Lead Software Engineering - Cloud Security Platform (Test Strategy)
- 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
- 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 toolchains (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).
- Medical/Dental/Vision coverage
- 401(k) plan
- Tuition reimbursement program
- Paid Time Off and Holidays (based on date of hire, at least 23 days of vacation each year and 9 company-designated holidays)
- Paid Parental Leave
- Paid Caregiver Leave
- Additional sick leave beyond what state and local law require may be available but is unprotected
- Adoption Reimbursement
- Disability Benefits (short term and long term)
- Life and Accidental Death Insurance
- Supplemental benefit programs: critical illness/accident hospital indemnity/group legal
- Employee Assistance Programs (EAP)
- Extensive employee wellness programs
- Employee discounts up to 50% off on eligible AT&T mobility plans and accessories,
- AT&T internet (and fiber where available) and AT&T phone.
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