Note: The job is a remote job and is open to candidates in USA. DigitalOcean is a cutting-edge technology company focused on simplifying cloud and AI for builders. They are seeking a Principal Infrastructure Architect to design and own the hardware architectures for next-generation compute environments, collaborating with teams on infrastructure and networking roadmaps.

Responsibilities

• Defining and owning DigitalOcean's hardware architectures for next-generation compute environments across our CPU, GPU, Storage, and Infrastructure Server SKU products, navigating shifts in technology, networking topologies, and AI/ML requirements
• Serving as DigitalOcean's primary technical stakeholder for infrastructure technologies partnering with SMEs in the Product and Hardware Engineering organization
• Providing leadership and guidance as a primary stakeholder in the hardware selection and qualification process
• Evangelizing emerging technical concepts to senior leadership to inform product and business strategies
• Architecting end-to-end server designs with vendors and partner teams to support a wide variety of CPU, GPU, and other emerging workloads
• Architecting end-to-end storage topologies with vendor teams to support diverse workloads across performance, capacity, and archival tiers, moving from direct-attached to disaggregated and software-defined storage
• Leading proof-of-concept (PoC) initiatives for emerging infrastructure technologies and transitioning successful pilots into global deployment standards
• Mentor engineers at all levels and contribute to a culture of technical excellence, inclusivity, and impact
• Represent DigitalOcean in the broader community attending conferences, contributing to papers and presentations

Skills

• 10+ years of experience in server architecture, storage architecture, infrastructure engineering, or a related field, with a track record of owning and deploying designs at scale
• Deep expertise in server and storage hardware platforms with strong working knowledge of compute technologies across the spectrum—from commodity CPU servers to rack scale GPU and xPU platforms
• Working experience of driving AI/ML hardware roadmaps and the ability to translate evolving silicon, accelerator, memory, and storage trends into future-proofed platform designs
• Knowledge of emerging and non-traditional hardware approaches such as CXL memory pooling, DPUs/SmartNICs, disaggregated storage, and computational storage
• Demonstrated ability to lead proof-of-concept initiatives and scale successful pilots into global deployment standards
• Strong cross-functional collaboration skills, partnering with technical and business teams along with external vendors and partners
• Excellent communication and leadership skills, including mentoring engineers and representing the company externally at conferences and through technical papers

Benefits

• Reimbursement for relevant conferences, training, and education
• All employees have access to LinkedIn Learning's 10,000+ courses to support their continued growth and development
• Employee Assistance Program
• Local Employee Meetups
• Flexible time off policy
• Bonus in addition to base salary; bonus amounts are determined based on company and individual performance
• Equity compensation to eligible employees, including equity grants upon hire and the option to participate in our Employee Stock Purchase Program

Company Overview

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