Top Software Engineer Jobs in San Antonio, TX

The Engineering Manager will lead a team focused on software for school nutrition, managing performance, driving delivery, and collaborating on modernization efforts while ensuring high-quality engineering practices.

The Senior Software Engineer will enhance AI system reliability, performance, and scalability, focusing on distributed services and collaborating with ML researchers.

As a Staff Software Engineer, you will develop backend architecture, collaborate with stakeholders, mentor juniors, and ensure software quality while leveraging various technologies and AWS platforms.

Mudflap seeks software engineers to build and scale their payments platform using Ruby on Rails, collaborating cross-functionally and owning features end-to-end.

Lead the design and development of Pinecone's API and interfaces for AI agents, focusing on automation and observability while collaborating with cross-functional teams.

The Staff Engineer will develop an engineering cost-management platform, optimize cloud and vendor spend, and implement cost models for better financial visibility within the engineering department.

As a Staff Machine Learning Engineer, you will develop, productionize, and deploy ML models for clinical use, ensuring real-world effectiveness through hands-on coding and infrastructure building.

Develop and deploy options pricing and execution models for digital asset derivatives. Research volatility dynamics and microstructure, build backtests handling path dependency and costs, design hedging and delta management, collaborate with engineers to move strategies into live infrastructure, and monitor real-time Greeks and P&L to iterate on models.

Build, scale, and maintain cloud-native backend services and APIs using C#/.NET on Azure. Lead architecture, performance optimization, CI/CD, code reviews, mentor engineers, and collaborate with product, design, and frontend teams to deliver reliable, high-performance features.

As a Software Engineer in Reliability, you'll architect and manage multi-cloud GPU infrastructure, ensuring performance, security, and scale while debugging complex hardware/software issues.