Offer summary

Qualifications:

Bachelor's degree in Computer Science, Engineering, or related field., At least 8 years of experience building scalable systems., Over 4 years of experience with SQL and large multi-table data sets., Experience with cloud platforms like AWS, Azure, or GCP..

Key responsibilities:

Develop scalable and high-performance data storage and processing systems.

Collaborate across teams to shape product strategy and execution.

Establish and maintain engineering standards and best practices.

Mentor and coach engineering team members.

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.

Primary Duties:Identify and develop scalable and performant solutions.
Work across discipline to shape product strategy and execution.
Develop the foundations of code architecture and quality.
Mentor and coach engineers.
Set and uphold the standard for engineering processes to support highquality engineering.

Minimum Qualifications:
BSBTech (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 (CICD) pipelines.
Strong familiarity with serverside web technologies (eg: Java, Python, Scala, C#, C++, Go).

Preferred KSAs:
8+ years of productionlevel experience as an engineer building highly scalable and reliable infrastructure with at least 3 years focused on AIML.
Experience leading large cross functional data initiatives from ideation to implementation , helping share data platform direction,aligning all the teams and driving broader impact across the organization.
Experience building low latency data pipelines that serve structured, semi structured and unstructured data for ML and analytics use cases.
Strong understanding of data modeling, optimization and feature engineering for ML use cases.
Experience building robust data lineage ,auditing, data quality automation standards for AIML related systems.
Indepth knowledge of database systems and expertise in data processing frameworks (e.g. Spark, Airflow) and strong python and SQL skills.
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.