Aledade

Aledade, a public benefit corporation, exists to empower the most transformational part of our health care landscape - independent primary care. We were founded in 2014, and since then, we've become the largest network of independent primary care in the country - helping practices, health centers and clinics deliver better care to their patients and thrive in value-based care. Additionally, by creating value-based contracts across a wide variety of health plans, we aim to flip the script on the traditional fee-for-service model. Our work strengthens continuity of care, aligns incentives and ensures primary care physicians are paid for what they do best - keeping patients healthy. If you want to help create a health care system that is good for patients, good for practices and good for society - and if you're eager to join a collaborative, inclusive and remote-first culture - you've come to the right place.

Staff Software Engineer- Risk Platform

Software EngineerSoftware EngineerFull TimeRemoteTeam 1,001-5,000

Location

United States

Posted

6 days ago

Salary

Not specified

No structured requirement data.

Job Description

As a Staff Software Engineer, you will take us beyond traditional monolithic SQL engines and batch pipelines. You will build the next generation of distributed data storage and processing systems. You will build systems that can scale indefinitely, and surpass traditional query performance, while making the interfaces for that data simple, expressive, and cleanly abstracted. Your interfaces will support a broad array of data consumers, from our web application, to business analytics, and artificial intelligence.

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Primary Duties:
  • Identify and develop scalable and performant solutions. 
  • Work across discipline to shape product strategy and execution.
  • Develop the foundations of code architecture and quality. 
  • Mentor and coach engineers.
  • Set and uphold the standard for engineering processes to support high-quality engineering. 


Minimum Qualifications:
  • BS/BTech (or higher) in Computer Science, Engineering or a related field required. 
  • 8+ years of production-level experience as an engineer building highly scalable systems.
  • 4+ years of experience acting as a trusted technical decision-maker in a team setting, solving for short-term and long-term business value.
  • 4+ years of experience working with SQL or other database querying languages on large multi-table data sets.
  • Experience architecting, developing, and deploying large-scale distributed systems at scale.
  • Experience with cloud technologies, e.g., AWS, Azure, GCP.
  • Experience building continuous integration and continuous development (CI/CD) pipelines.
  • Strong familiarity with server-side web technologies (eg: Java, Python, Scala, C#, C++, Go).


Preferred KSAs:
  • 8+ years of production-level experience as an engineer building highly scalable and reliable infrastructure.
  • 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.
  • Experience working with AWS technologies, Kafka etc.
  • 6+ years of experience working with with CSS/HTML/Javascript and modern JavaScript frameworks (e.g., React, Angular, VueJs/Ember).
  • 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.
  • Knowledge of data security principles and ensuring compliance with regulations (e.g., GDPR, HIPAA) through proper data governance practices.
  • Lead and mentor junior engineers, providing guidance and support in their professional development.


Physical Requirements:
  • Sitting for prolonged periods of time. Extensive use of computers and keyboard. Occasional walking and lifting may be required.


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