Digital Engineering Software Architect

Benefits

• 401(k)
• Employee discounts
• Opportunity for advancement

Your role is hands-on, driving innovation and early-stage development efforts. You will champion the exploration and adoption of new technologies, including AI platforms, to inform and accelerate our clinical product development. You'll demonstrate ownership and initiative to build product and system knowledge, contribute to coding solutions, understand technical trends and best practices, and implement these effectively. Success in this role will ensure successful, high-quality technical delivery and implementation of our software solutions, especially as they integrate new AI capabilities.

Product Focus & Innovation:
Closely collaborate with engineering teams to architect and develop resilient, reliable, scalable, secure, compliant, and highly available products, while specifically researching and prototyping new architectural patterns for AI integration.

Discovery & Technical

Roadmap:

Contribute toward technical roadmap refinement by researching new technologies, tools, and frameworks for potential adoption, particularly those related to Generative AI and Agentic Architectures.

Standards/Best Practices:
Identify, document, communicate, champion, and drive adoption for standards, policies, processes, best practices, and aligned software architecture/software engineering points of view, including new paradigms introduced by AI systems.

Technical Leadership:
Provide technical guidance, mentorship, and feedback to team members to grow overall team capabilities, especially in emerging technical areas.

Outcome-Oriented:
Display ownership of outcomes. Provide trusted expertise for effort estimates and offer alternate approach recommendations along with associated tradeoffs/risks where appropriate.

Industry Knowledge:
Keep current on industry standards and bring insights back to the team.

Computer Science Bachelor's degree or degree in related field of study.

10+ years of overall hands-on software engineering experience.

6+ years of experience and expertise in designing, developing, and consuming RESTful APIs.

Experience in architecting, designing, and developing complex, cloud-native, scalable, performant, and highly available distributed systems

Expertise in micro-service architectural patterns and design. Expertise in Java/Spring Boot.

Experience in Python

Expert understanding of relational and No

SQL databases (e.g., Postgres, Mongo

DB, Neo4j), SQL, and database/schema design.

Experience with GCP compute platforms, including container orchestration (Google Kubernetes Engine - GKE) and serverless (Cloud Run, Cloud Functions).

Experience with message broker/event queue technologies (e.g., Rabbit, GCP Pub/Sub).

Experience working with API management platforms (e.g., Apigee X).

Strong verbal and written communication skills.

Generative AI Platforms:

Experience with Google Cloud's AI platform services, such as Vertex AI, Agent Builder, and related Generative AI tools (e.g., Lang Chain).

Data & Analytics:
Experience with data warehousing and analytics platforms, particularly Google Big Query.

Healthcare Data:
Experience with healthcare data standards, such as HL7 and FHIR.

Job Type: Contract

Pay: C2C Rate up to $100/hr

Location:

St. Louis, MO

Submit Resumes To:

Compensation: $100.00 per hour