Top Scala Jobs in Salt Lake City, UT

Manager, Software Engineering role at ServiceNow leading the Data Streaming team in San Diego office. Responsible for managing and leading a team of 6 engineers, collaborating on day-to-day activities, mentoring engineers, and contributing to team projects. Must have 6+ years of software industry experience and 2+ years of managerial experience.

Lead the development of a petabyte-scale data platform in the cloud and support Cruise's ML Data Platform tools, frameworks, and services. Responsible for building scalable, transparent, and reliable data ingestion and management systems.

Looking for a Senior Generative AI Engineer to build and maintain APIs and SDKs for training and accessing AI models at scale. Collaborate with a team to design and implement key API products for real-time customer-facing applications. Responsibilities include architecture, development of core APIs, application-specific interfaces, GenAI capabilities, and AI safety implementations.

Atticus, a Series B startup, is seeking a Senior Software Engineer for their backend team. The role involves designing, building, and operating APIs with a focus on performance, modularity, and reliability, working collaboratively with other engineers, evaluating storage technologies, and contributing to the company's mission of helping people in crisis find legal support. Qualifications include expertise in JavaScript, Golang, Java, Python, Scala, or Ruby, experience in backend system development, mentoring skills, version control knowledge, code testing practices, and objective judgment.

Lead Data Engineer position at FreeWheel, a Comcast company, responsible for building and evolving the Audience & Identity data platform using cutting-edge technologies. Collaborate with stakeholders, design data processing pipelines, acquire new data sources, manage data tools and frameworks, and contribute to technical vision.

The Staff Software Engineer will be responsible for developing and implementing machine learning algorithms and models, optimizing existing models, preprocessing and analyzing large datasets, and deploying machine learning models to production environments. They will collaborate with cross-functional teams, communicate technical concepts to non-technical stakeholders, and identify and implement optimizations to enhance performance and efficiency. This is a senior-level position with a focus on machine learning and artificial intelligence.

Deliver high-quality, maintainable code. Operationally ensure services meet uptime and availability SLAs. Collaborate with product managers, engineers, and architects to design and implement features and improvements throughout multiple areas of the platform. Mentor junior engineers and interns with a growth mindset. Design and build distributed services that are fault-tolerant, scalable, testable, maintainable, and work with large amounts of data on the cloud.