Staff AI Platform Engineer

Robots & Pencils

. Define DevOps strategy and lead infrastructure architecture across multi-environment, multi-region cloud systems .

Posted 10/31/2026full-timeRemote • United StatesLead💰 $126,000 - $174,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in defining and leading DevOps strategies, architecting scalable Kubernetes platforms, and implementing AI/ML infrastructure solutions. Proven ability to mentor teams, communicate complex technical concepts, and drive platform reliability and performance across multi-cloud environments.

Highest-signal resume keywords

DevOps Strategy LeadershipAI/ML Platform InfrastructureKubernetes and Container OrchestrationInfrastructure-as-Code ExpertiseDevSecOps Implementation

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonGoJavaBashKubernetesCI/CD ArchitectureHPC Cluster InfrastructureAI/ML Model ServingInfrastructure-as-CodeCloud Expertise

Soft Skills

Stakeholder CommunicationTechnical MentoringProblem-Solving

Tools & Technologies

ClaudeCursorSlurmAWSGCPCoreWeaveOCI

Certifications & Qualifications

Cloud CertificationsFinOps Experience

Industry Keywords

DevSecOpsZero-Trust NetworkingObservabilityMicroservices ArchitectureDistributed Systems

Tech Stack

Tools & technologies

AWSCloudDistributed SystemsGoogle Cloud PlatformJavaKubernetesMicroservicesPythonGo

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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