Technical Staff Member – Production Engineering

🔥 18 minutes ago

🏄 California – Remote

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💵 $150k - $300k / year

⏰ Full Time

🔴 Lead

🏭 Production Engineer

👻 Ghost score 0%

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Logo of Prime Intellect

Prime Intellect

1 - 10 employees

🤖 Artificial Intelligence

☁️ SaaS

Artificial Intelligence • SaaS • Cloud Computing

Prime Intellect is a company focused on democratizing AI development by providing scalable and decentralized computing resources for training models. Their platform allows users to find and share global compute resources, enabling the training of state-of-the-art models through distributed clusters. They promote the collective ownership of AI innovations, including language and scientific models. Prime Intellect also offers a range of GPU options to facilitate affordable and efficient model training. They aim to advance decentralized training research and open-source AI development on a global scale.

📋 Description

• Build reusable infrastructure-as-code and reliable CI/CD workflows for platform services • Design cloud foundations spanning compute, networking, identity, secrets, and service delivery • Develop progressive rollout, health-check, and rollback patterns for critical infrastructure • Build self-service platform capabilities, templates, and guardrails • Partner with research and product teams to remove delivery bottlenecks and create reusable platform capabilities • Define observability standards across metrics, logs, dashboards, and alerting using tools such as Grafana • Define and own platform SLOs, error budgets, and reliability priorities • Turn security and compliance requirements into reusable platform controls • Lead complex platform projects from technical design through adoption and steady-state operation • Write code, set platform standards, and partner with research, product engineering, and security teams

🎯 Requirements

• 5+ years in infrastructure, platform, or security-focused engineering • Deep hands-on experience with Terraform or similar infrastructure-as-code tooling • Strong knowledge of cloud networking, IAM, secrets management, and CI/CD • Experience designing secure software delivery lifecycle environments from development through production • Production experience with Kubernetes or similar container orchestration platforms • Ability to debug across infrastructure layers and make sound trade-offs under ambiguity • Clear technical communication and a track record of leading cross-functional projects • Experience operating ML/LLM training or inference infrastructure • Exposure to GPU infrastructure and distributed systems • Experience with zero-trust access patterns • Experience supporting compliance or audit-readiness programs

🏖️ Benefits

• Significant equity • Full visa sponsorship and relocation support • Professional development budget for courses and conferences • Regular team off-sites and conference attendance • Remote work option from EMEA • Work from the San Francisco office

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