At adidas, every day is a chance to flip the script. Helping athletes make a difference, not just in their games, but in their lives and in their world. With an unmatched history and tradition of creating iconic products, consumer connections and experiences, we’ve been defining sport culture since the beginning.

IT STARTS WITH YOU INTEGRATION PLATFORM ENGINEER - API & EVENT STREAMING (Kafka, Kong, AWS)PLATFORM ENGINEERING / CLOUD NATIVE INTEGRATION PLATFORM PURPOSE: Platform Engineering is the practice of designing, building and operating platforms for application engineering teams to leverage. The main goal of the central platform engineering team is to unlock the potential of the application teams, so they spend more time focusing on business functionality, increasing velocity, and reducing time to market. We are looking for a Integration Platform Engineer to join the team that builds and operates our enterprise connectivity platform: the API Management and Event Streaming foundations on which our product teams expose, secure and consume APIs and events.

You will help run a self-service platform built around an API Gateway (Kong) and a distributed event streaming platform (Apache Kafka), delivered cloud-natively on AWS with GitOps and Infrastructure-as-Code. You don't need to arrive as a Kafka or Kong expert. We value solid engineering fundamentals, systems thinking and the curiosity to grow into the stack.

What is essential is a collaborative, team-first mindset, a genuine eagerness to learn, and the habit of staying up to date with technology, including modern AI-assisted engineering practices. API gateway configuration (routes, services, plugins, consumers), API lifecycle and versioning, traffic policies (rate limiting, throttling, quotas), API security (authentication/authorization, OAuth2/OIDC, API keys, mTLS),



and developer onboarding through a developer portal / self-service catalog. Operate and evolve our event streaming platform on Apache Kafka: topics, partitions, consumer groups, offset and consumer-lag management, schema management (Schema Registry), dead-letter queues, retries, idempotency and delivery guarantees.

Design and maintain Infrastructure-as-Code (Terraform, Helm) and GitOps workflows: Build and improve CI/CD pipelines that make building, testing and deploying platform changes automated and reproducible, minimizing manual toil.

Apply networking and security fundamentals daily: Work closely with product teams, SRE, security and network engineers across the organization. Use AI as a first-class engineering tool: AI coding assistants and AI agents in daily development, and contributing to our agentic AIOps initiatives (e.g., diagnostic agents integrating via MCP servers with observability and ITSM tooling). Lead specific cloud-native integration initiatives end to end with full autonomy: plan and estimate the work, coordinate available resources, track logged work, foresee and unblock blockers, and drive delivery.

Proficient

English skills (verbal and written).

Solid software engineering fundamentals: clean, readable, testable code; unit/integration testing mindset; Cloud experience, specifically AWS: core services, IAM, networking (VPC, subnets, security groups), and operating workloads in the cloud. Hands-on containers and Kubernetes (pods, deployments, services) and the cloud-native toolchain. Terraform and/or Helm, Git-based workflows,



CI/CD pipelines.

Networking fundamentals: Observability basics: logs, metrics, traces, monitoring and actionable alerts. Practical experience with AI-assisted development: daily use of AI coding tools (e.g., GitHub Copilot or similar), working familiarity with AI agents, and awareness of MCP (Model Context Protocol) servers and how agents connect to tools and data sources. Full autonomy leading specific initiatives in the cloud-native integration scope: able to manage available resources, provide planning and estimations, manage logged work, and foresee and address blockers before they impact delivery.

Familiarity with Apache Kafka concepts: events/messages, producers, consumers, consumer groups, lag, dead-letter topics (no deep production experience required. API gateways, APIs as contracts, versioning, rate limiting, developer portals. LLM-based agents, tool calling, MCP server development, AIOps use cases).

Experience with observability stacks (Prometheus/VictoriaMetrics, Grafana, Loki, Instana or similar) and ITSM tooling (ServiceNow).

Eagerness to learn: demonstrable evidence of picking up new technologies quickly;

WHAT WE OFFER: You will be part of a company where digital transformation, innovation and continuous improvement are core principles of our culture. You will join a team of talented and passionate quality engineers, with a lot of opportunities to grow and reach your expectations. Individual development, training and a tech community.

Hybrid Work Setup: enjoy the advantages of a adaptable remote work environment (up to 40% Weekly) combined with the amazing onsite facilities and culture. There are thousands of opportunities at adidas around the world. adidas CareersCheck out these videos to see what it’s like to work in our offices around the world!

📌 Integration Platform Engineer - API & Event Streaming (Kafka, Kong, AWS) (Zaragoza)
🏢 Adidas Group
📍 Zaragoza