Top Scala Jobs in San Antonio, TX

The Senior Software Engineer in the Life Sciences Team will enhance Domino Datasets functionality through API access, improve version control in Domino Projects, design regulatory compliance features, implement audit logging, automate data version tracking, and optimize workspace performance using Kubernetes technology.

As a Principal Software Engineer in the Data Platform group, you'll lead the design and delivery of a new self-service data enrichment platform while improving query performance, processing petabytes of data, and driving customer-focused analytics features.

The Backend Engineer will focus on backend development, utilizing skills in software design, scalable architecture, and unit testing methodologies while working with AWS and relational databases. Candidates should possess strong problem-solving abilities and a proactive approach to teamwork.

As a Senior Staff Software Engineer, you will lead projects within the Online Infrastructure team, shaping Affirm's strategy for computing workload management. Your responsibilities include designing frameworks and tools for secure scalability, mentoring engineers, and collaborating across teams to meet business needs.

The Senior Software Engineer will join the blockchain product team to lead engineering efforts, design and support customer-facing products on distributed ledger technology, provide technical support, and document features and resolutions. Responsibilities include triaging software issues and prioritizing customer requests.

As a Staff Software Engineer - Ingestion at SentinelOne, you'll lead the development of the security data lake, focusing on features related to data ingestion and processing. Your role encompasses software development, code review, documentation of architectural details, and on-call rotation support, primarily using modern technologies like Java and cloud services.

As a Staff Software Engineer in the Workflow Orchestration team, you will design and build frameworks for data development workflows, develop automation tools, and maintain data engineering tooling. You will collaborate with cross-functional teams to optimize processes and enhance data capabilities on a global scale.