Top DevOps Jobs

The Senior SharePoint Developer will develop and modify software solutions using Agile methodologies, conduct software maintenance for DMACS databases, support application updates, resolve Tier III trouble tickets, and provide SME support for equitable system configuration and compliance.

The Senior Systems Application Engineer will bridge engineering, project development, and product integration, focusing on packaged pump systems for commercial HVAC and industrial businesses. Responsibilities include advanced engineering support, project design, controls automation, and utilizing engineering tools to deliver optimal solutions and drive business growth.

As a Forward Deployed AI Engineer at Skypoint, you will design scalable solutions using the Skypoint AI platform and implement data integrations. Key responsibilities include managing AI applications, ensuring alignment with business objectives, and utilizing advanced data modeling techniques. Strong project management and communication skills are essential for success in this role.

As a Senior Solutions Engineer, you'll support enterprise customers by partnering with account executives to change their approach to cloud security. Responsibilities include delivering demonstrations, planning proof of value tests, and representing the company at industry events. You'll gain technical knowledge in cloud security and be a trusted advisor.

Lead the development of the Mojo compiler, drive design and implementation of new features, provide technical leadership to the team, and collaborate with internal and external stakeholders.

The Senior IT Field Engineer will provide on-site and remote support to clients, addressing issues from desktop configurations to network security. Responsibilities include troubleshooting, collaborating on IT support processes, and maintaining strong client relationships while managing server projects and IT security practices.

The AI Engineer will develop and deploy AI models for smart building applications, perform data analysis, implement machine learning algorithms, conduct performance testing, and collaborate with engineering teams to integrate AI into building management systems. Responsibilities also include staying updated with AI advancements and documenting performance reports.