Top Software Engineer Jobs in San Antonio, TX

Design, build, and maintain customer-facing features across backend and frontend. Write high-quality code, use AI tools to improve workflow, scope projects, troubleshoot production, mentor peers, maintain docs, and participate in on-call rotation.

Looking for a Senior Front-End Developer with extensive Vue.js experience to enhance the Jibble 2.0 platform, collaborating closely with product teams.

Phaidra seeks candidates to join their team in building AI-powered control systems for industrial automation, with a focus on collaboration and continuous improvement.

The Lead Software Engineer will design, develop, and maintain software solutions, providing technical leadership, mentoring juniors, and ensuring system scalability and reliability.

Design, build, and optimize clean‑core SAP S/4HANA extensions and ABAP services. Implement RAP, CDS modeling, OData services, BTP integrations, event‑driven ABAP, security, performance tuning, cross‑stack collaboration, and mentor engineering teams.

Lead architecture, design, and delivery of Windows desktop simulation software. Drive modernization, own feature delivery, resolve complex bugs and performance issues, mentor engineers, collaborate on QA/CI/CD, and document/share technical designs.

Architect, build, and scale full-stack applications and high-throughput backend services. Develop React/TypeScript frontends and Ruby on Rails/Java backends, design APIs and real-time microservices (dispatch/logistics focus), introduce automated testing and CI/CD, improve scalability and observability, support AI initiatives, and mentor engineers while collaborating with product and UX teams.

Lead the engineering team, oversee project management, and ensure product development aligns with company goals and industry standards.

Lead and grow a cross-functional team of backend and native mobile engineers to build Fetch's loyalty and retention platform. Own delivery for the Loyalty roadmap, partner with Product, Design, Data, and Platform, ensure scalable and reliable systems, drive technical strategy and architecture, improve processes, and support use of AI-assisted development tools.

As an AI Applications Engineer, you will bridge AI research and implementation, driving experiments, building infrastructure, and releasing products to improve user experience and metrics.