• Design, develop, and maintain scalable, secure, and high-performance backend services • Own backend architecture including APIs, databases, integrations, and microservices • Translate product requirements into robust technical solutions • Write clean, testable, and well-documented code • Ensure system reliability, performance optimization, and fault tolerance • Lead technical discussions, code reviews, and architectural decisions • Mentor junior engineers and raise overall engineering standards • Collaborate with DevOps on CI/CD, monitoring, logging, and deployments • Ensure compliance with security, data privacy, and regulatory standards (where applicable)

About Aretum Aretum is a mission-driven organization committed to delivering innovative, technology-enabled solutions to our customers across defense, civilian, and homeland security sectors. Our teams work at the intersection of strategy, technology, and transformation, helping agencies solve their most critical challenges. We believe in investing in our people and creating a culture where collaboration, inclusion, and professional growth are at the forefront. Job Summary Design, develop, and test secure integration interfaces connecting vendor-supplied containerized applications with 10+ disparate client data systems in a Federal cloud environment. This is for a polypharmacy solution in a complex, multi-system cloud integration solution for Department of Veterans Affairs healthcare system that services millions of veterans. Focus on building robust APIs, data orchestration workflows, and integration patterns that enable risk analysis and service coordination for millions of clients while meeting strict federal security and compliance requirements. Due to the nature of our work as a federal consulting organization, employees may be expected to handle Controlled Unclassified Information (CUI) and must adhere to applicable safeguarding and compliance requirements.  Responsibilities - 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 and build backend systems that are clean, testable, and efficient • Architect scalable APIs and infrastructure for high-trust environments • Bring strong opinions on testing, quality, and long-term maintainability • Tackle complex product challenges with a user-first mindset • Shape our engineering practices and technical culture

• Design, develop, and maintain high-performance backend services and APIs • Build and improve microservices with a focus on scalability, performance, and reliability • Design and optimize asynchronous background jobs, workers, and task pipelines • Work with SQL and NoSQL databases, choosing the right solution for each use case • Develop and maintain ETL pipelines and data processing workflows • Deploy and serve ML models via APIs; participate in model lifecycle (deployment, retraining, monitoring) • Work with messaging systems (queues / pub-sub) for distributed communication • Participate in architecture discussions, code reviews, and technical decision-making • Collaborate with stakeholders to shape technical solutions and product direction • Contribute to CI/CD and containerized deployment processes