Staff Software Engineer

The Challenge

We're looking for a Staff Software Engineer to lead technical direction across a major feature area or system domain at OneTrust. Staff Engineers here own outcomes, not just designs; they decide how ambiguous, cross-cutting problems get solved when no existing playbook applies, and their judgment carries weight across teams they don't formally manage.

Your Mission

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; not just initial requirements.
• Paying attention to application performance
• Exercise judgment on where AI-assisted tooling accelerates delivery and 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 vs. 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 Are

Someone who determines methods and approach independently on new, complex assignments, and who is sought out by other engineers for technical guidance beyond your own team. You think in terms of systems and tradeoffs, not just individual tickets.

Your Experience Includes

• Hands-on experience using AI-assisted development tools (e.g., 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.
• 8+ years of professional software engineering/development experience
• Extensive hands-on experience and expertise in object-oriented design methodology and application development using Java/J2EE, Design Patterns, Spring MVC, SQL, Web services.
• Experience with elastic search and data streaming tools like Kafka.
• Good understanding of web services and SOA related standards like REST/OAuth/JSON.
• Agile development (Scrum, XP, or Pair Programming) experience
• Ability to use a wide variety of open-source technologies and cloud services (Azure, Google Computer, or Amazon Web Services)
• Familiarity with public cloud providers such as (Azure, Google Cloud, or AWS)
• Proficiency in Kubernetes, including cluster deployment, scaling, and management is highly desirable.