Senior Software Engineer I, Backend

Summary

Join Aledade as a Senior Software Engineer I and contribute to the maintenance, improvement, and expansion of our web application and data pipelines. You will develop and implement scalable and performant solutions, collaborating with engineering managers, product managers, and stakeholders. Mentorship and coaching of junior engineers are key aspects of this role, requiring thorough pull request reviews and receptiveness to feedback. The ideal candidate possesses a strong background in full-stack web application development, SQL, and large datasets, along with experience in technical decision-making and coaching. A focus on creating secure, maintainable, and scalable solutions is paramount, emphasizing strategies that minimize risk through observability, alerting, metrics, and frequent releases.

Requirements

• BS/BTech (or higher) in Computer Science, Engineering or a related field
• 4+ 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
• 2+ years of experience acting as a trusted technical decision-maker in a team setting, solving for short-term and long-term business value
• 2+ years of experience coaching other engineers

Responsibilities

• 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

Preferred Qualifications

• Experience building robust,scalable ETL/ELT pipelines using orchestration tools(e.g., Airflow)
• Experience architecting and implementing batch and streaming data pipelines using Python ,Spark or SQL based technologies
• Experience implementing automation around validation and testing framework
• 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 performance tuning existing workflows and introducing automation to reduce manual operational overhead and manual touch point
• In-depth knowledge of database systems
• Familiarity with  database replication, sharding and other techniques for scalability and high availability of databases