Gradial-posted 6 months ago
Full-time • Mid Level
Seattle, WA
11-50 employees

Gradial is a Seattle-based startup enabling digital experiences at the speed of thought. We empower marketers and creatives to implement their ideas directly, with software that adapts over time. Our platform automates website and design system updates, large-scale migrations to new design systems, and continuous content optimization while adhering to company and product brands. Backed by world class investors and a recent Series A raise of $13 million—we’re looking to scale our platform and expand our team. At Gradial, we operate with extreme ownership, bias towards action, and critical path planning. We tackle problems from first principles, question assumptions, and find creative solutions. If you want to take risks, work on groundbreaking technology, and see the direct impact of your work, Gradial is where you belong. As a Platform Engineer at Gradial, you will architect and evolve the systems that power our AI-driven content operations platform. This role is ideal for someone who thrives in startup-to-scale up environments and brings a deep understanding of how to make infrastructure reliable, secure, and scalable. You’ll play a critical role in building on our core systems, supporting rapid product iteration and ensuring the platform is built for growth. If you’ve owned infrastructure in production, guided system evolution, and want to shape the future AI, we’d love to meet you.

  • Design and maintain scalable, secure, and resilient infrastructure to support Gradial’s AI platform.
  • Lead Kubernetes cluster management, CI/CD pipelines, observability tooling, and infrastructure-as-code efforts.
  • Anticipate scaling needs and proactively evolve infrastructure architecture to support growth and reliability.
  • Take full ownership of real-time, compute-intensive services: designing, deploying and maintaining to meet high performance standards with minimal oversight.
  • Establish and enforce best practices for system reliability, performance monitoring, and disaster recovery.
  • Evaluate and implement infrastructure automation tools to improve deployment velocity and reduce operational burden.
  • Act as a strategic voice on infrastructure investment, technical debt management, and long-term scalability planning.
  • 5+ years of experience in DevOps, SRE or platform engineering roles.
  • Proven track record designing and operating large-scale, production-grade infrastructure.
  • Deep expertise in Kubernetes, cloud-native architecture, and container orchestration.
  • Proficiency with infrastructure-as-code (e.g., Terraform, GitOps), CI/CD tooling, and monitoring stacks (e.g., Prometheus, Grafana).
  • Experience in high-growth environments, especially scaling infrastructure from early product-market fit to maturity.
  • Strong communication skills and a collaborative, ownership-driven mindset.
  • Familiarity with AI/ML infrastructure, including GPU provisioning and model deployment.
  • Prior experience supporting cloud or multi-cloud architectures.
  • Comfort with TypeScript or Python to support tooling and operational scripts.
  • Competitive salary and meaningful equity
  • Comprehensive health, dental and vision coverage
  • Fast-paced environment with flexibility and ownership
  • Real impact, zero bureaucracy
  • A front-row seat to building category-defining AI infrastructure
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