Provides subject matter expertise and consulting services on a range of technologies and assists Technical Analysts and Infrastructure Engineers to ensure that technology solutions comply with enterprise system design and engineering standards
Assists with translating business requirements into technical definitions, reference models, blueprints, and playbooks for deployment in compliance with architecture standards and policies
Assists in the evaluation of reference models, blueprints and playbooks to ensure they are fit for purpose
Develop software solutions to address manual and repeatable work or inefficient processes
Conducts on-site evaluations of third-party products being considered for firm adoption
Requirements
Bachelor's degree
Nice to have: Kubernetes certifications such as CKA or CKAD
Nice to have: Vulnerability Management
Nice to have: Non-Permitted Technology Remediations
Supporting one of the world's largest AI compute environments, operating and scaling multi-cloud infrastructure for GPU-intensive model training and deep learning research.
Compensation
The pay range for this position is $100.00 - $100.00/hr.
Responsibilities
Provision and operate large-scale compute environments
Manage Kubernetes-based infrastructure
Optimize GPU resource allocation
Support Slurm scheduling systems
Build automation that enables rapid AI platform growth
Support and scale multi-cloud HPC AI/ML platform infrastructure, manage Kubernetes and Slurm environments, automate provisioning, and optimize GPU resource utilization.
Compensation
The pay range for this position is $100.00 - $100.00/hr.
Responsibilities
Provision and operate large-scale compute environments
The role involves supporting and scaling high-performance computing (HPC) environments, deep learning platforms, and large-scale GPU environments across multi-cloud Infrastructures.
Locations (2)
Seattle, Washington, United States
United States
Compensation
The pay range for this position is $100.00 - $100.00/hr.
Responsibilities
Provision and operate large-scale compute environments
Lead technical engagement with Nebius' most strategic customers across the Gulf region, shaping solution strategy, driving complex PoCs, and ensuring successful adoption of Nebius AI Cloud for mission‑critical AI/ML workloads.
Responsibilities
Own end‑to‑end technical presales and solution delivery for strategic and enterprise customers across the Middle East
Serve as a trusted technical advisor to senior customer stakeholders
Lead complex ML/AI infrastructure and MLOps architectures
Design, validate, and document reference architectures, Infrastructure‑as‑Code solutions, and best‑practice deployment patterns
Drive and execute advanced PoCs, workshops, architecture reviews, and executive‑level presentations
Lead the team in technical strategy, design, build, and operation of infrastructure services including provisioning and availability of AWS Trainium-based AI servers.
Compensation
USA, WA, Seattle - 168,100.00 - 227,400.00 USD annually
Responsibilities
Design and develop innovative technologies that power the infrastructure supporting AI workloads on Ultraservers
Lead technical projects establishing EC2 as the pioneer in cloud computing for AI workloads across diverse applications including LLMs, multimodal systems, and emerging model architectures
Collaborate with various teams to influence architecture of provisioning systems and improve to operate at scale and efficiently
Build customer relationships by investigating complex performance challenges, developing solutions, and publishing actionable best practices through multiple channels
Requirements
Bachelor's degree in computer science or equivalent
Nice to have: full software development life cycle
Architect, build, and productize AI/ML infrastructure, driving AI adoption from strategy through production at scale in a healthcare workflow environment.
Compensation
We provide competitive base compensation along with stock options. Compensation for this role depends on experience and interview performance.
Responsibilities
Design and evolve a modular, service-oriented architecture to power configurable healthcare workflows at scale.
Build a workflow orchestration engine capable of handling thousands of concurrent stateful tasks (credentialing, verification, enrollment).
Define and optimize integration frameworks to connect with thousands of external systems — web portals, APIs, PDFs, spreadsheets.
Drive reliability, auditability, and performance through observability, self-healing, and clear fault-domain boundaries.
Lead the design and deployment of AI-powered digital workers — LLM- and rules-driven agents that perform operational workflows end-to-end.
health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
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