Aledade5mo ago

Senior Software Engineer II- Backend

United StatesRemoteFull Timesenior

Backend EngineeringSoftware EngineerSoftware Engineering

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Overview

As a Senior Software Engineer II at Aledade, we maintain, improve, and expand our web application and data pipelines.

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Backend EngineeringSoftware EngineerSoftware Engineering

As a Senior Software Engineer II at Aledade, we maintain, improve, and expand our web application and data pipelines. We're looking for engineers who know that writing new code is not always the solution to a problem, but when technological changes are needed they create secure, maintainable, performant, correct, scalable, and stable solutions to the complex and unique challenges in our corner of the healthcare industry.

They embrace strategies that minimize risk, leaning towards observability, alerting, metrics, high test coverage, and frequent releases that incrementally build value.

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.

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.