Top Scala Jobs in Atlanta, GA

As a Fullstack Engineer, you'll design, build, and operate web applications, collaborating with product teams and mentoring peers while ensuring best practices in coding and system architecture.

Develop and deploy scalable AI solutions, mentor engineers, manage CI/CD practices, and collaborate with teams on AI initiatives at Bank of America.

Develop and deliver AI and Gen AI solutions, mentor other engineers, automate processes, and ensure compliance in an agile environment.

Lead the design and optimization of ML systems at Scribd, managing cross-team projects, mentoring engineers, and shaping technical direction for ML initiatives.

The Software Engineer II will design and optimize distributed systems for processing metadata, collaborating closely with cross-functional teams to integrate machine learning models into production pipelines.

The Senior Software Engineer will design and implement an automated data lake solution, collaborating with Agile teams, and centralizing analytics data.

Design and implement the zkSync smart contract platform, develop system contracts, and shape protocol roadmap in collaboration with teams and partners.

Lead the design and maintenance of infrastructure and deployment tools, mentor other engineers, and enhance product delivery processes.

Lead design and implementation of health data products, mentor engineers, own multiple projects, and develop scalable data solutions using modern technologies.

Lead design and implementation of products, mentor engineers, drive innovation, and build scalable data solutions using modern tech stack.

Lead product design and implementation, mentor engineers, manage projects, and drive innovation in healthcare data solutions.

As a Senior Data Engineer, you will architect data platforms, collaborate across teams, and implement scalable data infrastructures for healthcare data integration.

As a Software Engineer in Revenue Finance Infrastructure, you will design and evolve architectures for scalable revenue financial workflows, handle massive data processing, and collaborate with cross-functional teams.

Design and build scalable data solutions, lead technical projects, mentor engineers, and improve data infrastructure while collaborating with cross-functional teams.

The Data Engineer III is responsible for designing and maintaining scalable data infrastructure, optimizing data pipelines, and collaborating on analytics projects. They must have strong technical skills in cloud platforms and data processing frameworks, while mentoring junior team members.

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.

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.

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

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

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.

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

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

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.