Top Software Engineer Jobs in Austin, TX

The Engineering Lead will guide the technical direction of the V2 Platform, leading a team to design and build scalable products, and collaborating cross-functionally to drive execution and development growth.

As a Mojo Libraries Engineer, you'll design and implement libraries for Mojo, focusing on performance and integration with AI systems, collaborating with multiple teams to optimize algorithms and deliver high business impact.

The Senior Staff Software Engineer at Fabric Health will architect and develop core systems, guide technical decisions, and collaborate cross-functionally to improve healthcare access through technology.

The Full Stack Software Engineer will develop frontend and backend features, collaborating with engineers and product managers to meet project requirements while ensuring high-quality code.

As a Software Engineer, you will design and maintain software solutions, mentor junior engineers, optimize system performance, and ensure coding standards. You will engage in the entire product lifecycle and keep up with industry best practices.

The Founding GTM Engineer will design and scale an AI-enabled revenue engine, build intelligent workflows, and optimize account targeting and campaign automation. The role requires strong GTM expertise, data fluency, and the ability to build systems with automation.

The Forward Deployed Engineer role focuses on understanding and improving customer IT processes by extracting knowledge and structuring it for automation, while working directly with customers and internal teams.

The Application Support Engineer will support, migrate, and test applications in Oracle Cloud Infrastructure, focusing on backend admin for Oracle EBS and user support, while managing project tasks and collaboration with teams.

The Decentralized Software Engineer will build full-stack systems, work with decentralized technologies, collaborate with the team, and continuously learn new tools and paradigms.

Design, implement, and maintain Python backend services and scalable data pipelines using dataframes, Parquet, and Databricks. Optimize distributed processing, build APIs, ensure data quality and observability, and mentor engineers.