Software Engineer

Software Engineer

Location: St. Louis, MO

Experience: 10+ Duration: Long Term

Job Description:

Key Responsibilities

• 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.

Required Experience/Skills

• The role requires a strong foundation in core software engineering and distributed systems, coupled with experience in AI-focused platforms.
• Experience & Expertise:
• 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 microservice architectural patterns and design.
• Technical Stack:
• Expertise in Java/Spring Boot.
• Experience in Python
• Expert understanding of relational and NoSQL databases (e.g., Postgres, MongoDB, 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.
• Preferred Experience / 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., LangChain).
• Data & Analytics: Experience with data warehousing and analytics platforms, particularly Google BigQuery.
• Healthcare Data: Experience with healthcare data standards, such as HL7 and FHIR.
• Innovation & Prototyping: Demonstrated ability to drive innovation, research emerging technologies, and build rapid prototypes/proofs-of-concept.

Characteristics We Seek

• Be curious about technology.
• Learn and grow professionally.
• Always ready for change.
• Seek feedback.
• Sound awareness of self and situations.
• Demonstrate positivity.
• Work with your team.
• Live Ascension’s core values: service of the poor; reverence; integrity; wisdom; creativity; and dedication.