1 день назад
Staff Platform Engineer (AI/ML)
126 000 - 174 000$
Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
Staff Platform Engineer (AI/ML): Defining and leading platform engineering strategy for complex, multi-environment cloud systems with an accent on Kubernetes, infrastructure as code, DevSecOps, and AI/ML platform infrastructure. Focus on architecting reliable and secure platforms, leading cloud migrations, orchestrating GPU workloads and model serving, and mentoring engineers through complex infrastructure challenges.
Location: Remote-based, with a preference for candidates in the Seattle metro area, United States.
Salary: $126,000–$174,000 USD per year.
Company
Robots & Pencils is an applied AI engineering firm building AI co-workers and integrating them into enterprise operations for clients across multiple industries.
What you will do
- Define DevOps strategy and infrastructure architecture for multi-environment, multi-region cloud systems.
- Architect and operate scalable Kubernetes platforms, containerized infrastructure, and infrastructure-as-code standards.
- Lead DevSecOps practices covering secrets management, compliance, auditing, IAM, and zero-trust networking.
- Own platform reliability, performance SLAs, cost optimization, observability, and production reliability practices.
- Lead cloud migrations, platform modernization, and AI/ML infrastructure initiatives including model serving, GPU orchestration, LLM gateways, vector stores, and CI/CD.
- Partner with engineering, product, and leadership; lead architecture reviews, mentor engineers, and act as a technical escalation point.
Requirements
- 7+ years of professional DevOps or platform engineering experience, including leadership of complex platform initiatives.
- Expert scripting and programming skills in languages such as Python, Go, Java, or Bash.
- Deep expertise in at least one major cloud platform, Kubernetes, container orchestration, and infrastructure as code.
- Strong experience with CI/CD, DevSecOps, networking, IAM, security architecture, zero-trust principles, service mesh, distributed systems, and microservices.
- Strong AI/ML platform infrastructure experience, including model serving, GPU workload orchestration, LLM gateways, observability, vector stores, and AI/ML CI/CD.
- Demonstrated technical leadership, mentoring, stakeholder communication, problem-solving, and day-to-day expert use of AI tools such as Claude and Cursor.
Nice to have
- Cloud certifications such as AWS DevOps Engineer Professional, CKA, or Azure DevOps Engineer.
- FinOps experience.
Culture & Benefits
- Remote-based work with collaboration across delivery centers in Canada, the United States, Eastern Europe, and Latin America.
- Paid time off and medical, dental, and vision insurance.
- 401(k) benefits for eligible employees.
- Ownership-oriented, direct, craft-focused environment with experienced engineering teams.
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