Top Hybrid Python Jobs in Austin, TX

As a Java Backend Developer at Sonar, you will be instrumental in developing features for SonarCloud, focusing on code quality and security. You will work with product managers to specify and develop new features, write tests, monitor production, interact with the community, and contribute to team goals. Required technical skills include 5+ years of Java backend development experience, clean code practices, RDBMS knowledge, code quality practices, tooling expertise, and AWS experience. Nice to have skills include Python, Bash scripting, NoSQL databases, and API design. Strong soft skills such as initiative, positive attitude, adaptability, and confidence are also required.

Join as a Principal Software Engineer at Iodine, responsible for technical leadership, design and implementation of solutions for healthcare problems, mentoring engineers, and driving technology initiatives. Required experience includes 10+ years in software development with 3+ years as a technical lead.

Data Governance Engineer Technical Product Owner responsible for implementing and configuring Data Governance platforms in Azure cloud. Collaborate with teams to ensure data security and compliance, define data quality standards, and provide training on data governance principles.

Join NinjaOne's AI R&D team as a Senior Software Engineer to work on integrating AI and ML into products. Requires expertise in C++, Python, and a minimum of 8 years of SAAS software development experience.

Join a team of engineers working on groundbreaking technologies in the Microsoft .Net and Azure space, supporting software delivery, cloud infrastructure, monitoring security, and automation. Responsibilities include designing and implementing pipelines, supporting existing infrastructure, and integrating 3rd party systems.

Manage a team of engineers building applications, services, and cloud infrastructure for a product portfolio across multiple platforms. Responsible for instilling a culture of quality and iterative development. Collaborate with engineering and product leadership to increase the quality and reliability of products.

The Senior Data Engineer will work on building next-generation Analytics infrastructures and products, contribute to building an enterprise-wide ML and AI data platform, design and implement stable and scalable data solutions, and operate large-scale big data technologies.