Senior Platform Engineer
- Firma
- Gravitee
- Lokacija
- Remote
- Nivo
- Senior
- Objavljeno
- 27.09.2026
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Engineering
·
Denver
·
Hybrid
Senior Platform Engineer
Build resilient Kubernetes-based cloud infrastructure for APIs, event streams, and AI workloads — solving complex customer challenges and shaping the future of secure digital platforms.
About Gravitee
Since 2015, Gravitee has grown into a global force, recognized as a 2025 Gartner Magic Quadrant Leader for API Management. What started with four developers challenging the complexities of APIs has evolved into a revolutionary platform powering API and event stream ecosystems worldwide. We drive digital transformation for top enterprises - from Michelin to Roche to Blue Yonder - offering unmatched control over APIs and event streams.
Now, we are leading the next evolution: AI Agent Management. Our platform brings security and governance to the agentic ecosystem - with our Agent Gateway for A2A protocol communications, native Model Context Protocol (MCP) support, and multi-agent, multi-LLM control. We are building the infrastructure that lets enterprises unlock the full potential of AI, securely and at scale.
Our rapid growth and leadership in API management are fueled by our team's commitment to excellence and our core values:
• Passion: We bring excitement to everything we do, constantly innovating to stay ahead of the curve.
• Hold Nothing Back: We go above and beyond to help customers and teammates succeed, holding ourselves to the highest standards.
• Professionalism: We believe in clear, respectful communication and prioritize the needs of our team and customers.
Join us on this journey. Be part of a team that is redefining what is possible in API management, and shaping the future of digital transformation. The possibilities are endless - be a part of the revolution!
The Role & Why It Exists
As a Senior Platform Engineer, you will be part of a Platform Team dedicated to making Gravitee's products best in class in terms of both product and infrastructure. You will be responsible for building and maintaining the cloud infrastructure that powers Gravitee's platform, while also supporting our customers with exceptional technical expertise.
This is a hands-on, critical role in our organization. The right candidate will enjoy problem solving in a highly specialized and technical way - from delivering production-ready Kubernetes-based environments to investigating complex customer issues.
As Gravitee expands into AI Agent Management, the Platform team plays a critical role in ensuring our infrastructure can support AI workloads, agent orchestration, and the demanding performance requirements of real-time AI gateway operations.
What You Will Be Doing
Your responsibilities will include, but are not limited to:
• Participate in delivering Gravitee NextGen Cloud infrastructure, including environments that support AI Gateway and Agent Management workloads
• Deliver production-ready, Kubernetes-based, customer-facing environments - not just POCs
• Assist the support team to help customers have the best experience possible with our products
• Work with other team members to develop and maintain new infrastructure features
• Share your knowledge (tech and non-tech) during internal Gravitee TechTalks
• Lead investigation of support tickets and work collaboratively to resolve customer issues
• Create knowledge articles to complete documentation and enable customers to better understand product use cases
• Be innovative within the team to help improve processes and tools, including exploring AI-driven automation for operations
AI & Automation Mindset
At Gravitee, we see AI as a force multiplier for engineers, not a replacement for solid engineering fundamentals. We expect you to:
• Be open and proactive in using AI-assisted tools (e.g., AI coding assistants, troubleshooting aids, automation helpers) to accelerate day-to-day work
• Use AI thoughtfully to improve existing processes, reduce manual toil, and increase reliability in operations and support workflows
• Experiment with AI-driven approaches to problem solving, documentation, and incident analysis, while maintaining a strong critical mindset
• Understand the limits of AI tools and apply engineering judgment to validate, refine, and productionize outcomes