Senior Infrastructure Engineer

Responsibilities

• 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
• Establish and enforce best practices for system reliability, performance monitoring, and disaster recovery
• Evaluate and implement infrastructure automation tools to improve deployment velocity
• Act as a strategic voice on infrastructure investment and technical debt management

Requirements

• 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 scaling infrastructure
• Strong communication skills and an ownership-driven mindset

Preferred Qualifications

• Familiarity with AI/ML infrastructure, including GPU provisioning and model deployment
• Prior experience supporting cloud or multi-cloud architectures
• Comfort with TypeScript or Python for tooling and operational scripts

Benefits

• Meaningful equity and competitive salary
• Comprehensive health, dental and vision coverage
• Fast-paced environment with autonomy and ownership
• Real impact and zero bureaucracy
• 401K retirement plan and paid time off

About the Company

Gradial helps marketers and creatives move from idea to execution faster by automating website updates, design system migrations, and content optimization through an AI-native platform.