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Seeking a proactive Workday HRIS Analyst to provide production support, configure Workday modules, manage upgrades and releases, gather requirements, implement process improvements, offer training, and streamline HR processes for DigitalOcean.
The Head of Total Rewards at DigitalOcean is responsible for shaping and leading the company's global compensation and benefits programs to attract, motivate, engage, and retain top talent. This role involves implementing a total rewards strategy, analyzing market data, overseeing global benefits, leading a team, ensuring compliance, managing vendor relationships, and staying current with industry trends.
Principal Product Manager role at DigitalOcean leading a Growth team to drive impact through growth A/B tests and customer-centric solutions. Self-starters with a growth mindset and excellent communication skills are encouraged to apply.
Design, develop, and optimize virtualized GPU infrastructure for AI/ML workloads. Collaborate with technical leaders to define infrastructure requirements, guide performance teams, drive security improvements, and influence engineering excellence. Contribute to open source communities related to the tech stack.
Looking for a Senior Engineer II specializing in Virtualization to identify and implement improvements in DO's hypervisor fleet. Responsibilities include resolving VM downtime, collaborating with open source communities, and enhancing performance and security within the virtualization stack.
Join DigitalOcean as a Senior SOC Engineer specializing in DFIR & Hunt. Responsibilities include handling live intrusions, digital forensics analysis, network traffic analysis, building tools for automation, and establishing strong relationships with technical teams. Experience in incident response, digital forensics, and data analysis is required.
As an Engineering Manager on the GenAI Platform team at DigitalOcean, you will be responsible for managing engineering projects, promoting career development for team members, and collaborating across teams to ensure successful delivery of AI/ML applications. You'll focus on system design, managing project timelines, and improving team performance while fostering a positive engineering culture.
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