Teams at Signifyd

Lead design, implementation, and operation of Signifyd's GCP/Kubernetes cloud platform. Architect scalable, secure infrastructure, embed AI-driven automation, own SLOs and incident response, improve developer experience via CI/CD/GitOps tooling, mentor engineers, manage cloud capacity/FinOps, and build observability and security into the platform.

Supports recruiting by coordinating complex interviews, liaising with candidates and interviewers, resolving scheduling conflicts, collecting feedback, and sourcing candidates on LinkedIn. Also assists with HR reporting, analytics, compliance audits, digital file migration, employee experience initiatives, milestone management, and office administration. This is a 3–4 month remote contract role with a primary recruiting focus.

Lead and grow a distributed ML engineering team that runs experiments, ships production models, and partners with Risk and platform teams. Balance research bets and delivery, enforce rigorous evaluation and reproducibility, mentor engineers, own roadmap trade-offs, and represent results to stakeholders while improving model performance and production reliability.