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.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 value4+ years of experience working with SQL or other database querying languages on large multi-table data setsExperience architecting, developing, and deploying large-scale distributed systems at scaleExperience with cloud technologies, e.g., AWS, Azure, GCPExperience building continuous integration and continuous development (CI/CD) pipelinesStrong familiarity with server-side web technologies (eg: Java, Python, Scala, C#, C++, Go)
BonusWorking knowledge of health-tech systems, like Electronic Health Records, Clinical data, etc.8+ years of production-level experience as an engineer building highly scalable and reliable infrastructureExperience in designing, building and optimizing data pipelines and ETL processesProficiency in working with large datasets and knowledge of data storage technologiesExperience working with data ingestion systems and optimizing performance for handling large-scale data processing and analysisIn-depth knowledge of database systemsFamiliarity with  database replication, sharding and other techniques for scalability and high availability of databasesExperience in performance monitoring and optimization of data systems and infrastructureExperience with containerization and orchestration technologies such as Docker and KubernetesExperience building continuous integration and continuous deployment(CI/CD) pipelinesExperience with security and systems that handle sensitive dataResponsibilities: Identify and develop scalable and performant solutions. Work across discipline to shape product strategy and executionDevelop the foundations of code architecture and quality. Mentor and coach engineers Set and uphold the standard for engineering processes to support high-quality engineering.