Principal Software Engineering

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.

AT&T will not hire any applicants for this position who require employer sponsorship now or in the future.

Join AT&T and reimagine the communications and technologies that connect the world. 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.

A Principal Software Engineering is a high-level, experienced professional who plays a pivotal role in an organization's software development lifecycle and overall technical strategy. They are responsible for driving the adoption and implementation of DevOps principles and practices, encompassing both technical expertise and strong leadership abilities. 

Key Roles and Responsibilities:

Technical leadership and architectural vision

• DevOps Strategy:

  • Defining and implementing the overall DevOps strategy, including design, architecture, and tool selection

• Automation:

  • Leading the implementation of automation across the development lifecycle (build, test, deployment, monitoring) to improve efficiency and reduce manual errors

• Infrastructure as Code (IaC):

  • Designing, implementing, and managing infrastructure as code solutions using tools like GitLab CI/CD and Terraform

• Cloud Infrastructure:

  • Architecting and implementing scalable, reliable, and secure cloud infrastructure on platforms like AWS or Azure

• CI/CD Pipelines:

  • Developing and maintaining robust CI/CD pipelines to automate the build, test, and deployment of applications

• System Reliability and Scalability:

  • Implementing Site Reliability Engineering (SRE) principles to enhance system reliability, availability, and performance

• Monitoring and Optimization:

  • Implementing monitoring and observability solutions to ensure optimal system performance and cost efficiency

• Security:

  • Integrating security practices (DevSecOps) into every stage of the development and deployment pipeline, including vulnerability scanning and remediation plans

Team leadership and mentorship

• Collaboration and Communication:

  • Fostering a culture of collaboration and communication between development, operations, and other teams involved in the software delivery process

• Mentorship and Guidance:

  • Guiding and mentoring junior DevOps team members, ensuring their continuous learning and skill development

• Cross-Functional Leadership:

  • Directing and influencing collaboration across various departments (e.g., engineering, analytics, infrastructure, cybersecurity)

• Technical Advice:

  • Providing expert advice on DevOps strategies and implementations, including conducting workshops and training sessions for team upskilling

Problem-solving and innovation

• Problem Identification and Resolution:

  • Identifying production stability concerns, designing and developing remediation plans, and troubleshooting complex issues related to cloud infrastructure, services, and applications

• Process Improvement:

  • Continuously evaluating existing processes, identifying bottlenecks, and proposing improvements to enhance overall efficiency

• Innovation:

  • Evaluating and recommending advancements in DevOps, new infrastructure, and tools to drive innovation

• Cost Optimization:

  • Identifying opportunities to optimize resource usage and reduce costs within the DevOps environment

Required Experience:

• 8-10 years’ experience; Technical Career Pathway (TCP) role

Required Qualifications:

• Technical Expertise:

  • Proficiency in programming and scripting languages (e.g., Python, Bash)

  • CI/CD & Automation: Expertise in building robust CI/CD pipelines, automating testing and deployments, and optimizing workflows, potentially using tools like Jenkins, GitHub Actions, and Azure DevOps

  • Expertise in containerization technologies (e.g., Docker, Kubernetes)

  • Strong understanding of cloud platforms (e.g., Azure, AWS, Google Cloud) and their services

  • Infrastructure as