Top Scala Jobs in Miami, FL

As a Forward Deployed Engineer, you will design and deliver custom fullstack applications on the Databricks platform, focusing on customer impact through technical solutions and collaboration.

Design, implement, and maintain APIs, architect and deploy microservices, build data pipelines, and optimize system reliability while collaborating with cross-functional teams.

As a Senior Backend Engineer at Eight Sleep, you will develop and maintain back-end services and improve data processing, supporting critical business logic in distributed systems.

Axoni seeks professionals for various roles in capital markets technology, focusing on software engineering, product management, and DevOps, among others.

As a Senior Full Stack Engineer, you will develop JavaScript applications, enhance the analytics platform, and improve app visibility based on user feedback.

The role involves designing, building, and scaling data pipelines, collaborating with cross-functional teams, and leading technical direction. It includes mentoring team members and promoting best practices in software development.

The Staff DevOps Engineer leads DevSecOps practices, architecting systems for scalability and security, mentoring teams, and optimizing CI/CD pipelines.

The Machine Learning Engineer will develop and enhance ML-powered products focusing on models, metrics, pipelines, and collaboration with product teams.

The Databricks Architect will design and implement data architecture solutions using Databricks, AWS, and Snowflake, focusing on MLOps and data governance.

The role involves data pipeline development and management using Azure stack, Scala, and Kafka, while ensuring data quality and efficiency with strong analytical skills.

The Azure Data Engineer will design and maintain data pipelines using Azure technologies, optimize data flows, and ensure data quality, collaborating with various stakeholders.

Lead the design and management of scalable data pipelines, develop canonical datasets, drive data architecture decisions, and partner with cross-functional teams to deliver impactful solutions.

Lead the design and development of a data platform, integrating data sources, driving architecture migration, and ensuring robust data governance and API development.

As a Sr Specialist Solutions Architect, you will guide customers to build big data solutions, manage implementations, and mentor others in the field.

The role involves architecting and maintaining scalable data pipelines, ensuring data quality, and collaborating on data strategy. Ideal candidates have experience with AWS services and data governance in healthcare.

Lead the design and implementation of systems for a real-time ML-based advertising stack, mentor engineers, and drive architectural direction.

As a Software Engineer, you'll design and build scalable data solutions, collaborate with teams for business requirements, ensure data quality, and mentor early career engineers.

Seeking a Senior Java Software Engineer for developing the Security Data Lake platform, focusing on data ingestion and processing while leading team features and ensuring code quality.

As a Senior Software Engineer, you'll build and improve Thrive's microservices and applications, collaborating with cross-functional teams to enhance health and productivity.

Develop and maintain scalable distributed systems for Machinify's AI platform, utilizing Java and Scala, with emphasis on database management and cross-functional collaboration.

Design and develop reliable distributed data systems to deliver high-quality data for Netflix's product, collaborating with data scientists and engineers.

Build a next-generation ML data and feature infrastructure platform to enhance the productivity of ML practitioners and improve feature accessibility.

Join Netflix's Algorithms team as a Machine Learning Software Engineer to design and develop solutions for personalization systems. Collaborate on scalable machine learning algorithms and enhance software engineering practices.

Develop and deploy machine learning models for real-time ad systems, optimizing inventory management, targeting, and campaign effectiveness for Netflix's advertising platform.

Lead the development of a data platform, enhancing data processing and query engines while mentoring team members and managing production issues.