Systems Integration Engineer

Summary

Eventus WholeHealth is looking for a Systems Integration Engineer who is adept at improving workflows and building maintainable systems. The role involves designing and building integrations and tools that support clinical and operational workflows, while collaborating with Data & Analytics teams to align with enterprise data strategies.

Responsibilities

• Design and build integrations, internal tools, and automations supporting clinical and operational workflows
• Translate architectural designs into reliable, production-ready systems
• Develop prototypes and proofs of concept to validate technical approaches
• Design, implement, and maintain integrations using REST APIs and other system interfaces
• Collaborate with Data & Analytics teams to align integrations with enterprise data strategy
• Maintain and enhance existing microservices, integrations, and automation systems
• Implement monitoring, alerting, and fail-safe mechanisms to ensure system reliability and data protection
• Ensure systems are maintainable, observable, and resilient as they scale
• Create and maintain documentation including runbooks, architecture diagrams, and troubleshooting guides
• Build reports and dashboards using Power BI or similar tools when required
• Other related duties as assigned

Skills

• Bachelor's degree in Computer Science, Engineering, Information Systems, or equivalent professional experience
• 1–5 years of experience in software development, systems integration, or solutions engineering (or equivalent demonstrated capability through projects, coursework, or open-source work)
• Proficiency in Python sufficient to independently write, debug, and maintain production code
• Experience working with structured data and writing SQL queries
• Familiarity with API-based integration patterns and RESTful services
• Proficiency with version control systems (e.g., Git) and comfort with AI-assisted development tools as a primary workflow (e.g., Claude Code or similar)

Qualifications

Must Haves

• Bachelor's degree in Computer Science, Engineering, Information Systems, or equivalent professional experience
• 1–5 years of experience in software development, systems integration, or solutions engineering (or equivalent demonstrated capability through projects, coursework, or open-source work)
• Proficiency in Python sufficient to independently write, debug, and maintain production code
• Experience working with structured data and writing SQL queries
• Familiarity with API-based integration patterns and RESTful services
• Proficiency with version control systems (e.g., Git) and comfort with AI-assisted development tools as a primary workflow (e.g., Claude Code or similar)