Staff Software Engineer- Risk Platform at Aledade

You're a seasoned Staff Software Engineer with at least 8 years of production experience, holding a BS/BTech in Computer Science or a related field. You have a

Work type: remote

Location: Remote, United States

Type: Full-time

Summary

You're a seasoned Staff Software Engineer with at least 8 years of production experience, holding a BS/BTech in Computer Science or a related field. You have a proven track record in architecting and deploying large-scale distributed systems and possess deep expertise in SQL or other database querying languages. **What makes it worth a look...** This fully remote, full-time role is with Aledade. You'll be building the next generation of distributed data storage and processing systems, moving beyond traditional SQL engines and batch pipelines to create infinitely scalable solutions with superior query performance. **You might be a good fit if you...** * Have 4+ years of experience as a trusted technical decision-maker, balancing short-term and long-term business value. * Possess experience with cloud technologies like AWS, Azure, or GCP. * Are proficient in server-side web technologies such as Java, Python, Scala, C#, C++, or Go. * Have built CI/CD pipelines.

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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## Physical Requirements:

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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