Staff AI Platform Engineer

🔥 2 minutes ago

🇺🇸 United States – Remote

💵 $126k - $174k / year

⏰ Full Time

🔴 Lead

🏗️ Platform Engineer

👻 Ghost score 6%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Robots & Pencils

WebsiteLinkedInAll Job Openings

51 - 200 employees

🤖 Artificial Intelligence

🤝 B2B

☁️ SaaS

💰 Venture Round on 2022-04

Artificial Intelligence • B2B • SaaS

Robots & Pencils is a digital innovation firm that specializes in developing digital strategies and products utilizing mobile, web, and frontier technologies to drive transformation for businesses. They focus on areas such as mobile development, product design, UX research, artificial intelligence, machine learning, and organizational change management. With a commitment to blending creativity with technology, they aim to unlock data insights and enhance product innovation, ultimately delivering excellent customer experiences and helping brands gain a competitive edge.

📋 Description

• Define DevOps strategy and lead infrastructure architecture across multi-environment, multi-region cloud systems • Architect and own scalable Kubernetes platforms and containerized infrastructure at scale • Own infrastructure-as-code strategy and standards across environments • Lead DevSecOps implementation, including secrets management, compliance, auditing, IAM, and zero-trust networking • Drive platform reliability, performance SLAs, and cost optimization across production systems • Lead complex cloud migrations and platform modernization initiatives • Own observability strategy and production reliability practices • Lead the design and operation of AI/ML platform infrastructure, including model serving and deployment, GPU workload orchestration, LLM gateway and observability, vector store infrastructure, and CI/CD for AI/ML systems • Use modern AI assistants such as Claude and Cursor to ship higher-quality work at pace • Partner with engineering, product, and leadership to align platform strategy with business and delivery goals • Communicate complex infrastructure decisions and tradeoffs to technical and non-technical stakeholders • Lead design reviews, architecture discussions, and release readiness assessments • Establish platform engineering standards and best practices • Mentor junior and mid-level engineers • Act as a technical escalation point on complex infrastructure and platform challenges • Evaluate emerging tools and technologies to improve platform reliability and developer experience

🎯 Requirements

• 7+ years of professional DevOps or platform engineering experience, with experience leading complex platform initiatives • Strong experience with AI/ML platform infrastructure, including model serving and deployment, GPU workload orchestration, LLM gateway and observability, vector store infrastructure, and CI/CD for AI/ML systems • Experience designing and provisioning HPC cluster infrastructure using CI/CD pipelines across AWS, CoreWeave, GCP, and OCI • Experience with HPC job schedulers and workload managers such as Slurm or equivalent for job submission and queue management • Expert scripting and programming skills, such as Python, Go, Java, and Bash • Deep cloud expertise across at least one major platform • Expert Kubernetes and container orchestration skills • Expert infrastructure-as-code skills across multiple tools • Strong CI/CD architecture experience at scale • Strong DevSecOps experience including secrets management, compliance, and auditing • Experience with networking, IAM, security architecture, and zero-trust principles in cloud environments • Experience with service mesh, distributed systems, and microservices architecture • Demonstrated leadership and technical mentoring experience across a team or organization • Strong stakeholder communication skills, with the ability to translate technical depth across audiences • Demonstrable, day-to-day usage and expert knowledge of AI-forward tools such as Claude and Cursor • Excellent problem-solving skills and the ability to navigate highly ambiguous technical and business challenges with sound judgment • Cloud certifications or FinOps experience is a plus

🏖️ Benefits

• Paid time off • Medical insurance • Dental insurance • Vision insurance • 401(k)

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