Cross River

Full-stack Engineer

• Design, develop, and deliver scalable software modules and components
• Build backend systems using .NET 10, PostgreSQL, SQL Server, RabbitMQ, Docker and AWS
• Plan, triage, and prioritize work across multiple priorities

Senior Software Engineer

QA Engineer

• Partner with multiple internal and external teams to automate and perform testing on a variety of different services and applications
• Build test automation across multiple critical business domains
• Plan, triage, and prioritize work across multiple work streams
• Share knowledge with and mentor teammates
• Actively contribute to a collaborative Quality focused culture within the team

Senior QA Engineer

Backend Engineer

• Design, build, test, and deploy backend systems for high-scale financial applications
• Lead architecture reviews and drive decisions across technologies and platforms
• Write well-tested code and review peers’ work for quality and clarity
• Collaborate with Product, DevOps, and Security teams to deliver seamless experiences
• Own and improve development lifecycles including CI/CD, observability, and cloud automation
• Debug production issues and lead efforts to ensure system reliability and uptime
• Contribute to internal documentation and onboarding processes
• Participate in a Tier 2/3 on-call rotation to support business-critical systems

Senior BE, GO

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.
• Implement data minimization controls for GenAI/RAG workloads: context filtering, least‐privileged retrieval, document-level ACL enforcement, vector store hardening, and secure token/secret handling.
• Threat model AI systems (apps, agents, RAG, fine-tuning pipelines) using frameworks like STRIDE and the OWASP Top 10 for LLM Apps; define misuse scenarios (prompt injection/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

Consultant

• Ensure historical records have been uploaded and catalogued appropriately, including retroactive enrollments
• Maintain documentation repositories for system processes and configurations; refine Course Catalog with organized naming conventions
• Optimize Workday configurations, including business process modifications, security administration, and learning security segments
• Build new learning reports and dashboards to provide insights on learning trends, compliance training, and engagement
• Provide technical support and guidance on how to advise employees, managers, and PXT teams on Workday Learning functionality
• Assist in configuring campaigns and reminders, draft communications, and identifying opportunities for employee touchpoints
• Refine user guides, QRGs, and training materials for Workday Learning
• Develop Instructor guides for attendance management, system features, and best practices
• Assess current state, understand training needs, and provide guidance on optimizing the Workday Learning experience
• Recommend system improvements and process enhancements to drive engagement and efficiency (familiarity with Microsoft Teams integration and Outlook a plus)
• Conduct ad hoc data projects and cross-collaborate for reporting requirements

Senior Software Engineer

Senior QA Engineer

Senior BE, GO

AI Security Engineer

Workday LMS Consultant