands-on experience building and supporting Kubernetes environments (Azure Kubernetes Service (AKS)).
• Strong experience with Helm for Kubernetes application packaging and deployment.
• Experience designing and implementing CI/CD pipelines.
• Understanding of containerization concepts and modern software delivery practices.
• Knowledge of infrastructure automation and DevOps methodologies.
• Strong troubleshooting, analytical, and problem-solving skills.
• Excellent communication and collaboration skills.
• Demonstrated commitment to learning new technologies and adapting in a fast-paced, evolving environment.

Preferred Qualifications

• Bachelor's degree in Computer Science, Computer Engineering, Information Systems, or a related discipline, or equivalent experience.
• Strong knowledge of Docker and Docker Compose.
• Experience with Terraform and Terraform Cloud.
• Experience with GitHub Actions, GitLab CI/CD, and DevOps automation.
• Experience with API Development and API Security.
• Experience implementing container security solutions and controls.
• Knowledge of container security and vulnerability management tools including:
  • Aqua Security
  • Qualys
  • Trivy
  • Snyk
• Experience conducting vulnerability assessments, security remediation, and risk mitigation activities.
• Knowledge of Kubernetes performance optimization and observability practices.
• Experience securing Kubernetes clusters and workloads.
• Experience with service mesh technologies.
• Experience supporting enterprise developer platforms and platform engineering initiatives.
• Familiarity with evaluation, monitoring, logging, and observability frameworks.
• Experience leveraging Generative AI tools, including GitHub Copilot and prompt engineering techniques, to improve engineering productivity.
• Experience working in Agile environments utilizing Jira Cloud.