Top Remote Senior Level Python Jobs in Salt Lake City, UT

As a Senior Integrations Engineer at Shift4, you will develop and implement integration strategies, oversee integration components such as APIs and web services, collaborate with cross-functional teams, analyze systems for integration opportunities, and ensure quality assurance for integration projects.

The Senior Energy Engineer will manage onboarding of new sites, develop and implement energy management programs, support performance monitoring of energy resources, identify optimization opportunities, and assist business development through proposals and presentations.

The role involves developing and implementing design automation strategies, collaborating with clients, ensuring quality assurance, and educating the firm on various design automation tools. The candidate will also drive R&D in emerging technologies and locate new process improvement opportunities while being a thought leader in the AEC industry.

As a Senior Software Engineer, you will develop and maintain software systems, lead design and coding efforts, ensure security and privacy compliance, solve complex technical issues, and engage in testing and documentation while collaborating with cross-functional teams.

The Senior Software Engineer in Reliability Engineering will design and build software solutions, perform business analysis, improve software observability, and support enterprise system initiatives. The role emphasizes collaboration, maintenance, and optimization of existing software while mentoring junior teammates. The engineer will focus on enhancing data and analytics tools for athlete experiences at DICK'S Sporting Goods.

As an Ecosystem Technical Solutions Engineer, you will engage in building the Dagger ecosystem through community engagement, partner engineering, and creating technical content. Your role includes educating users, documenting feedback, and developing strategies to enhance Dagger's capabilities while supporting integrations related to CI/CD, AI/ML, and data pipelines.

The MLOps Engineer will be responsible for training, deploying, and monitoring machine learning models using AWS technologies. They will collaborate with Data Engineers and Data Scientists to develop pipelines and build testing frameworks, leveraging tools like Apache Airflow and Docker. They should have deep knowledge of machine learning frameworks and AWS services for effective model evaluation and implementation.