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

  • Architect complex systems and make critical technical decisions for the data platform and infrastructure stack.
  • Solve challenging technical problems in data orchestration, low-latency processing, and developer velocity.
  • Partner with product and engineering leadership to translate technical strategy into business impact.
  • Guide multiple engineering teams and influence architecture across dozens of teams.
  • Mentor engineers and promote engineering excellence across the organization.
  • Contribute to technical roadmaps and strategic planning for a unified data platform.
  • Evaluate new technologies and lead innovation initiatives.
  • Build systems from conception through global scale, with both hands-on coding and high-level architectural leadership.
  • Align technical strategy with business goals through cross-functional collaboration.

Requirements

  • BS/BTech or higher in Computer Science, Engineering, or a related field.
  • 10+ years of production-level experience building highly scalable systems.
  • 6+ years of experience as a trusted technical decision-maker balancing short-term and long-term business value.
  • 4+ years of experience 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 CI/CD pipelines.
  • Strong familiarity with server-side web technologies such as Java, Python, Scala, C#, C++, or Go.
  • 10+ years of experience building highly scalable and reliable infrastructure is preferred.
  • Experience architecting or implementing AI-driven features and translating AI capabilities into scalable products is preferred.
  • Proven track record leading end-to-end architecture and delivery for large teams of 50+ engineers is preferred.
  • Experience working with data ingestion systems and optimizing large-scale data processing and analysis is preferred.
  • Deep hands-on expertise with cloud infrastructure, event streaming such as Kafka, data processing tools such as Databricks and Kafka, and large-scale database systems is preferred.
  • Familiarity with database replication, sharding, and other scalability and high-availability techniques is preferred.
  • Experience engineering systems for scalability, high availability, and security, especially for sensitive or regulated data, is preferred.
  • Experience building observability platforms, performance monitoring, and optimization frameworks is preferred.
  • Expertise in containerization and orchestration technologies such as Docker and Kubernetes, and modern CI/CD pipelines is preferred.
  • Experience with health-tech systems such as electronic health records or clinical data is desired.

Benefits

  • Remote-first work environment with flexible work schedules available for many roles.
  • Health, dental, and vision insurance paid up to 80% for employees, dependents, and domestic partners.
  • Robust time-off plan, including 21 days of PTO in the first year, two paid volunteer days, and 11 paid holidays.
  • 12 weeks of paid parental leave for all new parents.
  • Six weeks of paid sabbatical after six years of service.
  • Educational Assistant Program and Clinical Employee Reimbursement Program.
  • 401(k) with up to 4% match and stock options.

Interested in this position?

Apply directly on the company website

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