Top Scala Jobs in San Antonio, TX

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

The Senior Software Engineer will design and build API management solutions, utilizing SOA patterns and enterprise security for cloud and on-prem applications.

As a Senior Site Reliability Engineer, you will ensure our software systems' availability and performance, develop tools for reliability, and lead projects. You will collaborate with teams and design solutions to enhance system operations.

The Backend Software Engineer will build scalable backend systems, work with databases like Postgres and MongoDB, and improve API performance.

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

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.

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.

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.

This role involves providing technical leadership and support to partners using Databricks to develop B2B products, focusing on solution architecture and implementation guidance.

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 analyzing data security, designing Databricks components for access control, and collaborating on architecture documentation.

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

Lead a team in developing an AI platform that enhances healthcare. Drive technical solutions, build a high-performing team, and collaborate with stakeholders to achieve business outcomes.

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.

As a Machine Learning Engineer, you will design systems for safe data ingestion and optimize data usage to enhance models and products, collaborating closely with the Product team and customers.

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

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.

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.

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

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

Transform the Document Data Model to improve scalability and performance, build APIs and backend services, enhance observability, mentor team members, and participate in code reviews and on-call support.