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Build and run the core network infrastructure for a cloud platform powering AI workloads, defining reliability targets and automating operations to scale safely.
Builds and maintains network automation and observability tooling for a cloud platform powering AI workloads, using Go/Python to make large-scale network operations safe and scalable.
Coordinate AI-cloud customer lifecycles across Solutions Architecture, Post-Sales, and Support, turning feedback and incidents into actionable plans and improved processes.
Write and maintain runbooks, SOPs, and troubleshooting guides for GPU server platforms, firmware, and Linux diagnostics, translating complex L3 investigations into clear procedures for L1/L2 support teams.
Build and train vision-language-action models and reinforcement-learning policies for real-world robots, using JAX and distributed training to prototype sim-to-real transfer and dexterous manipulation.
Build and evaluate AI agent systems that remain portable across models, providers, and deployment environments, focusing on routing, memory, interoperability, and evaluation.
Builds Tableau dashboards and KPI frameworks for security and leadership teams, translating data into actionable insights for a cloud AI platform company.
AI Full-Stack Developer building automation solutions using AI, LLMs, and agent-based systems to integrate with internal tools and orchestrate workflows. Core technologies include Python, TypeScript, JavaScript, React, and LLM APIs.
Build and run the Kubernetes-based infrastructure that powers Tavily’s agentic search API, including CI/CD, observability, and multi-region deployments handling billions of daily events.
Lead complex security investigations, mentor junior analysts, and improve SOC detection methods for a cloud AI platform company.
Oversee physical security projects for global data centers, coordinating teams and vendors to deliver secure, on-time infrastructure for an AI cloud platform.
Leads cross-functional AI infrastructure projects, coordinating model onboarding, region launches, and production delivery for a cloud platform powering AI/ML workflows.
Builds and maintains the backend systems that monetize Nebius Cloud, handling billing, payments, and revenue workflows across a distributed microservices architecture.
Builds the Capacity and Quota Management control plane that allocates GPU compute resources and enforces customer limits for Nebius’s AI cloud platform.
Designs and implements cloud infrastructure and MLOps solutions for AI teams, advising on GPU orchestration, Kubernetes, and IaC tools like Terraform.
Oversee physical security for colocation data centers, managing access control, surveillance, incident response, and compliance with standards like ISO 27001 and SOC 2.
Builds and deploys AI-powered systems for Tavily’s enterprise clients, bridging technical and business needs across the customer lifecycle. Core focus: RAG pipelines, agent workflows, and API integrations.
Owns all infrastructure for an AI-native API company—managing Kubernetes clusters, IaC (Terraform), CI/CD/GitOps pipelines, real-time data pipelines processing billions of events, and observability stacks in a fully in-office NYC role.
Leads physical security projects in Nebius’s global data centers, coordinating cross-functional teams to ensure on-time, on-budget delivery of security systems (e.g., access control, CCTV) from planning through commissioning. Requires 50%+ onsite presence during critical phases.
The Security Solutions Engineer will lead the evaluation, technical validation, and Proof-of-Concept testing of enterprise security tools for Nebius's AI cloud platform. This role bridges the gap between security requirements and implementation by conducting market research, vendor due diligence, and hands-on technical testing.
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