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Plan and optimize GPU capacity for DigitalOcean’s Serverless Instance offering. Analyze demand and utilization, allocate GPU servers across models, forecast infrastructure needs, and automate assignment decisions. Track rack and power capacity, coordinate physical deployments with data center, network, product, and delivery teams, optimize hardware placement, build dashboards, and escalate capacity risks before they affect availability or revenue.

Supports sustaining engineering for DigitalOcean’s server fleet, including hardware, firmware, cabling, and networking throughout their operational lifecycle. Responsibilities include monitoring and resolving Jira issues, providing Tier 2 escalation support, participating in 24/7 on-call rotation, developing operational standards, creating tooling and runbooks, coordinating monitoring and alerting, troubleshooting failures, and collaborating with infrastructure, firmware, qualification, and operations teams.

Leads electrical, mechanical, controls, and infrastructure engineering for AI and cloud data centers. Develops engineering standards for GPU facilities and liquid cooling, oversees new builds and retrofits, performs colocation due diligence, and supports operations, construction, deployment, and design teams. Owns infrastructure specifications, documentation, and governance while driving reliability, scalability, compliance, operational excellence, talent development, and succession planning across the engineering organization.

Deploys, maintains, and troubleshoots physical data center infrastructure, including servers, networking equipment, storage hardware, power distribution units, and Linux systems. Responsibilities include hardware installation, repairs, upgrades, inventory and asset management, RMA processing, remote work coordination, and shipping equipment. The role is onsite, supports the EAT region, requires on-call participation, and involves 10–15% domestic and international travel.

Design and maintain high-throughput backend services and concurrent asynchronous workflows for AI agent evaluation. Build control-plane integrations with secure execution environments, scalable gRPC and REST APIs, and resilient event-driven systems. Collaborate across teams, document technical designs, review code, test comprehensively, monitor performance, investigate bottlenecks, and ensure reliable distributed orchestration. Apply understanding of LLM APIs, prompt constraints, and non-deterministic AI system testing.

Own and operate the billing control plane: triage escalations, build automation and revenue-assurance tooling, support launches, collaborate with product/finance, and improve platform reliability and documentation.

The Cloud Support Engineer is responsible for providing technical support for database and cloud infrastructure, troubleshooting issues, optimizing performance, and guiding customers on best practices while collaborating with cross-functional teams.

As a Cloud Operations Administrator, ensure uptime for infrastructure, automate processes, troubleshoot issues, and coordinate operational work for improvement.

The Revenue Operations Engineer role involves analyzing GTM data, creating Looker dashboards, automating reporting workflows, and collaborating with financial teams using SQL and Salesforce data.

The Director of Strategy will lead growth initiatives and business operations at DigitalOcean, translating corporate vision into actionable plans. Responsibilities include executing strategic projects, conducting competitive intelligence, and supporting due diligence for corporate strategies. Key metrics include project execution rates and effectiveness of strategic recommendations.