AI Gateway Engineer, Data Mesh and AI Platforms team
Technology, Data & Digital · IT Infrastructure & Security · DevOps · Software Engineering · Cloud Engineering
In short
Nordea's Group Technology is seeking an AI Gateway Engineer to design, build, and operate enterprise AI Gateway capabilities supporting LLM, MCP, and A2A patterns. This full-time hybrid role requires strong hands-on experience with API platforms, Terraform, CI/CD, and observability tools, with opportunities in Gdańsk, Gdynia, Copenhagen, or Helsinki.
Responsibilities
- Design, build, and operate AI Gateway capabilities based on strong API platform and gateway engineering practices.
- Implement secure and reusable gateway patterns for LLM access, MCP servers, and A2A agent-to-agent integrations.
- Develop and maintain infrastructure-as-code using Terraform and support automated provisioning of gateway components.
- Build and improve CI/CD pipelines, source control workflows, and release practices for gateway configuration and platform changes.
- Set up and automate gateway policies to expose AI capabilities in a consistent, governed, and developer-friendly way.
- Create and extend Kong plugins using languages such as Lua and Python to support custom gateway capabilities and integrations.
- Integrate the AI Gateway with enterprise identity providers and support authentication, authorization, and access control patterns.
- Set up logging, monitoring, and alerting for gateway services, including observability dashboards & operational insights using tools such as Splunk, Prometheus, and Grafana.
- Establish FinOps capabilities for AI Gateway usage, including cost visibility, consumption tracking, and support for cost control mechanisms.
- Support onboarding of new use cases onto the AI Gateway and contribute to platform documentation, reusable templates, and engineering standards.
Requirements
- A BSc or MSc in Computer Science, Engineering, Business Informatics, or a related discipline, or equivalent practical experience.
- Professional experience as a Platform Engineer, API Gateway Engineer, DevOps Engineer, Platform Architect, or similar hands-on engineering role.
- Strong hands-on experience with API platforms and gateway technologies in enterprise environments.
- Experience with gateway platforms such as Kong, IBM API Connect/DataPower, cloud-native gateways, or similar API management technologies.
- Solid knowledge of Terraform and infrastructure-as-code practices.
- Experience with Kubernetes and Helm charts for deploying and managing platform or gateway components.
- Solid knowledge of CI/CD pipelines, source control workflows, and automated release practices.
- Solid knowledge of Python and Lua for creating, extending, and maintaining Kong plugins.
- Solid knowledge of IdP integration, authentication, authorization, and access control patterns for gateways.
- Experience setting up logging, monitoring, and alerting, including work with observability tools such as Splunk, Prometheus, and Grafana.
- Understanding of FinOps practices, including cost visibility, consumption tracking, and guardrails for platform usage.
- Experience working with OpenAPI specifications, API contracts, gateway policies, and developer-facing platform documentation.
- Ability to work closely with architects, security, risk, compliance, and engineering teams in a regulated environment.
Desired Qualifications
- Experience with Kong API/AI Gateway specifically.
- Experience deploying gateways to cloud platforms such as AWS, Azure, or GCP.
- Familiarity with cloud platforms such as AWS, GCP, or Azure and cloud-native AI services such as Bedrock, AWS Agent Core, Google Gemini AI, or Azure AI Foundry.
Benefits
- Full-time permanent position
- Hybrid working arrangement (up to 40% remote work possible)
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