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OneTrust is seeking a Staff Software Engineer to lead technical direction across a major feature area or system domain. This is a high-impact individual contributor role where you own outcomes, not just designs. You'll decide how ambiguous, cross-cutting problems get solved when no existing playbook applies, and your judgment carries weight across teams you don't formally manage.
Your core responsibilities include:
Technical Leadership & Architecture: Lead architecture and design for systems with significant scope and blast radius, ensuring decisions hold up under real growth, compliance, and reliability constraints. Pay attention to application performance and exercise judgment on where AI-assisted tooling accelerates delivery versus where deeper human design thinking is required.
Cross-Team Collaboration: Partner with Product, UX, and other engineering teams early, shaping problems before solutions are locked in. Build working relationships and technical credibility beyond your immediate team.
Quality & Standards: Set engineering practices for code review norms, testing standards, and incident review rigor that outlast your direct involvement and get adopted by teams you don't sit on. Identify and address systemic risk (technical debt, architectural drift, single points of failure) before it becomes an incident.
Mentorship: Mentor Senior and mid-level engineers on technical judgment—how to scope ambiguity, when to escalate versus decide, and how to use (and not over-rely on) AI tooling in their own work. Help engineers build the skill of writing decisions down clearly enough that others can disagree productively.
You determine methods and approach independently on new, complex assignments and are sought out by other engineers for technical guidance beyond your own team. You think in terms of systems and tradeoffs, not just individual tickets.
Required experience includes 8+ years of professional software engineering and hands-on experience using AI-assisted development tools (Claude Code, Devin, Windsurf, or similar) in a professional setting, with genuine enthusiasm for applying AI to accelerate and elevate day-to-day engineering work.
