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This role demands a Principal Data Scientist to lead and scale the risk and underwriting capabilities of a fast-growing fintech platform focused on providing working capital solutions. This is a senior, highly hands-on position where risk, data, and machine learning are treated as core systems rather than support functions. You will own the design, implementation, and continuous optimization of AI-driven underwriting models, risk scorecards, and portfolio strategies.
In this role, you will define the long-term vision for risk management at scale while remaining directly involved in model development, feature engineering, and deployment. You will lead and mentor a small, high-impact team of data scientists, setting high technical standards and raising the overall quality bar across the organization. By leveraging alternative data sources and collaborating across product and engineering teams, you will drive fully automated decisioning workflows that directly impact business growth.
Python R SQL Machine Learning Credit Scoring Risk Management
This is a high-impact technical leadership role for a Principal .NET Trading Systems Engineer to take full ownership of Order Management Systems (OMS), API infrastructure, and core trading services. You will architect, build, maintain, and scale mission-critical backend systems that drive real-time trading operations, broker connectivity, and market data infrastructure. This position requires a hands-on leader who can make architectural decisions while participating in development, performance optimization, and system troubleshooting.
In a fast-paced, remote environment, you will ensure high availability and sub-millisecond reliability for systems with strict uptime requirements. You will establish engineering standards, mentor developers, and lead disaster recovery and incident response. This role is ideal for an engineer with deep technical expertise in distributed systems, financial technology, and high-performance infrastructure who thrives on high accountability and ownership.
This role focuses on building, scaling, and stabilizing production-grade AI agent systems. You will design hands-on agentic workflows that connect with backend services, frontend events, and internal tools, while ensuring reliability, security, maintainability, and scalability.
You will collaborate closely with AI, backend, frontend, infrastructure, and product teams to integrate LLM-powered capabilities into core systems. This is a practical senior engineering role for someone who can move beyond prototypes and deliver safe, robust AI applications in production environments involving sensitive data, deterministic business logic, and strict operational constraints.
You will own the lifecycle of AI services, from Python API development and agent orchestration to AWS deployment, monitoring, debugging, and continuous improvement.
You will lead the migration of a legacy system to a modern .NET 8+ backend under Clean Architecture. Working in a high-availability environment with complex business rules and strict security regulations, you will translate legacy logic into robust Web APIs, optimize MySQL data access, and implement secure authentication flows. Your work directly enables reliable integration with payment providers and frontend systems in a regulated domain where technical precision is critical.
You will own the complete data and AI architecture for a US-based payment processing and merchant services operation migrating from Salesforce to AWS. This is the most senior technical role on the engagement. You report directly to the CEO, serve as technical counterpart to the CTO, and make architecture decisions with significant infrastructure impact. You will design the AWS data layer, integrate it with the existing Salesforce environment, architect voice infrastructure, and define how data is structured for AI consumption. You will also evaluate vendor proposals from an AWS migration consulting firm and ensure the architecture is cost-efficient and AI-ready.
WS Data Architecture S3 DynamoDB Data Lakes AWS Bedrock Lambda
You will own endpoint and digital workplace systems end to end, designing AI-assisted diagnostics and self-service workflows that prevent incidents before they become tickets. Your focus is building reliable, automated systems that scale with minimal manual intervention, partnering across Security, Infrastructure, and Productivity teams to make the reliable path the default user experience. Success is measured by reduced ticket volume, increased automation coverage, and consistently high employee satisfaction.
Endpoint Management Identity Providers PowerShell Python IT Automation Azure AD
