Lead Software Release Engineer

Job Description:

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.

We are seeking a highly skilled and experienced Lead Software Release Engineer with extensive knowledge in Release Management and DevOps. The ideal candidate should possess the ability to work effectively with organizational leaders, effectively communicating status updates on programs and projects. Experience with tools such as Python scripting, Jira, iTrack & Confluence are required. Experience in SharePoint, PowerPoint, Wiki, and the ability to create Power BI dashboards is highly desirable. 

What You’ll Do: 

• Design, build, and maintain CI/CD pipelines using Jenkins, Azure DevOps, and Git workflows to automate build, test, and deployment. 

• Coordinate and execute release activities, managing dependencies, risks, and schedules across teams. 

• Troubleshoot deployment issues, perform root cause analysis, and facilitate fixes to ensure reliable releases. 

• Maintain release documentation, manage processes, and continuously recommend improvements. 

Key Qualifications: 

DevOps Experience

• Demonstrated hands-on experience with DevOps practices, tools, and workflows (such as CI/CD pipelines, infrastructure as code, automated testing, monitoring, and deployment).
• Proficiency with tools like Jenkins, Azure DevOps, GitLab CI/CD, GitHub Actions, or similar platforms.
• Experience managing and optimizing deployment pipelines for cloud and on-premises environments.
• Solid understanding of release orchestration, version control systems (e.g., Git), and branching strategies.
   

Automation Skills

• Strong background in automating manual processes and workflows using scripting languages or automation frameworks (e.g., PowerShell, Bash, Python, Ansible, Terraform, etc.).
• Ability to design, implement, and maintain automation solutions for build, release, and environment management.
• Proven experience in reducing manual intervention and improving reliability through automation.
   

Artificial Intelligence (AI) Experience

• Practical experience applying AI tools or platforms to streamline, optimize, or enhance DevOps, release management, or operational workflows (excluding machine learning).
• Hands-on experience integrating AI-driven solutions (such as chatbots, intelligent assistants, predictive analytics, or generative AI) into automation or software delivery processes.
• Familiarity with AI platforms and services (e.g., Azure AI, AWS AI Services, Google AI, OpenAI, or similar).
• Understanding of prompt engineering or using generative AI for code generation, documentation, or process automation is a plus.

Technical Proficiency: 

• Comprehensive understanding of various SDLC phases and how releases fit into the overall process. 

• Experience with Continuous Integration and Continuous Deployment tools and processes. 
   

Technical Skills:  

• Proficiency in Python scripting and tools such as Jenkins, Git, Kube