Top Senior Level Python Jobs in Boise, ID

In this role, you will use your unique combination of data engineering and backend software development expertise to solve business problems. You will build data heavy applications that directly provide value to our customers, internal and external.

As a Senior Site Reliability Engineer at DataVisor, you will enhance systems reliability and security across cloud infrastructure, automate tasks, and optimize big data platforms. Responsibilities include developing automation pipelines, proactive monitoring systems, and database maintenance, all while collaborating with engineering teams to improve performance.

As a Senior Full Stack Developer, you will work on both frontend and backend technologies, develop scalable web applications, and improve user experiences. You will engage in tech discussions, assist teammates, and interact with clients to ensure project goals are met, while adhering to best practices in code quality and accessibility.

Lead a team of developers in designing and implementing large language models for Cerence's software products. Collaborate with cross-functional teams to define requirements, create algorithms for model training, and integrate LLM features into voice recognition systems, ensuring high performance and reliability in real-world automotive environments.

The Senior Network Engineer will design and deploy network infrastructure, manage lifecycle projects, automate network provisioning, train junior engineers, and work in a 24x7 team to address complex networking issues, including security initiatives and compliance tasks.

As a Senior Frontend Engineer, you will design, build, and ship user-friendly web tools that enhance the mobile subscription experience for developers. You'll work closely with your team to implement projects, participate in code reviews, and mentor new engineers, contributing to the technical direction of the company.

The AI Engineer will lead the development and deployment of an advanced AI system for data creation and verification. Responsibilities include model development, system integration, testing, documentation, and continuous improvement of AI applications alongside managing data processes.