Top Scala Jobs

As a Senior Software Engineer, you will design, implement, and operate microservices for the Databricks Platform, focusing on backend technologies and cloud integration.

As a Principal Software Engineer, you will build scalable data solutions, collaborate with cross-functional teams, and lead data engineering efforts for multiple domains.

The role involves providing strategic advice on implementing AI/ML workloads on Snowflake, designing solutions, and supporting customer teams with best practices.

As a Machine Learning Engineer, you will develop and maintain software solutions, ensuring functionality, efficiency, reliability, and scalability while working within a diverse technology stack.

The Staff DataOps Engineer will lead technical efforts to engineer high-quality revenue cycle management solutions, engage in the full software development lifecycle, and collaborate across teams to enhance processes and practices.

The role involves developing ML models, designing applications using GenAI, and engaging in the product lifecycle from architecture to deployment.

The Senior Data Engineer will lead data integration projects, work with technical teams for requirements, and mentor junior developers, focusing on Azure technologies.

Lead development of scalable data processing systems, collaborate with data scientists to optimize machine learning solutions, and deliver products that meet business objectives.

The Sr. SW Engineer designs scalable components, develops microservices, supports troubleshooting, and advocates for development best practices.

Lead and develop Pinterest's large-scale Experimentation Platform focusing on machine learning, big data, and technical strategies for maximized ML model performance.

Lead the development and optimization of Big Data tools and services, collaborating across teams and mentoring junior members in a high-scale Agile environment.

Develop high-performance distributed systems for real-time customer segment evaluations, improve system architecture, and collaborate on innovations using Agile methodologies.

As a Staff Backend Engineer, lead cross-functional projects, design microservices and machine learning pipelines, and mentor team members while ensuring optimal architecture and performance.

Design, implement, and deploy machine learning algorithms, manage algorithm lifecycle, and coordinate data efforts for large-scale applications.

As a Data Engineer, you will build large-scale data infrastructure, manage databases, enhance data quality, and collaborate closely with engineering teams to support business decisions and research.

Lead a full-stack engineering team to build and scale core lending products for small businesses while managing the technical vision and roadmap.

Develop and maintain applications for SpaceX's mission-critical software. Design solutions, build prototypes, and collaborate on software engineering projects.

The Software Engineer role focuses on designing back-end systems and developing secure, scalable features for web applications, enhancing services for users and restaurant partners.

The Staff Machine Learning Engineer will lead AI projects, build and optimize ML models, mentor team members, and collaborate across teams at Strava.

Design and maintain large-scale data pipelines, optimize systems, and improve architecture. Collaborate on product roadmap and own new projects.

Develop and maintain scalable software applications, manage an advertising platform, and collaborate with engineering teams to innovate and implement features.

Lead the design and development of Socure's Identity Graph project, overseeing engineering teams, ensuring compliance, and enhancing scalable data solutions.

The Senior Software Engineer will manage Pig and PySpark analytics development, ensure accurate data delivery, and oversee daily operations.

As a Sr. Staff Technical Solutions Engineer, you will resolve complex product issues for Databricks' strategic customers, utilizing your expertise in Spark and data technologies while collaborating with various teams to enhance customer experience.

Responsible for building a next-generation experimentation platform, developing high-performance distributed systems, and mentoring engineering teams for better standards.