Solution Advancement Engineer, Analytics Products
New
J
JobgetherHealthcare analytics
Remote within the United StatesFull-TimeMiddle
SalaryEstimated annual base salary ranging from $110,000 to $150,000; estimated total compensation, including incentive opportunities, ranging from $126,500 to $172,500.
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Job Details
- Experience
- At least 6 years of software development experience
- Required Skills
- DockerPythonJenkinsR
Requirements
- Bachelor's degree in Computer Science, Data Science, Engineering, or a related discipline, or equivalent professional experience.
- At least 6 years of software development experience.
- Demonstrated ownership of a production software product across its full lifecycle.
- Strong proficiency in Python for designing, building, testing, deploying, and maintaining production-ready applications.
- Working proficiency in R and experience developing interactive analytics applications, particularly with Shiny.
- Practical experience developing LLM-powered or agent-based applications, including familiarity with Pydantic AI, RAG, structured outputs, or comparable agent orchestration frameworks.
- Hands-on experience with Docker and containerized application deployment, including deployment scripting, version management, rollback procedures, and production support.
- Ability to manage client-facing analytics or software products end to end, including data pipelines, application interfaces, testing, stakeholder validation, and client approval.
- Experience working with data pipelines and cloud infrastructure; AWS Athena, S3, and RDS experience is particularly valuable.
- Ability to manage multiple client engagements, prioritize deliverables, adapt to changing requirements, and meet project milestones.
- Current authorization to work in the United States is required.
Responsibilities
- Lead deployment, configuration, maintenance, quality control, UAT, and client sign-off for healthcare analytics applications.
- Design and implement AI agent platform capabilities, including LLM agent loops, subagent architectures, registry and dispatch mechanisms, structured outputs, and evaluation frameworks.
- Build and enhance interactive analytics applications using Python, R, and Shiny.
- Maintain Docker-based deployment infrastructure, version tagging, rollback procedures, and CI/CD workflows using tools such as Jenkins.
- Develop and maintain client data pipelines using AWS Athena, S3, and RDS.
- Work with healthcare clients and clinical consultants to understand workflows, reporting requirements, operational metrics, and business needs.
- Translate stakeholder feedback and UAT findings into product improvements, user experience enhancements, and architectural decisions.
- Coordinate comparison testing, resolve discrepancies, and improve product reliability, performance, and delivery speed.
- Contribute to platform design decisions, engineering best practices, and the evolution of analytics and AI capabilities.
- Provide technical guidance and knowledge sharing to other engineers.
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