4 дня назад
Senior Platform Engineer (AI)
160 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Platform Engineer (AI/Kubernetes): Building and maintaining production-ready Kubernetes infrastructure for API Gateway, Agent Management, and real-time AI workloads with an accent on cloud automation, deployment reliability, and customer-facing environments. Focus on orchestrating AI infrastructure, investigating complex support issues, improving observability and operations, and applying AI-assisted automation responsibly.
Location: Denver, United States; hybrid work with options to work from company hubs
Salary: up to $160,000 per year, depending on experience
Company
develops API management and event stream infrastructure, including AI Agent Management, Agent Gateway, Model Context Protocol support, and multi-agent, multi-LLM controls for enterprise customers.
What you will do
- Deliver NextGen Cloud infrastructure supporting AI Gateway and Agent Management workloads.
- Build and maintain production-ready, Kubernetes-based customer environments and Helm deployments.
- Develop and maintain infrastructure features with the Platform Team.
- Investigate support tickets and resolve complex customer issues with the support team.
- Create knowledge articles and share technical expertise through internal TechTalks.
- Improve operational processes and tools, including AI-driven automation for infrastructure and support workflows.
Requirements
- 5+ years of professional experience in infrastructure management.
- Experience creating and managing Kubernetes clusters and Helm-based deployments.
- Strong understanding of infrastructure and deployment automation, with experience using Terraform and Docker.
- Experience with certificate management, continuous delivery tools such as Argo Workflows and ArgoCD, and Helm Charts.
- Experience with at least one major cloud platform: Azure, AWS, or GCP.
- Experience with observability tools such as Grafana and Prometheus, plus strong problem-solving and attention to detail.
Nice to have
- Experience with API Management or Identity and Access Management platforms.
- Familiarity with AI/ML infrastructure, GPU workload orchestration, AI Gateway, or LLM-serving infrastructure.
- Knowledge of networking, service mesh, and traffic management patterns.
Culture & Benefits
- Hybrid culture with options to work from company hubs.
- Medical coverage, pension and 401k program options, and a stock option plan.
- 25 days of vacation in addition to in-country national holidays, plus mental health days and a birthday day off.
- Professional development allowance and access to AI development tools.
- Quarterly outings and annual offsites.
- Culture centered on passion, high standards, continuous innovation, and professional communication.
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