Top Software Engineer Jobs in Austin, TX

As a Software Engineering Intern, you will engage in hands-on software development, collaborating with engineers, improving CI/CD pipelines, and exploring AI applications. You will work on projects that contribute to OpenSesame’s products and services, gaining practical experience in a remote-first B2B SaaS environment.

As a Senior Backend Engineer, you'll develop and maintain public APIs, improve internal systems, and ensure scalability while collaborating closely with product and design teams.

The Senior Software Engineer, MarTech will develop and optimize marketing technology solutions by implementing analytics and tracking tools, ensuring privacy compliance, and collaborating with cross-functional teams.

The Senior Full Stack Engineer will develop scalable dashboards and tools for risk analysis, manage projects independently, and mentor junior engineers.

The Software Engineer will develop applications using Go and Python, write design documents, and contribute to projects supporting government missions vital for health insurance and population care.

The Staff Software Engineer will architect and develop scalable backend systems, mentor engineers, and lead initiatives while improving system reliability and performance.

As a Senior Full-Stack Engineer, build and maintain web applications using Ruby on Rails and React, mentor junior developers, and improve consulting practices.

We are seeking a Senior/Staff/Principal Software Engineer with extensive experience in software development, expertise in distributed systems, and strong leadership skills. The role involves building and optimizing a large-scale AI product for financial advisors. Responsibilities include system architecture, technical documentation, and team collaboration. Candidates should be proficient in Elixir and familiar with various tech stacks, cloud services, and best coding practices.

This role involves designing AI agents, building robust infrastructure, and translating customer insights into technical requirements while working with reinforcement learning and applied data.

The role involves architecting and delivering data engineering and analytics solutions on Google Cloud Platform, leading projects, mentoring juniors, and managing SDLC cycles.