Aledade

Aledade

Aledade collaborates with independent practices, health centers, and clinics to establish and manage Accountable Care Organizations (ACOs) that prioritize primary care, enabling physicians to enhance patient care while maintaining their independence in...

Health Care Providers & Services
1K-5K
Founded 2014
$686M raised

Description

  • Build and maintain the Data AI agent to automate data analysis use cases within Aledade.
  • Partner with stakeholders and Product to define requirements, shape work, and influence product strategy and execution.
  • Propose design patterns, create design documents, and develop prototypes for new solutions.
  • Design and implement scalable, performant solutions and maintain code architecture and quality standards.
  • Support data modeling, API maintenance, and metadata governance.
  • Work across disciplines to deliver iterative solutions that reduce manual work and deliver business value.
  • Mentor and coach engineers while fostering a positive team culture.
  • Lead engineering processes and uphold standards that support high-quality engineering.
  • Write user documentation and participate in the full software development lifecycle.

Requirements

  • BS/BTech or higher in Computer Science, Engineering, or a related field.
  • 8+ years of production-level experience building highly scalable systems.
  • 4+ years of experience as a trusted technical decision-maker in a team setting.
  • 4+ years of experience working with SQL or other database querying languages on large multi-table datasets.
  • Experience architecting, developing, and deploying large-scale distributed systems.
  • Experience with cloud technologies such as AWS, Azure, or GCP.
  • Experience building continuous integration and continuous deployment (CI/CD) pipelines.
  • Strong familiarity with server-side web technologies such as Java, Python, Scala, C#, C++, or Go.
  • Experience building highly scalable and reliable infrastructure (preferred).
  • Experience designing, building, and optimizing data pipelines and ETL processes (preferred).
  • Proficiency with both OLTP and OLAP database technologies such as Postgres, Snowflake, or Databricks (preferred).
  • Experience with data modeling; dbt experience is a bonus.
  • Experience building AI agents, including MCP tools, evals, and feedback loops, is a plus.
  • Experience building and maintaining APIs such as REST or GraphQL (preferred).
  • Ability to drive projects and shape work for other engineers.
  • Familiarity with replication and pub-sub technologies such as Kafka (preferred).
  • Experience with performance monitoring and infrastructure optimization, including Kubernetes resource calibration (preferred).
  • Experience with containerization and orchestration technologies such as Docker and Kubernetes (preferred).
  • Experience with security and systems that handle sensitive data (preferred).

Benefits

  • Remote position in the United States.
  • Full-time employment.
  • Opportunity to work on an ambitious AI/data automation project with real business impact.

Interested in this position?

Apply directly on the company website

Apply Now

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