Top Scala Jobs in San Antonio, TX

As a Senior Cloud Engineer, you will design, implement, and troubleshoot scalable applications in a Kubernetes ecosystem while collaborating across teams and writing maintainable code.

Manage the Ads API team, set technical vision, drive architectural decisions, ensure best practices, and collaborate with stakeholders to empower advertisers and partners.

Lead the Data Engineering practice, modernizing the data stack, building a data lakehouse, and supporting analytics and product needs.

Lead the design and maintenance of an RL-based bidding agent, enhance ML inference speed, and ensure high-quality production code while collaborating with the team.

As a Machine Learning Engineer, you will enhance ML algorithms, write production-level code, and collaborate within a distributed engineering team to optimize TV advertising technologies.

Lead solution design using Boomi, deliver hands-on implementations, provide pre-sales support, mentor junior developers, and contribute to AI/ML integration initiatives.

The Staff Data Scientist will develop predictive models, optimize supply and demand, perform testing, and mentor junior data scientists using advanced data science techniques.

The Software Engineer will develop and adapt formal methods tools for high-assurance software, supporting R&D projects and customer engagement. Responsibilities include using automated reasoning for software verification and addressing technical challenges relevant to national security.

The Staff Software Engineer will architect, implement, and maintain foundational ML infrastructure and feature stores for Reddit, collaborating across teams to advance ML capabilities.

The Senior Software Engineer, Data Platform will design, implement, and maintain scalable data platform components, collaborate with stakeholders, and ensure high-quality engineering practices while participating in Agile methodologies.

The Vice President of Engineering will lead Nutrafol's engineering department, oversee product delivery, drive innovation, and manage a diverse engineering team, ensuring alignment with business goals.

The Senior Data Engineer will build scalable data pipelines to process data, support platform efficiency, and enable smart analytics at Netflix.

The Senior Backend Engineer develops core product features in ETL and GraphQL, designs APIs, builds ETL pipelines, and collaborates with frontend teams.

The Data Platform Engineering Manager will lead a team to build scalable data solutions, oversee platform architecture, mentor engineers, and ensure operational stability and data governance.

The Senior Software Engineer will design, build, and maintain data services and infrastructure, focusing on high-performance and scalable systems, alongside collaboration for data features across the company.

As a Senior Data Engineer, you will architect core metrics for games, develop data models, implement pipelines, enforce data governance, and collaborate with stakeholders.

As a Backend Engineer, you will design and maintain backend systems for AI applications, integrate AI models, and optimize system performance while collaborating with product teams.

The Senior Machine Learning Engineer will design and implement high-performance CTR and CVR prediction models, refine systems for user behavior modeling, and ensure model reliability through performance monitoring while engaging with stakeholders.

Design and implement high-performance CTR and CVR prediction models, ensuring reliability and quality while collaborating with team leads on project direction.

The role involves designing and implementing distributed systems for batch inference workloads, creating developer-friendly APIs, and fostering engineering excellence.

As a Principal Software Engineer, you will build and optimize big data pipelines, design data architectures, and collaborate with scientists to enhance data quality and performance.

The role involves designing CLI and backend services, maintaining code quality, collaborating on technical issues, and writing documentation.

The Senior Data Engineer will design, develop, and maintain scalable cloud data infrastructure, optimizing data handling and collaborating across teams to enhance data strategies and quality.

The Big Data Engineer will design data pipelines, optimize data processing, write complex SQL queries, and collaborate with stakeholders while leveraging big data technologies and frameworks.

As a Customer Success Manager, you will maintain client relationships, guide onboarding, resolve issues, and gather product feedback to ensure client satisfaction.