AI Gateway Engineer – Data Mesh and AI Platforms Team

NordHR; Województwo pomorskie; Hybrid; PLN 200,000 - 320,000; Full time

Benefits offered by this job

Hybrid work (up to 40% remote)

Private healthcare

Life insurance

Multisport card

Training and certifications

Modern office in Gdańsk

Job summary

NordHR is seeking an AI Gateway Engineer in Gdańsk (hybrid) to design, build and operate scalable AI gateway capabilities within an enterprise API platform. You will implement secure patterns for LLM access and A2A integrations, and automate infrastructure with Terraform while enhancing CI/CD pipelines.

You’ll work with Kong plugins (Lua/Python) and integrate with IdP and observability stacks. The role requires hands-on experience with API platforms in enterprise settings, Kubernetes, and

Qualifications

• Hands-on experience designing, configuring, and operating API platforms and gateways in enterprise environments.
• Experience with gateway platforms like Kong, IBM API Connect/DataPower, or cloud-native gateways.
• Solid knowledge of Terraform and IaC practices.
• Experience with Kubernetes and Helm for deploying gateway components.
• Solid knowledge of CI/CD pipelines, source control, and automated releases.
• Proficiency in Python and Lua for Kong plugins.
• Experience with IdP integration, authentication and access control patterns.
• Experience setting up logging, monitoring, and alerting with observability tools.

Responsibilities

• Design, build and operate AI Gateway capabilities based on API platform practices.
• Implement secure gateway patterns for LLM access, MCP servers, and A2A integrations.
• Develop infrastructure-as-code with Terraform and automate gateway provisioning.
• Build and improve CI/CD pipelines and release practices for gateway configurations.
• Set up and automate gateway policies for consistent, governed access.
• Create Kong plugins using Lua and Python for custom capabilities.
• Integrate AI Gateway with enterprise identity providers and auth controls.
• Set up logging, monitoring and alerting including Splunk, Prometheus, Grafana.
• Establish FinOps for gateway usage with cost visibility and guardrails.
• Assist onboarding of new use cases and contribute to platform docs and templates.

Skills

API Gateway

Terraform

Kubernetes

CI/CD

Python

Lua

IdP integration

Observability

FinOps

OpenAPI

Education

BSc or MSc in Computer Science/Engineering or related

Tools

Kong

IBM API Connect/DataPower

Helm

Prometheus

Grafana

Splunk

Terraform

Kubernetes

Job description

AI Gateway Engineer - Data Mesh and AI Platforms Team - Gdańsk (hybrid)

Job Offers

AI Gateway Engineer - Data Mesh and AI Platforms Team - Gdańsk (hybrid)

We are looking for an AI Gateway Engineer for our client - an international financial organization developing modern cloud, data and AI platforms.

You’ll help design, build and operate an enterprise AI Gateway, extending API platforms to support LLM, MCP and A2A patterns. This is a hands-on engineering role focused on secure, reusable and production-ready AI capabilities.

The Data Mesh and AI Platforms team is part of the Integration and AI unit. The team develops integration and AI platforms, including Kong and Kafka, and is now extending this platform approach to an enterprise AI Gateway.

You’ll work closely with architects, cybersecurity, data governance, risk, compliance, cloud platform and engineering teams in a regulated banking environment.

Main 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

This is the right role for you if you:

• Are a strong platform engineer: You have hands-on experience designing, configuring, and operating API platforms and gateways in enterprise environments.
• Are comfortable with modern engineering and operational practices: You have solid knowledge of Terraform, CI/CD, source control, IdP integration, monitoring, alerting, and automated deployment patterns.
• Understand AI integration patterns: You have, or are motivated to build, knowledge of LLM access patterns, MCP, A2A, and how these can be secured and governed through gateway capabilities across cloud-native AI stacks.

Education/experience:

• 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.

Required qualifications

• 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.

Preferred 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.

The offer:

• Hybrid working model with up to 40% remote work.
• Attractive benefits package.
• Private healthcare and life insurance.
• Multisport / sports benefits.
• Training and professional certification opportunities.
• Work with modern AI, API, cloud and platform technologies.
• International environment and collaboration with experienced specialists.
• Modern office and flexible working environment.
• Strong opportunities for career development and continuous learning.
• Inclusive workplace with a strong focus on work-life balance.