Jobs at Worth

Provides internal IT help desk support, endpoint configuration, hardware and peripheral maintenance, asset inventory, documentation, and technical project assistance. Manages security patching, assessments, penetration testing, monitoring, incident response, security policies, and employee awareness training across Mac, Windows, and Linux environments. Troubleshoots operating systems, applications, networking, VoIP, conferencing systems, and office equipment while supporting automation and technology deployments.

Designs and ships production multi-agent AI systems for KYB, underwriting, case review, and risk monitoring. Owns agent architecture, retrieval, tool integrations, evaluations, observability, MLOps, reliability, and compliance guardrails. Requires strong Python engineering, agent framework expertise, distributed systems experience, Kubernetes operations, and production LLM deployment skills. Mentors engineers and partners with product, security, compliance, and applied science teams. Remote employees travel to Orlando at least twice annually.

Designs, builds, and operates a scalable data platform supporting entity resolution, knowledge graphs, real-time risk assessment, APIs, and batch or streaming pipelines. Owns data reliability, performance, observability, governance, and platform SLAs. Collaborates with data science, analytics, product, and engineering teams while implementing cloud-native infrastructure, automation, CI/CD, and self-service data capabilities.

Own the design, implementation, and operation of third-party integrations, public APIs, SDKs, and internal connectors. Build resilient, event-driven services using Node.js, TypeScript, PostgreSQL, Kafka, Redis, and Kubernetes. Lead system design, production operations, performance optimization, incident response, refactoring, code reviews, mentoring, and cross-functional technical communication.

Serve as a technical partner throughout pre-sales and post-sales engagements for an AI-powered financial compliance platform. Lead discovery, solution design, demonstrations, proofs of concept, implementation planning, onboarding, integrations, customer training, and technical documentation. Coordinate with Sales, Customer Success, Engineering, Product, and Data teams while translating customer feedback into roadmap input and identifying expansion opportunities. Apply expertise in FinTech, RegTech, KYB, KYC, AML, fraud detection, and identity verification.

Build and operate reliable, scalable infrastructure using Terraform, Kubernetes, AWS, and CI/CD automation. Own cloud networking, IAM, secrets, observability, disaster recovery, cost optimization, and platform resilience. Improve deployment practices, eliminate manual toil, lead incident response and postmortems, modernize legacy infrastructure, and partner with engineering teams to deliver secure, reproducible systems. The role is remote with travel to Orlando at least twice annually.

Build and evolve internal platforms, developer tools, shared architectures, and deployment systems that improve engineering velocity and reliability. Responsibilities include developing Nest.js, React.js, and TypeScript patterns; optimizing PostgreSQL and Kafka systems; managing Kubernetes and ArgoCD; modernizing legacy code; improving CI/CD and observability; leading cross-team technical initiatives; and mentoring engineers.

Own onboarding, implementation, training, and ongoing success for fintech clients using AI-driven underwriting and decisioning solutions. Manage a book of business, build relationships, lead client meetings, resolve workflow and integration issues, monitor success metrics, identify expansion opportunities, and communicate customer feedback internally. The role requires expertise in financial services, underwriting, credit risk, lending workflows, AI applications, CRM systems, and customer success operations.

Own enterprise new-logo acquisition and expansion while personally closing complex, high-value deals and carrying an individual quota. Hire, coach, and develop Enterprise AEs and SDRs; establish forecasting, pipeline, conversion, and sales operating cadences. Partner with Marketing, Product, Customer Success, Partnerships, Legal, and Finance, while presenting performance and strategic recommendations to executives and the board.