SlipstreamJobs tracks this role from the company's public career site. Apply directly on the employer's site.
Salary: USD 150,000 - 300,000 / annual
Prime Intellect is building the open superintelligence stack—infrastructure and tools that help AI teams train, evaluate, and deploy advanced models. This is a hands-on senior platform engineering role with broad technical ownership sitting at the intersection of cloud infrastructure and distributed, GPU-intensive AI workloads.
You will own foundational systems in a small, senior team where technical decisions have visible impact. Your core mandate is to make every engineering team faster and safer by turning recurring infrastructure and security needs into paved roads, self-service capabilities, and guardrails.
Key responsibilities include:
- 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 that shorten the path from code to production
- Partner with research and product teams to remove delivery bottlenecks and turn recurring needs into reusable platform capabilities
- Define practical observability standards across metrics, logs, dashboards, and alerting using tools such as Grafana
- Define and own platform SLOs, partnering with service teams on targets, 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
You will write code, set platform standards, and partner directly with research, product engineering, and security to improve how services are built, shipped, and operated. Your impact will show up in faster delivery, safer operations, and less infrastructure work repeated across 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
NICE TO HAVE:
- 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
