An AI company is looking for a Platform Engineer. This is a remote and/or hybrid position.

Responsibilities:

• Cloud Infrastructure & Architecture
• Design and manage infrastructure across AWS, GCP, or Azure
• Build scalable systems for product services, AI workloads, and tooling
• Manage Kubernetes clusters, autoscaling, networking, and workloads
• Implement Infrastructure as Code using Terraform, Pulumi, or similar tools
• CI/CD & Developer Experience
• Build fast, secure deployment pipelines using GitHub Actions, GitLab CI, Jenkins, or ArgoCD
• Implement canary, blue-green, and rollback deployment strategiesCreate internal tools that improve engineering productivity
• Evaluate new technologies that improve platform speed and usability
• Observability & Reliability
• Build monitoring systems using Prometheus, Grafana, Datadog, or ELK
• Implement alerting, tracing, and centralized loggingTrack uptime, deployment frequency, latency, and platform health
• Improve debugging workflows across services and AI pipelines
• Performance & Scalability
• Design self-healing, fault-tolerant systems
• Optimize cost, throughput, and resource utilization
• Build autoscaling systems for changing AI and user demand
• Continuously remove bottlenecks across infrastructure layers
• Security & Compliance
• Enforce IAM, encryption, secrets management, and network security
• Manage patching, scanning, and hardening processes
• Support privacy-first infrastructure standards
• Collaborate with security teams to embed secure defaults

Requirements:

Experience:

• 3+ years in Platform Engineering, DevOps, or Site Reliability Engineering
• Experience operating production cloud-native systems at scale
• Strong Kubernetes and CI/CD experience
• Comfortable working cross-functionally in fast-moving teams
• Startup or growth-stage experience preferred

Technical Skills:

• Strong programming skills in Python, Go, TypeScript, or similar
• Deep knowledge of AWS, GCP, or Azure
• Hands-on Docker and Kubernetes expertise
• Infrastructure as Code experience (Terraform, Pulumi, CloudFormation)
• Monitoring and observability tooling experience

Soft Skills:

• Strong ownership mentality
• Excellent communication and documentation skills
• Systems thinking and architecture mindset
• Focus on developer experience and usability

Preferred Qualifications:

• AI / ML platform experience (GPU workloads, model serving, MLOps)
• Real-time systems or WebSocket infrastructure experience
• Developer portals such as Backstage or Port
• Chaos engineering and resilience testing knowledge
• Multi-cloud or hybrid-cloud experience
• SaaS, EdTech, or Career Tech background

Salary: $140,000 – $195,000

Hours: Full-Time – 40+

Zip Code: 10003

Job ID: #69736PE