What you'll be doing

Risk Detection: Close coverage gaps and scale detection systems by integrating advanced Machine Learning models and building robust controls to spot AUP violations.
Supercharge Operations: Architect automated workflows and intuitive internal tooling to reduce cost per case and median handling times for operations analysts.
Own the Architecture: Ensure services are highly available, resilient, and secure with the right monitoring, observability, and decoupled architectures to scale globally.

Requirements

Engineering Leadership: Proven experience leading, mentoring, and developing software engineers in an agile environment (Tech Lead or Engineering Manager).
Strong Technical Roots: Solid engineering background with modern languages and understanding of frontend frameworks like React and TypeScript.
Distributed Systems at Scale: Experience designing, deploying, and maintaining scalable, concurrent microservices in cloud environments with knowledge of high-throughput message processing and asynchronous workflows.
Product & Risk Mindset: Ability to align technology with business impact, understand operational bottlenecks, and translate complex policy mandates into engineering milestones.
Excellent Communication: Skill in aligning engineers, data scientists, and non-technical stakeholders towards a shared technical vision.

Experience in FinTech or Financial Crime (AML, Sanctions, Fraud, or Policy enforcement).
Partnership experience with Data Scientists to productionalize and scale Machine Learning models.
Familiarity with Cloud Infrastructure and modern DevOps tooling like AWS, Terraform, Kubernetes, GitHub Actions.
Experience building or optimizing high-volume case-management platforms or operational back-office tools.
Existing customer of Wise.