Member of Technical Staff, Verification & Policy

Own the Logic Scrubber: how a directive is verified against policy before authority is granted. Before Orcher grants an agent authority to act, the directive is checked against enterprise policy, regulatory constraints, and the boundaries of the requesting role. That check is the Logic Scrubber, and you will own it. The problem is not writing rules. It is compiling policy from many sources — regulatory regimes, internal control frameworks, contractual obligations — into an evaluation that is deterministic, explainable, and fast enough to sit in the request path. Explainability is a hard requirement. Every deny must carry a reason a compliance officer can act on, and every allow must carry the evidence that justified it. What you will do Design the policy representation and the compiler that turns authored policy into executable evaluation. Build deterministic evaluation with explainable outcomes and stable reason codes. Implement conflict resolution when regimes, internal controls, and role scopes disagree. Build the simulation and dry-run tooling teams use to test policy before enforcing it. Own the performance envelope of evaluation inside the gating path. Work with compliance leaders at design partners to encode real control frameworks correctly. What we look for Experience building rules engines, policy systems, query planners, compilers, or type checkers. Comfort with formal reasoning: decidability, determinism, and the limits of static analysis. Familiarity with OPA/Rego, Cedar, Zanzibar-style models, or an equivalent you have built yourself. Ability to produce explanations of machine decisions that non‑engineers can act on. Strong systems performance instincts and the profiling discipline to back them. Willingness to sit with compliance teams and translate their language into code. Experience 10+ years in software engineering with significant depth in language, policy, or evaluation systems. Has owned a component that other engineering teams depended on and extended. Experience in a regulated domain — finance, healthcare, insurance, defence, or public sector — is a strong plus. Education BS, MS, or PhD in Computer Science or a related field, ideally with exposure to programming languages, logic, or formal methods. Equivalent practical experience is accepted; we care about the systems you have shipped. Compensation and benefits Meaningful equity with a standard four-year vest. Full medical, dental, and vision coverage. 401(k) with company contribution and a hardware budget. Time and budget to publish research derived from your work. #J-18808-Ljbffr Dipp AI Technologies