обновлено 1 день назад
Senior Platform Engineer (Kubernetes)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Platform Engineer (Kubernetes/AI): Building and maintaining production-ready Kubernetes infrastructure for Gravitee's API, AI Gateway, and Agent Management workloads with an accent on cloud platforms, deployment automation, and customer-facing reliability. Focus on delivering production environments, investigating complex customer issues, and integrating AI-driven automation into operations and support workflows.
Location: Poland; hybrid work with options to work from company hubs
Company
develops an API and event stream management platform and is expanding into AI Agent Management, including secure infrastructure for agent gateways, MCP, and multi-agent workloads.
What you will do
- Deliver NextGen Cloud infrastructure for API Gateway, AI Gateway, and Agent Management workloads.
- Build and maintain production-ready, Kubernetes-based customer environments.
- Develop and maintain infrastructure features with the Platform Team.
- Lead investigations of customer support issues and collaborate on technical resolutions.
- Create knowledge articles and share technical expertise through internal TechTalks.
- Improve operational processes and tools, including AI-assisted automation.
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 Argo Workflows, ArgoCD, Helm Charts, and certificate management with ZeroSSL or Let's Encrypt.
- Cloud platform experience with Azure, AWS, or GCP, plus observability experience with Grafana and Prometheus.
- Curiosity, continuous-learning mindset, resilience, patience, and strong 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 access to company hubs and a global, collaborative working environment.
- Medical coverage, pension and 401k program options, and an employee stock option plan.
- 25 vacation days 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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