Cross River

Platform Engineer

• Design, develop, and maintain full-stack software in support of Cross River's data platform
• Build and operate AI-native capabilities: LLM-powered agents and reasoning loops, retrieval-augmented generation (RAG) over the data catalog, and natural-language-to-SQL query experiences
• Integrate large language models responsibly, with rigorous permission checks, tracking, and observability on every model call
• Act as a thoughtful and considerate data steward, with a mind for strong data security
• Engineer React-based web UIs that present complex data (catalogs, lineage, dashboards, and conversational interfaces) clearly and accessibly
• Build and operate Python back-ends that house APIs and integrate with the data platform and adjacent systems
• Interact with AWS services and technologies including Lake Formation, Glue, Iceberg, Hive, Athena, ECS, and Snowflake
• Operate and troubleshoot and issues across the UIs, APIs, agents, and data pipelines
• Collaborate with other software engineers, data engineers, data scientists, and business personnel to ensure business, security, and operational needs are met
• Manage code and versioning effectively using Git and participate in architectural discussions on product- and platform-level designs
• Ensure best practices around development, testing, and documentation.

Senior Software Engineer, Data Platform

Security Engineer

• Design enterprise AI guardrails across Azure and AWS (e.g., Azure AI Studio/Azure OpenAI, Amazon Bedrock/SageMaker): content filtering, PII redaction, prompt/response validation, and policy enforcement services
• Assess and define secure usage patterns and data governance controls for agentic frameworks and coding agents: permission scoping, tool-call authorization, least‐privileged retrieval, session isolation, and MCP server governance
• Threat model AI systems (apps, agents, MCPs, RAG, fine-tuning pipelines) using frameworks like STRIDE and the OWASP Top 10 for LLM Apps; define misuse scenarios (prompt injection/context poisoning/jailbreaks/data exfiltration) and build mitigations
• Build monitoring and telemetry: privacy-preserving prompt/response logging, sensitive-data detection, safety/eval dashboards, drift/abuse signals, and incident hooks into our SIEM
• Integrate AI security into the SDLC: reusable libraries, pre-commit checks, CI/CD gates, policy-as-code, and secure-by-default reference architectures for product teams
• Evaluate third‑party AI vendors and internal apps: security reviews, data residency and retention requirements, SSO/SCIM integrations, DPA/TPRM inputs, and continuous control testing
• Partner across Security, Data, Privacy, and Engineering to map AI controls to FFIEC, SOC 2, and PCI DSS; document control evidence for audits
• Lead/participate in AI red‑teaming: automated jailbreak/prompt‑injection tests, safety benchmarks, purple‑team exercises, and response playbooks for AI incidents
• Enable the org with concise guidelines, examples, and training on safe AI development and usage

AI Security Engineer

Data Engineer

• Design, develop, and maintain full-stack software in support of Cross River's data platform
• Build and operate AI-native capabilities: LLM-powered agents and reasoning loops, retrieval-augmented generation (RAG) over the data catalog, and natural-language-to-SQL query experiences
• Integrate large language models responsibly, with rigorous permission checks, tracking, and observability on every model call
• Act as a thoughtful and considerate data steward, with a mind for strong data security
• Engineer React-based web UIs that present complex data (catalogs, lineage, dashboards, and conversational interfaces) clearly and accessibly
• Build and operate Python back-ends that house APIs and integrate with the data platform and adjacent systems
• Interact with AWS services and technologies including Lake Formation, Glue, Iceberg, Hive, Athena, ECS, and Snowflake
• Operate and troubleshoot any issues across the UIs, APIs, agents, and data pipelines
• Collaborate with other software engineers, data engineers, data scientists, and business personnel to ensure business, security, and operational needs are met
• Manage code and versioning effectively using Git and participate in architectural discussions on product- and platform-level designs
• Ensure best practices around development, testing, and documentation

Senior Data Engineer

Software Engineer

• Configure and deliver business solutions using Microsoft Dynamics 365, Power Pages, Power Apps, and Power Automate
• Design scalable data models, security frameworks, and solution architectures within Dataverse and the Power Platform
• Customize Dynamics 365 applications, create automation workflows, and develop Power BI dashboards to support business processes and reporting
• Collaborate with business stakeholders, solution architects, and cross-functional teams to translate requirements into scalable platform solutions
• Evaluate and implement low-code/no-code solutions while balancing configuration and custom development to reduce technical debt
• Design and support integrations between Dynamics 365, Microsoft technologies, and third-party business applications
• Ensure best practices for security, usability, governance, performance, and platform scalability
• Support application lifecycle management, source control, and DevOps processes across Power Platform solutions

Senior Developer, Dynamics 365

Backend Engineer

• Design, build, and continuously improve our LLM-based Agentic platform
• Own end-to-end architecture decisions from model orchestration and prompt design to retrieval pipelines, tool-calling patterns, and evaluation frameworks
• Architect and build high-performance services in Python and/or Node.js
• Design systems for extreme speed, reliability, and real-time data processing under high traffic conditions
• Design and maintain MCP servers that give AI agents structured, secure access to internal banking systems, external APIs, databases, and developer tools making Agentic platform composable and extensible by design
• Build intuitive React interfaces that expose AI capabilities like chat interfaces, agentic dashboards, real-time streaming UIs, and internal tooling
• Own state management patterns and component architecture at scale
• Partner with product managers, business stakeholders, compliance, and engineering teams to translate vision into scalable technical requirements and roadmaps
• Design and ensure the platform meets enterprise-grade security and financial regulatory standards
• Actively upskill fellow engineers on full-stack best practices, LLM integration patterns, and production of AI systems
• Help define coding standards and contribute to a culture of engineering excellence
• Evaluate emerging models, frameworks, and tooling
• Prototype and integrate the most impactful advances into our platform and internal developer productivity tooling

Senior Back-End Engineer, Node.js

Operations

• Design, implement, and continuously improve support processes, workflows, and operational standards.
• Identify inefficiencies and drive automation initiatives to improve productivity and customer satisfaction.
• Drive initiatives to improve service quality, operational efficiency, and customer experience.
• Lead operational readiness for new product launches, feature releases, and organizational changes.
• Collaborate with Support Leadership, Product, Engineering, Customer Success, and Business Operations teams.
• Define and monitor key support KPIs.
• Build dashboards and reports to provide visibility into support performance and trends.
• Analyze operational data and present recommendations to leadership.
• Own and optimize support platforms such as CRM, ticketing, workforce management, and knowledge management systems.
• Partner with IT, Engineering, Product, and Customer Success teams on system integrations and enhancements.
• Evaluate and implement new technologies, including AI-powered support solutions.