InductiveHealth Informatics

Full-stack Engineer

• Assist in designing, developing, and maintaining automation solutions across our applications environment
• Support the development and maintenance of applications using C# and .NET technologies
• Write and optimize queries in SQL Server to support application functionality and reporting
• Build and maintain scripts using PowerShell for automation, deployment, and system management
• Help write and maintain unit and integration tests in C# (xUnit, Moq, AutoFixture), following the team's documented testing patterns and reusing existing test helpers
• Contribute to the development and maintenance of CI/CD pipelines to support efficient and reliable software delivery
• Assist with migrating our database deployment process away from a homegrown tool to Red Gate Flyway, supporting the team's transition to a modern, standardized migration workflow
• Collaborate with cross-functional teams to identify automation opportunities and improve processes
• Troubleshoot application issues and support ongoing system enhancements
• Apply an AI-first approach to problem-solving, exploring opportunities to leverage AI/automation tools to increase productivity and innovation
• Document processes, solutions, and best practices
• Work with DevOps to build and maintain application observability, including dashboards, alerts, and telemetry, using Application Insights and Azure Monitor to give the team visibility into application health, job execution, and integration performance.

Junior Software Engineer – Automation, Tools

SDET

• Develop Automated Test Scripts: Create, run and maintain automated tests for critical web application workflows using tools like Selenium WebDriver and Playwright frameworks. Create robust scripts to validate UI functionality, workflows, and data integrity across InductiveHealth’s product suite.
• Ensure Software Quality: Work alongside QA and development teams to understand application behavior, implement comprehensive test plans covering functional, regression, and end-to-end scenarios. Continuously improve test coverage to maintain high reliability of our applications through regular releases.
• Leverage AI & Modern Tools Effectively: Utilize AI-assisted development and testing tools to improve productivity in test design, scripting, debugging, and maintenance. Work with generative AI assistants (e.g., code-completion, test case generation tools) to accelerate script development and maintenance. Maintain self-healing test frameworks and AI-based analytics to reduce flaky tests and improve defect detection.
• Execute and Monitor Automated Testing: Monitor automated test runs, analyze failures, document findings, and ensure timely resolution of any breaking changes.
• Document Test Assets and Results: Document test steps, results, and defects clearly. Maintain testing artifacts (test plans, cases, scripts) in our repository. Provide concise reports on testing progress, coverage, gaps, quality risks, and related quality metrics to the team.
• Learn the Product and Domain: Build understanding of public health domain and InductiveHealth’s applications (like disease surveillance workflows, data privacy requirements). Ensure testing approaches account for relevant regulatory, security and accessibility standards (e.g., data confidentiality, HIPAA compliance, 508 Compliance).

Junior QA Automation Engineer

Customer Support

• Triage, investigate, and resolve assigned support requests in a timely and effective manner, escalating issues when appropriate
• Guide clients remotely through issues, questions, and application functionality, including basic user guidance and support
• Listen attentively to clients’ questions and concerns, assess the issue, and provide clear and practical solutions
• Provide professional, client-centered support in all communications and coordinate escalation of unresolved issues to the appropriate internal teams
• Partner with DevOps Engineers and other cross-functional teams to investigate, escalate, and resolve technical issues
• Provide clients with timely and accurate status updates on open requests, ensuring clear communication throughout the issue lifecycle
• Create and maintain client support knowledge articles, support documentation, and standard operating procedures (SOPs)
• Own assigned requests through resolution, including follow-up, documentation, and coordination across internal teams
• Identify recurring issues, support trends, and process improvement opportunities and communicate them to internal stakeholders
• Translate technical issues and system behavior into clear, client-friendly language for users with varying levels of technical experience
• Represent InductiveHealth with professionalism and integrity while helping to advance our company mission

Client Support Specialist

Software Engineer

• Lead the design and execution of an organization-wide analytics strategy focused on scalability, usability, and impact
• Partner with Product, Engineering, and stakeholders to define data requirements and ensure alignment with business and public health outcomes
• Own and evolve data modeling practices to support high-quality reporting, dashboards, and downstream analytics use cases
• Drive development and optimization of SQL-based data pipelines across Azure SQL and SQL Server environments
• Oversee Power BI development, including Direct Query models and paginated reporting for operational and executive use
• Establish and improve ETL/ELT processes to ensure reliable, performant, and maintainable data flows
• Implement and monitor data observability practices (e.g., Application Insights) to proactively identify and resolve data issues
• Guide technical decision-making across .NET-based data services, including Entity Framework and related tooling
• Mentor and develop team members, elevating technical capabilities and promoting best practices across the data stack
• Champion data adoption across the organization by improving accessibility, usability, and trust in analytics outputs

Engineering Manager, Data & Analytics

• Lead and support engineering teams across Platform Engineering and Interoperability, ensuring alignment on architecture, delivery, and engineering standards, supporting the organization’s growth and focus areas
• Drive the design and evolution of core platform services, including identity (SSO/MFA), API gateway, and shared service layers used across products
• Own and scale identity and access management solutions (e.g., Keycloak), including federation, configuration, and secure authentication workflows
• Define and enforce best practices for API design and gateway management & governance, including authentication, rate limiting, and observability, ensuring APIs are observable, well-documented and developer friendly
• Lead the development and scaling of data integration architecture, including Apache NiFi and legacy HL7-based processing systems
• Drive migration of legacy data pipelines into modern frameworks while maintaining continuity and system reliability
• Design and optimize data flows across APIs (FHIR/REST), SFTP, and internal systems, supporting both batch and near real-time processing
• Establish integration patterns, standards, and reusable components that can be leveraged across teams
• Ensure strong data validation, transformation, and error-handling practices across all pipelines supporting easier troubleshooting
• Implement and evolve monitoring and observability practices (e.g., OpenSearch) to ensure system health and performance, with a focus on fast detection and recovery
• Partner with Product, Security, and Compliance to align platform and interoperability capabilities with regulatory and business needs, enabling great client and developer experiences
• Guide architectural decisions across platform and integration layers, ensuring consistency, scalability, maintainability and documentation
• Mentor engineers and technical leads, reinforcing best practices across platform services and data systems and modeling a growth mindset, raising the bar for engineering excellence
• Lead incident response and root-cause analysis for complex system and integration issues, and drive long-term resolution strategies that prevent recurrence

Junior Software Engineer – Automation, Tools

Junior QA Automation Engineer

Client Support Specialist

Engineering Manager, Data & Analytics

Manager, Engineering – Platform & Interoperability