Staff AI Platform Engineer

🕒 il y a 10 jours

🇺🇸 États-Unis – Télétravail

💵 $126 000 - $174 000 / an

⏰ Temps Plein

🔴 Expert

🏗️ Ingénieur Plateforme

👻 Score fantôme 7%

Ce que ça veut dire : la probabilité que personne ne recrute vraiment pour cette offre.Comment le lire : 60 % ou plus, on pense que c'est une offre fantôme. Un score plus bas est moins inquiétant.Pourquoi ce score :

• Ouverte depuis 10 jours.
• Les offres de cette entreprise sont généralement pourvues en 22 jours.

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Robots & Pencils

Site WebLinkedInTous les Emplois

51 - 200 employés

🤖 Intelligence artificielle

🤝 B2B

☁️ SaaS

💰 Venture Round en 2022-04

Artificial Intelligence • B2B • SaaS

Robots & Pencils est une société d'innovation numérique spécialisée dans le développement de stratégies et de produits numériques en utilisant les technologies mobiles, web et de pointe pour transformer les entreprises. Ils se concentrent sur des domaines tels que le développement mobile, la conception de produits, la recherche UX, l'intelligence artificielle, l'apprentissage automatique et la gestion du changement organisationnel. Avec un engagement à fusionner créativité et technologie, ils visent à débloquer les insights des données et à améliorer l'innovation produit, en offrant finalement d'excellentes expériences client et en aidant les marques à acquérir un avantage concurrentiel.

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

🎯 Exigences

• 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

🏖️ Avantages

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

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