About this role
Key Responsibilities
- Ensure alignment of technical solutions with data center space, power, and cooling capacities, incorporating sustainability and energy-efficiency goals.
Data Center Solutions Engineering
- Ensure alignment of technical solutions with data center space, power, and cooling capacities, incorporating sustainability and energy-efficiency goals.
- Collaborate with facilities and operations teams to optimize infrastructure deployments based on available rack space, power draw, thermal dynamics, and airflow efficiency.
- Contribute to the planning and provisioning of data center resources, ensuring support for both traditional workloads and AI-intensive environments.
- Evaluate emerging technologies for space, power, and cooling efficiency in next-gen data center deployments.
Compute, Storage & Networking
- Knowledge of infrastructure using hardware/software from vendors such as Dell, HPE, NVIDIA, Cisco, NetApp, and Juniper.
- Understanding of high-performance computing (HPC) and low-latency networking concepts.
Program Leadership
- Collaborate with customers, partners and Digital Realty Architects for the execution of R&D initiatives within DRIL, from concept through prototype and deployment.
- Define milestones, scope, risks, and deliverables for innovation programs involving AI and infrastructure modernization.
- Communicate progress and findings to stakeholders and cross-functional teams.
Stakeholder Engagement
- Serve as a technical consultant to internal stakeholders and enterprise clients, especially on AI workload infrastructure and resource planning.
- Create solution briefs, and presentations to showcase technology solutions hosted within DRIL.
Knowledge Sharing
- Contribute to the development and maintenance of reference architectures, design standards, and lab documentation to drive consistency and scalability.
Qualifications
Education
- Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field required.
Experience
- 3-5+ years of hands-on experience in infrastructure architecture, systems engineering, or solution architecture.
- Demonstrated understanding of data center operational constraints including power provisioning, rack planning, and cooling technologies.
- Knowledge of AI/ML infrastructure design (e.g., NVIDIA GPUs, distributed compute, high-speed storage) is desirable.
Technical Expertise
- Knowledge of enterprise networking (routing/switching, SDN) and compute systems (virtualized, bare metal, HCI).
- Knowledge with public cloud platforms (AWS, Azure, GCP) and hybrid cloud strategies.
- Familiarity with HPC architectures and containerization technologies (e.g., Kubernetes, Docker) for AI workloads.
Certifications (Desirable)
- Relevant technical certifications such as AWS Solutions Architect, Cisco CCNP/CCIE, NVIDIA Certified, VMware VCP, or PMP.
Soft Skills
- Strong communication and presentation skills across diverse audiences.
- Excellent organizational and time-management abilities.
- Strategic thinker with a hands-on approach to technical problem-solving.
About DRIL
The Digital Realty Innovation Lab (DRIL) is the center of innovation and experimentation within Digital Realty. DRIL brings together infrastructure architects, engineers, and technologists to prototype and implement next-generation solutions across AI, cloud, edge, and hybrid environments. Our team shapes the future of connected infrastructure with a focus on sustainability, performance, and scale.