Lead Software Engineer - Reliability Engineering (SRE)

AT&T; Town of Texas (WI); On-site; USD 140,000 - 190,000; Full time

Job summary

AT&T is seeking a Lead Software Engineer to join the Software Reliability Engineering (SRE) Onboarding and automation team. You will drive automation, improve observability, and apply AI-driven capabilities to enhance onboarding and incident prevention.

In this hands-on role, you will design scalable onboarding solutions, maintain the observability platform, and work with cross-functional teams to deliver proactive, smarter issue resolution and client support.

Qualifications

• 5+ years of software engineering, automation, or platform development experience.
• Proficient in Java or similar backend languages.
• Experience building APIs, microservices, and scalable systems.
• Hands-on with CI/CD pipelines, DevOps practices, and cloud architecture.
• Familiarity with observability tools and dashboards.
• Strong collaboration across teams and leadership.
• Interest in AI-driven automation and developer productivity.

Responsibilities

• Design scalable automation to streamline onboarding workflows.
• Enhance and maintain the SRE Intake/observability platform.
• Explore AI-enabled solutions and Azure features to address challenges.
• Be the observability expert for early issue detection and resolution.
• Collaborate with client teams to build customized dashboards and monitors.

Skills

Java

APIs

Microservices

CI/CD

DevOps

Cloud

Observability

Collaboration

AI automation

Tools

CI/CD tooling

Cloud platforms

Observability tools

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.

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Lead Software Engineer - Reliability Engineering (SRE)

Join AT&T and help shape the future of communications and technology. We’re looking for innovators who challenge the status quo and bring bold ideas to redefine connectivity. At AT&T, you won’t just imagine the future, you’ll build it.

We are seeking a highly skilled and hands‑on Lead Software Engineer to join Software Reliability Engineering (SRE) Onboarding and automation team. This role will drive innovation through automation, enhancement of observability platform to improve efficiency, utilize AI capabilities to improve user experience, and enable proactive detection of issues impacting critical business flows.

What you’ll do:

You will play a key role in driving end-to-end onboarding automation, enhancing observability integrations, and delivering intelligent solutions for client support, onboarding management, issue troubleshooting, and outage prevention. You will help shape how teams interact with the observability platform by leveraging automation to improve efficiency, reduce operational overhead, and enable faster, smarter issue resolution.

• Design and implement scalable automation solutions to eliminate manual steps in onboarding workflows
• Enhance and maintain the SRE Intake platform with a focus on usability, performance, and extensibility
• Continuously explore and evaluate new technologies - such as LLMs, agents, and the latest Azure features to find faster and better ways to address business challenges
• Become Observability expert to facilitate early detection and issues resolution
• Collaborate with client teams to build customized dashboards and monitors

What you’ll bring:

• 5+ years of experience in software engineering, automation, or platform development - preferred 8+ years.
• Strong programming skills in Java (preferred) or similar backend technologies.
• Experience building APIs, microservices, and scalable backend systems.
• Hands‑on experience with CI/CD pipelines, DevOps practices, and Cloud architecture
• Familiarity with observability tools
• Strong collaboration skills to works effectively across application, architecture, and leadership teams.
• Passion for innovation, particularly in AI-driven automation and developer productivity

Preferred Qualifications:

• Experience building or integrating AI/ML or intelligent automation solutions.
• Knowledge of SRE practices and production support workflows.
• Experience with frontend technologies and improving UI/UX.
• Exposure to large-scale onboarding or intake systems.
• Familiarity with data visualization frameworks and reporting tools.