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Remote role and metro location increase applicant density despite seniority and niche AI-quality focus.
Engineering-quality and AI automation skills broadly transferable, though ESG domain knowledge is a plus.
Explicit 8+ years plus mandatory AI, Playwright, Java/Python, and leadership makes filters strict.
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Lead and improve product quality across the software development lifecycle by integrating AI-assisted engineering and automation.
Analyze production defects using AI to identify root causes and recurring patterns, and recommend quality and architectural improvements.
Drive engineering leadership by coaching teams, defining standards, and reducing production defects through better engineering practices and AI-enabled test automation.
8+ years of professional software engineering experience, with at least 4 years of hands-on coding.
Experience leading teams comprising software developers and QA engineers.
Proficiency in AI-assisted development tools (e.g., Claude Code, Copilot, ChatGPT) and Playwright for automated testing.
Strong skills in Java and/or Python development, software architecture, CI/CD, debugging, and root cause analysis.
Experienced leader comfortable blending software engineering and QA disciplines with AI-driven automation and analytics.
Proven ability to reduce production defects and improve engineering processes at a scalable enterprise software company.
Background or interest in ESG and sustainability domains preferred but not mandatory.