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 productionlevel experience as an engineer building highly scalable systems.
4 years of experience acting as a trusted technical decisionmaker in a team setting solving for shortterm and longterm business value
4 years of experience working with SQL or other database querying languages on large multitable data sets
Experience architecting developing and deploying largescale distributed systems at scale
Experience with cloud technologies e.g. AWS Azure GCP
Experience building continuous integration and continuous development (CI/CD) pipelines
Strong familiarity with serverside web technologies (eg: Java Python Scala C# C Go)
Bonus
Working knowledge of healthtech systems like Electronic Health Records Clinical data etc.
8 years of productionlevel experience as an engineer building highly scalable and reliable infrastructure
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 largescale data processing and analysis
Indepth 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
Experience building continuous integration and continuous deployment(CI/CD) pipelines
Experience with security and systems that handle sensitive data
Responsibilities:
Identify and develop scalable and performant solutions.
Work across discipline to shape product strategy and
Develop the foundations of code architecture and quality.
Mentor and coach engineers
Set and uphold the standard for engineering processes to support highquality engineering.
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