Platform Engineer
adidas ·
- Work mode
- Hybrid
- Employment
- Contract
- Category
- Devops
- Experience
- 5+ years
- Company size
- 1000+
adidas ·
8am · Remote - Czech Republic
williamsracing · Grove, Wantage, gb
Diffractive Labs · London
melcoresorts · Macau SAR
Platform Engineer at adidas in Zaragoza, Spain (hybrid — 40% weekly remote within Spain), building and running internal developer platforms — CI/CD, Kubernetes, AWS, observability, APIs, streaming, testing and AI/MLOps — so application teams ship faster and more reliably. Requires ~5 years of IT experience and strong cloud-native engineering fundamentals; deep expertise in one platform domain is e
At adidas, every day is a chance to flip the script. An invitation to take everything we know and re-invent it. Do it better. Never settling for good enough.
Every day we get up, invent, adapt, improvise, find new ways to collaborate,
and do the unexpected. We’re creators, makers and doers. Helping athletes make
a difference, not just in their games, but in their lives and in their world.
It’s an obsession.
We’ve been doing this for more than 75 years. With an unmatched history and tradition
of creating iconic products, consumer connections and experiences, we’ve been defining
sport culture since the beginning.
And we’re never done.
Come be a part of shaping the future together with us.
IT STARTS WITH YOU
Platform Engineering designs, builds and operates the platforms our application teams rely on. Our goal is to unlock the potential of those teams so they spend more time on business value — increasing velocity and reducing time to market — while the enterprise scales on shared, secure, well-engineered platforms and services. All the adidas applications operate on top of platform engineering services, wich are completely involved within the SDLC. Continuious integration and continous deployment, testing, observability, synch and asynch communications, AI, Kubernetes & AWS are examples of platforms enabled by this team.
As a Platform Engineer, you will work on capabilities that support areas such as CI/CD, Kubernetes, cloud infrastructure, observability, testing, APIs, streaming, AI Engineering, developer productivity and automation. You DO NOT need to be an expert in all of these areas. Platform Engineering is a broad space, and we are looking for people with strong experience in one or more platform domains.
As a Platform Engineer you are a hands-on technical expert who takes end-to-end ownership of capabilities within the platform. You design, build, improve and operate solutions that help application teams move faster while improving reliability, availability, scalability and cost efficiency.
That is okay.
Platform Engineering is a broad area, and we do not expect every candidate to have experience in every platform, tool or technology listed above. If you have strong experience in one or more relevant domains and enjoy building reliable, scalable platforms that help other engineers succeed, we would like to hear from you.
At adidas, we are committed to increasing the diversity of backgrounds, perspectives and skills in our teams. We are interested not only in what you have already done, but also in the impact you can create with us.
MUST-HAVE:
Areas of Specialisation
Platform Engineering covers multiple domains. We do not expect you to have deep experience in all of them. We are especially interested in candidates who bring strong experience in one or more of the following areas:
CICD
Experience with GitHub Actions or Jenkins pipeline design, build optimisation, release strategies such as canary or blue/green deployments, artifact management and dependency management.
Kubernetes
Experience with Kubernetes operations, Helm, autoscaling such as HPA or VPA, workload isolation, resource governance, cluster security and multi-AZ resilience.
Observability
Experience with metrics, logs and traces pipelines, Prometheus, Grafana, Instana, OpenTelemetry, SLO/SLI tooling, alerting and cardinality management.
Testing / QA
Experience with test strategy and automation, contract testing, quality gates in CI/CD, performance testing and chaos testing across Go, TypeScript or Java environments.
Machine Learning
Experience with ML platform tooling, model lifecycle, feature stores, training and serving infrastructure, MLOps pipelines, agents or MCP.
APIs
Experience with API design, including REST, gRPC, GraphQL or AsyncAPI, API gateways, authentication such as OAuth, OIDC or mTLS, contracts, versioning and developer experience.
Streaming
Experience with Kafka, SQS, event-driven architecture, consumer-lag management, throughput and backpressure, and exactly-once semantics.
Cloud
Experience with AWS landing zones, networking, IAM/IRSA, cost optimisation, infrastructure-as-code with Terraform and high-availability design.
AI Engineering
Experience with agent runtimes, MCP integration, LLM tooling, AI-assisted developer tooling, evaluation and guardrails.
We hire for how you work as much as what you know. We look for:
Sound good? Apply here and be part of our tomorrow.
Not the right job for you? There are thousands of opportunities at
adidas around the world. Find the one with your name on it.
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THROUGH SPORT, WE HAVE THE POWER TO CHANGE LIVES
clera · San Francisco