Top DevOps Jobs

The Sr. System Engineer will develop and implement complex solutions, lead integration teams, assess and integrate various systems, and ensure solutions meet organizational needs. The role involves security architecture engineering and managing project documentation and development plans, as well as mentoring team members and staying updated with technology trends.

The Senior Embedded Firmware Engineer will lead the technical direction of embedded firmware development, mentor engineers, and ensure high performance and reliability of products, leveraging extensive expertise in embedded systems and programming languages.

The Senior Engineer I/II in Computational Biology will design and develop databases for storing large volumes of data, develop computational biology pipelines using cloud technologies, and collaborate with various teams to integrate solutions for research in clinical investigations. The role requires strong programming skills and a solid understanding of data management in a fast-paced environment.

The Senior Cloud Engineer at Jamf is responsible for automation and development of the backend infrastructure powering Jamf Cloud for managing Apple devices in organizations. Responsibilities include deployment, maintenance, security, development, data management, and disaster recovery support.

The role involves designing, migrating, and implementing cloud infrastructure solutions on Azure, ensuring high availability and security while collaborating with technology teams to optimize CI/CD processes and manage cloud resources.

The Principal Engineer for Quality Management Systems ensures high-quality products and services by implementing integrated management strategies and ISO compliance. Responsibilities include creating and managing quality metrics, developing product information management systems, and leading continuous improvement efforts, while collaborating with global leaders and overseeing compliance with industry regulations.

As a Senior AI/ML Engineer, you will design, develop, maintain, and monitor NLP and AI models. Your role includes integrating AI/ML models into production, collaborating with various teams, and keeping up with the latest AI research.