Top Senior Level Scala Jobs

The Senior Solutions Architect will lead growth at Databricks by providing technical leadership in cloud platforms and data engineering. Responsibilities include designing data architectures, consulting on big data systems, and working with customers to implement effective solutions. The role involves collaboration with sales and technical teams, as well as travel to customer sites for support.

The Senior AI/ML Ops Engineer will oversee the AI/ML model lifecycle, ensuring high data quality and reliability while implementing efficient model workflows. Responsibilities include collaborating with data engineers, designing feature stores, enhancing CI/CD pipelines, and improving operational excellence. This hands-on role in a low-overhead team emphasizes strategic decisions in technology and infrastructure deployment.

The Senior Software Engineer will design, develop, and optimize the computation engine and data platform backend for Alloy.ai. Responsibilities include collaborating with teams to integrate systems, leading architectural design, mentoring junior engineers, and staying updated on technologies related to query engines and databases.

The Lead Cloud Engineer will design and architect a scalable cloud service platform for health products, collaborating with cross-functional teams to develop and optimize performance and reliability. This role involves leading technology development and contributing to product roadmaps.

As a Senior Software Engineer for the Polaris and Data Lake Catalog team, you will design and implement scalable distributed systems, work on interoperability with external Iceberg catalogs, develop high-performance solutions, and contribute to data governance features. Your role will also involve collaborating with open-source teams and enhancing services related to data lakes and catalogs.

The Senior Staff ML Infra Engineer will design and implement efficient software solutions for handling large volumes of data used for training complex ML models. The role includes optimizing data pipelines for Search & Discovery, developing scalable ML infrastructure, and serving ML models to enhance customer search and discovery experiences.

Lead the Content Delivery team at Tubi to optimize the content distribution pipeline. Manage engineers while collaborating with cross-functional teams, enhancing the reliability of the content platform and overseeing the improvement of distributed systems.