Top Software Engineer Jobs in Austin, TX

The Senior Software Engineer II at Upside is responsible for architecting and maintaining distributed systems, collaborating with cross-functional teams, and driving quality through best practices in a hybrid environment.

The Salesforce Architect will design scalable solutions, lead the Salesforce team, mentor members, ensure user-centered solutions, and improve operational excellence.

As a Senior Software Engineer, you'll build and maintain AI-powered systems, develop ML models using Go and Python, and lead software development efforts.

The Senior Software Engineer will develop features using Go, optimize game applications, mentor junior engineers, and improve team processes.

Lead and manage a team of data engineers to develop data pipelines and warehouses while collaborating with cross-functional teams to fulfill data requirements.

Senior Front-End Vue Developer focused on building and maintaining Vue.js applications, collaborating with teams, optimizing performance, and mentoring others.

The Staff Software Engineer will architect and build scalable software to prevent fraud, lead engineering teams, and simplify complex systems.

Seeking an Austin-based full-stack developer to build an MVP for a consumer platform. Role involves end-to-end development across mobile and web, requiring in-person collaboration.

Lead design and implementation of scalable, distributed full‑stack systems to drive user growth. Architect resilient infrastructure, ship high‑quality tested code, mentor engineers, define technical roadmaps, and collaborate across product, data, and ML to deliver growth features and onboarding improvements.

Senior backend engineer responsible for building and scaling resilient, low-latency cloud systems for Coinbase Growth. Launch, iterate, and run experiments across web, mobile, backend, data and ML to drive user growth; collaborate with cross-functional teams and write well-tested production code.

Zapier seeks an Applied AI Engineer to develop AI-driven automation tools. Responsibilities include working with large language models and improving AI performance, scalability, and reliability.