Job Overview
Location
United States
Job Type
Full-time
Category
Software Engineering
Date Posted
May 23, 2026
Full Job Description
đź“‹ Description
- • Develop and maintain automation tools and internal software systems to improve operational efficiency across public health data workflows.
- • Collaborate with engineering and product teams to identify bottlenecks in data ingestion, validation, and reporting processes, then design automated solutions to resolve them.
- • Write clean, testable, and documented code in Python and other scripting languages to support automation of repetitive tasks within the SaaS platform.
- • Integrate with third-party APIs and public health data sources to enable seamless data flow between systems while ensuring data integrity and compliance.
- • Participate in code reviews and contribute to team standards for version control, testing, and deployment practices using Git and CI/CD pipelines.
- • Assist in troubleshooting production issues related to automation scripts and tools, providing timely resolutions to maintain system reliability.
- • Work closely with public health clients’ technical teams to understand their data needs and translate them into scalable automation requirements.
- • Contribute to the documentation of internal tools, workflows, and automation processes to ensure knowledge sharing and onboarding efficiency.
- • Support the deployment and monitoring of automation tools in cloud-based environments, including AWS or similar platforms.
- • Proactively seek feedback from teammates and stakeholders to refine tool functionality and improve user experience for internal and client-facing systems.
- • Embrace a virtual-first culture that emphasizes individual accountability, teamwork, and relentless focus on client outcomes in public health.
- • Demonstrate curiosity by asking questions to deeply understand system architecture, data models, and public health workflows to enhance automation effectiveness.
- • Maintain high organizational standards by tracking tasks, meeting deadlines, and holding yourself and peers accountable for quality deliverables.
- • Contribute to a culture of open and honest feedback to foster professional growth and continuous improvement in tooling and processes.
- • Recognize that your work directly impacts disease surveillance, outbreak response, and population health outcomes across the United States.
🎯 Requirements
- • Proficiency in Python for building automation scripts and tools
- • Experience with version control systems such as Git
- • Familiarity with cloud platforms (e.g., AWS) and CI/CD pipelines
- • Strong problem-solving skills and ability to troubleshoot technical issues
- • Ability to work independently and take initiative in a virtual-first environment
- • Excellent communication skills for collaborating with cross-functional teams
🏖️ Benefits
- • Opportunity to directly impact public health outcomes by stopping the spread of disease
- • Virtual-first culture with emphasis on teamwork, accountability, and professional growth
- • Open and honest feedback culture that supports continuous learning and development
- • Work alongside world-class experts in epidemiology, informatics, and disease surveillance
Skills & Technologies
About InductiveHealth, Inc.
InductiveHealth provides cloud-based public health surveillance and analytics software. Its platform ingests, validates and analyzes electronic laboratory and case report data to help state and local health departments monitor infectious diseases, manage outbreaks and meet CDC reporting requirements. The system automates case investigation workflows, supports HL7/FHIR interoperability and offers AI-driven anomaly detection. Founded in 2019 and headquartered in Atlanta, Georgia, the company focuses on modernizing legacy surveillance systems for public health agencies across the United States.
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