2 дня назад
Platform Engineer (AI)
160 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Platform Engineer (AI) (Kubernetes/Cloud Infrastructure): Building and maintaining production-ready Kubernetes-based cloud environments for API Gateway, Agent Management, and AI workloads with an accent on infrastructure automation, observability, and customer-facing reliability. Focus on deploying scalable AI gateway infrastructure, orchestrating complex support investigations, and improving operations through AI-driven automation.
Location: Denver, United States; hybrid work with options to work from a company hub
Salary: Up to $160,000 per year, depending on experience
Company
develops API management, event stream, and AI Agent Management infrastructure for enterprise customers.
What you will do
- Deliver production-ready Kubernetes-based cloud environments for API Gateway and Agent Management workloads.
- Build and maintain infrastructure features, deployment automation, and customer-facing platform environments.
- Investigate support tickets and collaborate with support teams to resolve complex customer issues.
- 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.
- Strong experience creating and managing Kubernetes clusters and Helm-based deployments.
- Experience with Terraform, Docker, certificate management, and continuous delivery tools such as Argo Workflows and ArgoCD.
- Cloud platform experience with Azure, AWS, or GCP.
- Experience with observability tools including Grafana and Prometheus.
- Strong problem-solving skills, attention to detail, resilience, and commitment to continuous learning.
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 company hubs and global collaboration.
- Medical coverage, pension and 401k program options, and a stock option plan.
- 25 days of vacation plus in-country national holidays, three mental health days, and a birthday day off.
- Professional development allowance and access to AI development tools.
- Quarterly outings and annual offsites.
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