Lead Software Engineering – Cloud Security Platform; Test Strategy
Listed on 2026-03-01
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IT/Tech
Cybersecurity, AI Engineer
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 Chief Security Office ensures that our assets are safeguarded through truthful transparency, enforce accountability and master cybersecurity to stay ahead of threats. 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. About this Position At AT&T, secure, cloud-first technology is the foundation of our future. As a Lead Software Engineer, Test Strategy in our Chief Security Office (CSO), you’ll play a critical role in protecting millions of customers and the infrastructure that powers our world.
You’ll drive the technical excellence of our testing and QA engineering, ensuring our cloud security platforms are robust, innovative, and ready for tomorrow’s challenges. What You’ll Do
Innovate with Automation, AI, and Agentic Systems:
- Interpret product requirements/user stories and generate test plans and traceability
- Create, execute, and self-heal automated functional tests (UI/API) using tool-integrations
- Dynamically explore applications under test (guided exploratory testing) and propose new test cases based on observed behavior
- Triage failures by correlating logs, traces, screenshots, network calls, and recent code changes
- Recommend fixes (or draft PR-ready changes) to test code, selectors, mocks, and test data
Who You Are
- An expert in building and scaling test automation for cloud-native platforms (AWS, Azure, GCP).
- Deeply knowledgeable about modern QA methodologies, security testing, CI/CD pipelines, and automation frameworks (e.g., Selenium, Cypress, JUnit, PyTest).
- Hands‑on experience building agentic systems applied to software testing, such as LLM-based agents that can plan multi-step tasks, use tools/APIs, and iteratively improve outcomes (e.g., generating tests from requirements, self-healing tests, failure triage, and automated debugging assistance).
- Experience implementing guardrails and reliability controls for agentic workflows, including prompt/version management, tool-permissioning, human‑in‑the‑loop review, deterministic checkpoints, and evaluation harnesses.
- Experience integrating agentic systems with engineering tool chains (e.g., Git workflows, CI/CD pipelines, test runners, observability/log platforms, ticketing systems).
- A collaborative team player, able to communicate complex ideas effectively across technical and non-technical audiences.
- Bachelor’s or Master’s degree in Computer Science, Engineering, Cybersecurity, or related field.
- 5+ years of hands‑on experience in software engineering, test automation, or QA for cloud-based platforms.
- Experience with AI/ML-driven testing or emerging automation tools.
- Proven record of successfully leading quality initiatives through technological and organizational change.
- Familiarity with applying Artificial Intelligence (AI) or Machine Learning (ML) techniques in cybersecurity contexts (e.g., anomaly detection, threat hunting, behavioral analytics, or risk scoring).
Master’s degree (MS/MA) in Computer Science, Engineering, or Cybersecurity preferred. 5+ years of related experience in software engineering and test automation. Supervisor No Joining our team comes with amazing perks and benefits
- Medical/Dental/Vision coverage
- 401(k) plan
- Tuition reimbursement program
- Paid Time Off and…
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