Senior Software Engineer – Backend

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November 20

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Aledade, Inc.

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Healthcare Insurance • Enterprise

Aledade, Inc. is a public benefit corporation that operates as the largest network of independent primary care practices in the United States. The company specializes in Accountable Care Organizations (ACOs), which help primary care practices and health centers improve patient outcomes and generate sustainable revenue through value-based care solutions. Aledade offers data insights, support, and business solutions to achieve sustainability and clinical autonomy. It collaborates with a wide range of healthcare providers, including primary care practices, community health centers, and network ACOs, ensuring improved quality of care and patient satisfaction. With operations in 45 states and affiliations with over 20,000 clinicians serving more than 2. 5 million patients, Aledade is committed to reducing care fragmentation and enhancing the overall quality of life for clinicians and patients alike.

501 - 1000 employees

Founded 2014

⚕️ Healthcare Insurance

🏢 Enterprise

📋 Description

• Develop and implement scalable and performant solutions. • Partner, as a peer, with Engineering Managers, Product Managers, and stakeholders throughout Aledade to develop and execute technical roadmaps using Agile processes. • Mentor and coach more junior engineers including thorough pull request reviews for other developers and be receptive to critical feedback on your own work.

🎯 Requirements

• BS/BTech (or higher) in Computer Science, Engineering or a related field. • 6+ years experience as an engineer building full-stack web applications as part of a cross-functional team. • 3+ years of experience working with SQL or other database querying language on large multi-table data sets. • 3+ years of experience acting as a trusted technical decision-maker in a team setting, solving for short-term and long-term business value. • 3+ years of experience coaching other engineers. • Experience in designing, building and optimizing data pipelines and ETL processes. • Proficiency in working with large datasets and knowledge of data storage technologies. • Experience working with data ingestion systems and optimizing performance for handling large-scale data processing and analysis. • In-depth knowledge of database systems. • Familiarity with database replication, sharding and other techniques for scalability and high availability of databases. • Experience in performance monitoring and optimization of data systems and infrastructure. • Experience with containerization and orchestration technologies such as Docker and Kubernetes. • Experience building continuous integration and continuous deployment(CI/CD) pipelines. • Experience with security and systems that handle sensitive data.