Gradial
AI-native content operations
SeniorInfrastructureEngineer
“Senior Infrastructure Engineer at Gradial. Skills: Kubernetes, cloud-native architecture, container orchestration, infrastructure-as-code, CI/CD tooling, monitoring stacks. architect and evolve the systems that power our AI-driven content operations platform. building on our core systems”
What You'll Achieve.
move from idea to execution faster; turns intent into action; automating website updates, design system migrations, and ongoing content optimization while preserving brand integrity across every touchpoint; building software that adapts to the user, not the other way around; make infrastructure reliable, secure, and scalable; support rapid product iteration; ensure the platform is built for growth; improve deployment velocity; reduce operational burden
Industry & Context.
solve hard problems from first principles
What They're Looking For.
Must Have
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 ), Proficiency with CI/CD tooling, Proficiency with monitoring stacks (e. g. , Prometheus, Grafana), Experience in high-growth environments, especially scaling infrastructure from early product-market fit to maturity, communication skills
Nice to Have
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
What You'll Do.
architect and evolve the systems that power our AI-driven content operations platform
building on our core systems
supporting rapid product iteration
ensuring the platform is built for growth
Design and maintain scalable
and resilient infrastructure to support Gradial’s AI platform
Lead Kubernetes cluster management
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
How You'll Work.
Team & Collaboration
collaborative, ownership-driven mindset
Communication Scope
communication skills
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