Senior Software Engineer I, Backend

As a Senior Software Engineer I at Keystone AI , 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. Primary Duties: Develop and implement scalable and performant solutions. Partner, as a peer, with Engineering Managers, Product Managers, and stakeholders throughout Keystone AI 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. Minimum Qualifications: 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. Preferred KSA’s: 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. Physical Requirements: Sitting for prolonged periods of time. Extensive use of computers and keyboard. Occasional walking and lifting may be required. Originally posted on Himalayas