Top Software Engineer Jobs in Austin, TX

Design, develop, and maintain software while collaborating with teams to resolve issues, mentor others, and implement best practices.

As an Engineering Manager, you will lead a team, drive engineering initiatives, manage complex projects, and foster a culture of continuous learning.

Looking for a Senior Frontend Engineer to build technology products, develop consumer-facing web apps, and collaborate with product teams.

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

The Full-Stack Engineer will design, build, and scale features across a land intelligence platform, focusing on both backend APIs and user interfaces. Responsibilities include leveraging AI for development, optimizing databases, owning architecture decisions, and collaborating with product leadership.

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.

Design, build, and own scalable microservices and secure APIs that transfer value across blockchain and banking protocols. Extend in-house blockchain infrastructure, integrate with banks and cloud services, troubleshoot production issues, document system and testing procedures, and collaborate with product and engineering teams to deliver reliable payment experiences.

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.

As a Software Engineer II in the Credit Decisioning team, you will design and develop backend systems, collaborate with cross-functional teams, and support project delivery and operations.

As a Software Engineering Apprentice, you will collaborate with engineers to build infrastructure, ship code, and gain mentorship while contributing to critical projects over a 6-month apprenticeship.

Lead the development and evolution of a modern data lakehouse, manage project life cycles, mentor team members, and ensure data quality and operational standards.