Top Software Engineer Jobs

As a Pre-Sales Engineer at monday.com, you'll engage with prospects, presenting the platform and addressing technical objections. Responsibilities include understanding customer needs, customizing demos, working with partners, and maintaining deep product knowledge while achieving sales objectives.

The Software Engineering Manager at CertifID directs a team of software engineers, leading the design, development, and deployment of secure software applications. The role involves fostering a culture of innovation and psychological safety while collaborating with cross-functional teams to ensure project success and continuous improvement in software practices.

The Director of GxP Quality Assurance and Compliance is responsible for creating and managing quality assurance strategies and systems, ensuring compliance with GxP regulations, and overseeing vendor management. This role leads continuous improvement efforts and provides guidance for regulatory inspections, supervising a cross-functional team in the pharmaceutical and biotech industry.

As a Software Engineer in the Data Product & Experimentation Platform team, you will develop systems and infrastructure to democratize data access and enable analytics. This role involves working cross-functionally to support various teams, monitor production systems, and contribute to scaling Notion's data capabilities.

As a Senior Web Developer, you'll design and implement business process improvements, maintain knowledge management tools, and lead requirements gathering and user engagement to develop effective user interfaces and web resources.

The Network & Cloud Engineer is responsible for overseeing the planning, deployment, security, and monitoring of network infrastructure, troubleshooting and resolving network problems, managing network devices, and ensuring compliance with documentation and security standards. This role requires close collaboration with NOC/SOC and other IT teams to enhance network performance and security.

The engineer will work on the Risk ML Platform to develop scalable software solutions for detecting fraud and managing payment disputes. Responsibilities include collaborating with data scientists, enhancing existing products, and applying advanced ML techniques in various domains.