Sr. Software Engineer - AI Platforms and Automation

At IMO Health, we combine strengths in software development, artificial intelligence, and clinical expertise to create AI-driven solutions that enhance access to reliable health information, support clinical decision-making, and improve patient outcomes. We are looking for a **Sr. Software Engineer** to own and evolve the internal software platforms that support IMO Health's terminology and knowledge graph initiatives. This role will maintain and enhance production applications, APIs, integrations, and AI-enabled workflows that help teams create, manage, and deliver high-quality clinical data. The ideal candidate is a strong software engineer who enjoys owning complex systems, improving reliability, and partnering across technical and business teams to evolve AI-enabled solutions. ### WHAT YOU’LL DO: **Own and enhance internal platforms** - Maintain and enhance internally developed applications and tooling that supports terminology management, content creation, mapping, workflow automation, and content delivery. - Build and maintain integrations across internal applications, APIs, knowledge bases, databases, and AI services. - Contribute to the design and implementation of new automation and AI-enabled capabilities as business needs evolve. **Support reliable production systems** - Own operational support for AI-enabled applications and workflows in production, including troubleshooting, incident response, release coordination, and ongoing maintenance. - Manage application deployments, infrastructure configuration, monitoring, alerting, and operational support for AWS-hosted applications and services. - Investigate production issues, perform root-cause analysis, and implement durable solutions that improve reliability. **Enable AI-powered workflows** - Support AI agents and workflow automation capabilities as they mature from pilot initiatives into scalable production solutions. - Develop and troubleshoot cloud-based workflows using AWS services such as Bedrock, Lambda, Glue, S3, IAM, CloudWatch, and MWAA/Airflow. - Implement testing, monitoring, and operational readiness practices that improve the quality and reliability of AI-enabled workflows. **Collaborate across teams** - Partner with clinical, terminology, product, data science, and engineering teams to improve AI-enabled workflows while maintaining appropriate human review and auditability. - Mentor team members and promote software engineering best practices for secure, maintainable, and production-ready systems. ### WHAT YOU’LL NEED: - Bachelor's or Master's degree in Computer Science, Software Engineering, Data Engineering, Machine Learning, or a related technical field; equivalent professional experience will also be considered. - 7+ years of professional experience in software engineering, backend engineering, platform engineering, DevOps, MLOps, cloud engineering, or a related discipline, including experience supporting production systems. - Strong proficiency in Python and experience building maintainable services, APIs, internal tools, jobs, or workflow automation in production environments. - Experience designing, deploying, and supporting cloud-based applications in AWS environments, including hands-on experience with services such as Amazon Bedrock, Lambda, S3, IAM, CloudWatch, Glue, MWAA/Airflow, or similar technologies. - Experience with CI/CD pipelines, Git-based development workflows, automated testing, configuration management, and release practices. - Experience with Docker, Kubernetes or other containerized services, Terraform or Infrastructure-as-Code, and production monitoring/alerting tools. - Experience with workflow orchestration, data pipelines, or job scheduling tools such as Airflow/MWAA, Glue, Lambda, cron-based jobs, or equivalent technologies. - Working knowledge of SQL and relational databases such as PostgreSQL; experience with distributed data or search systems is a plus. - Experience building or supporting AI-enabled applications using…