Staff AI Platform Engineer

🕒 vor 10 Tagen

🇺🇸 Vereinigte Staaten – Remote

💵 $126.000 - $174.000 / Jahr

⏰ Vollzeit

🔴 Experte

🏗️ Plattformingenieur

👻 Geisterscore 7%

Was es bedeutet: die Wahrscheinlichkeit, dass für diese Stelle niemand wirklich einstellt.So liest du es: 60 % oder höher heißt, wir halten das für einen Geisterjob. Niedrigere Werte sind weniger bedenklich.Warum dieser Wert:

• Seit 10 Tagen offen.
• Stellen bei diesem Unternehmen werden meist in 22 Tagen besetzt.

Jetzt Bewerben

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Robots & Pencils

WebsiteLinkedInAlle Stellen

51 - 200 Mitarbeiter

🤖 Künstliche Intelligenz

🤝 B2B

☁️ SaaS

💰 Venture Round im 2022-04

Artificial Intelligence • B2B • SaaS

Robots & Pencils ist ein Unternehmen für digitale Innovationen, das sich auf die Entwicklung digitaler Strategien und Produkte spezialisiert hat, die mobile, Web- und fortschrittliche Technologien nutzen, um Geschäftsprozesse zu transformieren. Sie konzentrieren sich auf Bereiche wie mobile Entwicklung, Produktdesign, UX-Forschung, künstliche Intelligenz, maschinelles Lernen und Management von organisatorischen Veränderungen. Mit dem Engagement, Kreativität mit Technologie zu verbinden, zielen sie darauf ab, Datenanalysen zu ermöglichen und Produktinnovationen zu verbessern, um letztendlich exzellente Kundenerfahrungen zu liefern und Marken zu helfen, einen Wettbewerbsvorteil zu erlangen.

Beschreibung

• 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

🎯 Anforderungen

• 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

🏖️ Vorteile

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

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