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As a Senior UI Engineer, you will contribute to the engineering team by participating in design workshops, planning deliverables in a scrum schedule, designing and coding new solutions, and resolving escalated issues, all while fostering best practices in the development process.

The Staff UI Engineer will contribute significantly to the engineering team, participating in design workshops, planning deliverables, coding, testing, and resolving application issues. The role emphasizes individual contribution while adhering to best practices and engaging in collaborative development practices.

As a Senior Backend Engineer at LogicMonitor, you will design, build, and maintain key components of platform micro-services, collaborating closely with various teams. Your role involves prioritizing deliverables, coding technical solutions, and improving application deployment processes while troubleshooting and resolving product issues.

The Junior Partner Manager at LogicMonitor will develop business plans for partners, drive marketing campaigns, present LogicMonitor to partners, and build pipelines through channels. This role focuses on enhancing partnerships and supporting the sales process to boost revenue growth in the EMEA region.

The Senior Software Engineer will design, implement, and maintain backend applications for LogicMonitor's hybrid observability platform, troubleshoot issues, and introduce new features. They will collaborate with various teams and focus on improving system functionality while mentoring others.

As a Senior Customer Technical Architect, you will act as the primary technical contact for customers, building strong relationships, understanding their needs, and translating them into technical requirements. You will collaborate with internal teams to develop technical strategies, design solutions, and ensure customer success in using LogicMonitor's platform.

The Senior Data Scientist will develop AIOPS solutions through machine learning experiments, analyze current techniques, improve customer outcomes, and collaborate with the ML Engineering team to scale prototypes to production quality. A strong understanding of AI and customer problem-solving is essential.