• Design and implement secure integration interfaces (RESTful APIs, SOAP, message queues, file-based) connecting vendor applications with client data systems • Develop data orchestration workflows using AWS services (Lambda, Step Functions, EventBridge, SQS/SNS) • Use VA-endorsed interoperability standards including FHIR R4, CDS Hooks, and SMART on FHIR • Build error handling, retry logic, and dead-letter queue patterns for distributed system reliability • Implement data transformation and validation logic to reconcile disparate source system formats • Create reusable integration patterns and libraries for scaling to 130+ system instances • Work with vendor-supplied containers to understand integration points and API requirements • Design and implement fault-tolerant integration patterns with automatic retry, circuit breaker, and graceful degradation strategies • Build multi-AZ deployment architectures ensuring integration availability during infrastructure failures • Develop idempotent APIs and workflows to handle duplicate processing and enable safe retries • Implement health checks, readiness probes, and self-healing mechanisms for integration endpoints • Create disaster recovery procedures including backup strategies, failover mechanisms, and recovery time objective (RTO) compliance • Design for horizontal scalability to handle variable workload demands across millions of client records • Implement secure integration patterns including encryption (at-rest and in-transit), authentication/authorization (OAuth, API keys, IAM roles), and input validation • Apply least-privilege IAM policies for cross-service and cross-account access • Implement audit logging and traceability for compliance requirements • Handle PII, PHI and other sensitive client data according to federal data protection standards • Support RMF/ATO process by documenting security controls and providing evidence for assessment • Develop comprehensive integration test suites (unit, integration, end-to-end) • Create test data sets and mocking strategies for isolated component testing • Perform load and performance testing on integration endpoints • Support security testing and vulnerability remediation activities • Document test plans, test cases, and test results for compliance review • Build serverless integration workflows using Lambda functions and Step Functions state machines • Configure API Gateway for RESTful endpoint exposure with throttling and authorization • Implement event-driven architectures using EventBridge, SNS, and SQS • Manage secrets and configuration using Secrets Manager and Parameter Store • Monitor integration health using CloudWatch metrics, logs, and alarms • Deploy infrastructure-as-code using AWS SAM, CloudFormation, or Terraform

• Design, develop, and maintain NetSuite customizations using SuiteScript, SuiteFlow, and SuiteBuilder • Build and enhance scripts, workflows, forms, and custom records to support financial, order-to-cash, and operational processes • Ensure custom solutions adhere to NetSuite best practices for performance, security, and maintainability • Develop and support integrations between NetSuite and upstream/downstream systems, including Salesforce and other enterprise applications • Collaborate with integration platform teams and vendors to ensure reliable, well-governed data exchange • Partner with IT product managers, administrators, and business stakeholders to translate requirements into effective technical designs

• Provide platform, engineering, and enablement services to drive the adoption and utilization of Generative AI capabilities, fostering technological innovation and improving member experience through foundational AI capabilities. • Design, develop and deploy AI solutions with a focus on: clarify the problem, design the approach, write the prompts and prototype quickly. • Curate, process and augment high-quality multimodal data while integrating Retrieval-Augmented Generation (RAG) for robust model grounding and improved accuracy. • Implement retrieval-augmented workflows: grounding, chunking, indexing strategies, response synthesis, and guardrails for factuality and tone. • Orchestrate multi-step agents: task decomposition, tool-use design, memory and context strategies, and failure/retry logic for reliability. • Operationalize prompt systems: reusable prompt patterns, role/task separation, evaluation harnesses, and continuous refinement. • Leverage core engineering competencies in GPT algorithms, data ingestion for Large Language Models (LLMs), prompt engineering, and Natural Language Processing (NLP)/Chatbot interface construction. • Deploy solutions to a shareable environment for stakeholders. • Document decisions: assumptions, risks, test plans, and clear instructions so others can run, test, and extend prototypes. • Translate complex AI behavior into simple narratives and demos. Gather feedback from non-technical stakeholders and close the loop with measurable improvements.

• Write and ship code in our stack (Node/NestJS, React, TypeScript) with guidance from your team. • Work with MongoDB, Postgres, and Redis as part of building features that serve real users at scale. • Take ownership of a scoped project - from understanding the problem, through design and implementation, to demoing your work. • Deploy your own code using trunk-based development with automated testing and short-lived feature branches. • Participate in code reviews, giving and receiving feedback to sharpen your craft. • Contribute to our web applications and see how reusable components and shared libraries power a global engineering org. • Understand the real-world problems faced by our facility clients, nurses, and internal users. • See how product decisions are made by working closely with PMs and occasionally hearing directly from customers. • Communicate clearly and asynchronously with a globally distributed team — strong writing matters here. • Join daily overlap sessions or syncs (typically mornings US PST) to stay connected with your team.