Software Development Engineer

Precision Analytical•McMinnville, OR

11h•Hybrid

About The Position

Software Development Engineer Precision Analytical (PA) is the creator of the DUTCH Test, an innovative hormone test that creates better tools for healthcare professionals to explore hormone issues with their patients. PA exists to make it easier for patients and their healthcare providers to find answers to complex clinical questions. We are fully committed to our mission of providing the best diagnostic tools in functional medicine. This position is located in McMinnville, Oregon, in the beautiful Willamette Valley. This is a hybrid role. We are seeking candidates who can work effectively from both a home office and our McMinnville office or other worksites.

Requirements

5+ years of professional software development experience
Bachelor's degree in Computer Science, Software Engineering, Information Technology, or a related field; equivalent education and experience may be considered
Hands-on experience building AWS serverless and event-driven applications, including Lambda, API Gateway, SQS/SNS, EventBridge, Step Functions, ECS, and Docker
Experience designing and building with both serverless and traditional application architectures, and the judgment to know when each is the right fit
Strong experience with TypeScript/JavaScript, Node.js, SQL, and NoSQL databases such as DynamoDB
Strong foundation in data structures, algorithms, complexity, software design patterns, SOLID principles, and separation of concerns
Experience with AWS CDK/SAM, Git, pull-request workflows, CI/CD, and automated testing
Understanding of distributed systems, microservices, and resilient architecture, including pub/sub, idempotency, retries, dead-letter queues, saga, and CQRS
Ability to work effectively with existing systems, including reverse-engineering business logic and using characterization testing to capture current behavior

Nice To Haves

Experience with React/Next.js, Python, Java, AWS observability and security, and software development in healthcare or other regulated industries
Experience integrating new cloud-native services with established applications, including data synchronization and migration between platforms
Experience using AI coding tools effectively and critically reviewing generated code
Experience building LLM-powered applications, including RAG, embeddings/vector search, MCP servers, agent tooling, and LLM evaluation
Familiarity with C#/.NET, Angular, Azure, Jira, and Confluence

Responsibilities

Help shape our new architecture from the ground up, choosing between serverless, containerized, and traditional approaches, and between monolithic and microservice designs, based on what each problem actually needs
Design, develop, test, and maintain scalable, cloud-native applications using AWS and modern software development practices
Build serverless and event-driven systems using AWS services including Lambda, API Gateway, SQS/SNS, EventBridge, and Step Functions, as well as ECS and Docker containers
Apply distributed-system patterns such as pub/sub, saga, idempotency, retries and dead-letter queues, and CQRS to build reliable and resilient systems
Develop infrastructure as code using AWS CDK and/or SAM
Build backend services and applications using TypeScript/JavaScript and Node.js
Design and work with both relational SQL databases and NoSQL databases, including DynamoDB
Apply strong software engineering fundamentals, including data structures, algorithms, complexity analysis, software design patterns, SOLID principles, and separation of concerns
Use sound judgment when applying design patterns, recognizing when a pattern improves maintainability and when it introduces unnecessary complexity
Participate in Git-based development and pull-request workflows, including code reviews and collaborative problem solving
Build and maintain CI/CD pipelines and automated testing, including unit, integration, and characterization testing
Analyze existing applications and workflows to understand their business logic, identify the true business rules, and translate them into modern cloud-native designs
Design integrations between new services and existing applications and platforms, including data synchronization and migration between database platforms
Monitor and troubleshoot applications using AWS observability tools such as CloudWatch and X-Ray, along with structured logging and other appropriate practices
Apply sound IAM and cloud security fundamentals when designing and implementing AWS solutions
Collaborate with technical and non-technical stakeholders to clarify requirements, explain trade-offs, and make practical decisions
Stay current with emerging development tools, including AI-assisted coding and AI application development, and apply them thoughtfully with appropriate review and testing
Contribute to LLM-powered applications, including RAG pipelines, vector search, MCP servers, agent tooling, and evaluation of LLM output quality, as applicable to business needs
Contribute across the technology stack as needed, including frontend development, infrastructure, data, and direct interaction with users