Top Python Jobs in San Antonio, TX

The Software Engineer role involves building and scaling data pipelines, processing and ingesting large datasets, and developing ETL processes. Collaboration with various stakeholders to ensure data integrity and delivering insights is key.

As a Staff Back End Engineer at MotiveMetrics, you will develop and maintain customer-facing applications while ensuring high quality and system stability. You will lead and mentor a team, focusing on building distributed systems and scaling them using cloud technologies. Your role will involve designing, deploying, and automating workflows within a fast-paced tech environment.

As a Senior ML Engineer, you will develop and optimize machine learning APIs, particularly focusing on large language models. Responsibilities include designing system architectures, enhancing inference processing, and collaborating with various engineering teams to ensure high performance and reliability of ML services.

The Staff Software Engineer will focus on developing and managing cryptographic security tools and libraries at Gemini, enhancing the security of digital assets. Responsibilities include building software for multi-party computation, applying cryptographic methods, maintaining security solutions, and collaborating closely with multiple engineering teams.

As a Software Engineer at Acryl Data, you'll enhance a Python-based ingestion framework to support data ingestion from various systems like Snowflake, Redshift, and Kafka. Your role involves building connectors for major systems in the modern data and ML stacks and enabling the ingestion framework to operate in a cloud-native environment.

The Site Reliability Engineer will enhance the reliability and uptime of Fetch's services by engaging in the complete lifecycle of services, from design to deployment, monitoring performance, and employing automation for scale. They will participate in incident response and work within a diverse team to improve systems sustainably.

The Staff Software Engineer will lead cross-functional teams to enhance data workflows and deliver data solutions. This role involves architecting, implementing technical systems, collaborating with product teams, mentoring engineers, and managing complex projects to align with organizational goals.