Platform Engineer

Platform Engineering designs, builds and operates the platforms that application teams rely on, with the goal of unlocking those teams' potential so they can spend more time on business value while the enterprise scales on shared, secure, well-engineered platforms and services. The team works across the full software development lifecycle, enabling capabilities such as continuous integration and continuous deployment, testing, observability, synchronous and asynchronous communication, AI, Kubernetes and AWS. The Platform Engineer is a hands-on technical expert who takes end-to-end ownership of capabilities within the platform, designing, building, improving and operating solutions that help application teams move faster while improving reliability, availability, scalability and cost efficiency.

• Take end-to-end ownership of epics and initiatives within the platform, from understanding requirements through solution design, implementation and operation.
• Design, code, test, document and refactor complex software, choosing the right approach and applying engineering standards and tools.
• Propose, own and implement technical improvements such as monitoring, system stability, reliability and operability, balancing impact and cost.
• Build and operate the platform reliably by defining and tracking SLAs/SLOs, reducing incidents and toil, and automating operational work.
• Lead code reviews for peers and contribute to the platform's technical roadmap, aligned with the domain strategy and in close collaboration with the platform owner.
• Coordinate the day-to-day delivery of complex, multi-faceted work with relevant stakeholders across teams.
• Act as an active mentor for equal- or lower-grade colleagues, onboard new team members and contribute to communities of practice.
• Work on capabilities that support areas such as CI/CD, Kubernetes, cloud infrastructure, observability, testing, APIs, streaming, AI engineering, developer productivity and automation.

• College/university degree in IT, or an equivalent combination of education and experience.
• Approximately 5 years of IT experience across the full product development lifecycle, including building and operating services in production.
• Strong software engineering fundamentals, including clean code, testing, code review and maintainability.
• Hands-on experience with at least one modern programming language such as Go, TypeScript/Node.js or Java/Spring Boot.
• Cloud-native foundations: containers and Kubernetes, CI/CD, and a major cloud provider (AWS preferred).
• Experience with infrastructure-as-code and automation tools such as Terraform, GitHub Actions, Helm or similar.
• Observability and operability mindset: metrics, logs, traces, alerting and incident response.
• DevOps mindset with ownership from development and testing through to deployment and operation.
• Strong communication and collaboration skills, with proficiency in English, both written and spoken.
• Strong experience in one or more platform engineering domains; deep expertise in all domains is not expected.
• Ownership mindset: proactive, takes responsibility, follows through and learns from failure.
• Courage: speaks up on opportunities and steps up on needs, and constructively challenges the status quo.
• Innovation: curious, tests and learns, and brings ideas and market trends to the team.
• Team play, integrity and respect: collaborates, holds high standards and communicates inclusively.
• A growth mindset focused on continuous learning and adaptability to change.

• CI/CD: 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.

• Part of a company where digital transformation, innovation and continuous improvement are core principles of the culture.
• Membership of a team of talented and passionate engineers, with opportunities to grow and reach expectations.
• Part of a highly engaged, multinational organisation with international career opportunities.
• Individual development, training and a tech community.
• Hybrid work setup: a flexible remote work environment (40% weekly within Spain) combined with onsite facilities and culture.
• Competitive salary, benefits and valuable discounts on adidas products.

Adidas has been defining sport culture since the beginning, with more than 75 years of unmatched history and tradition in creating iconic products, consumer connections and experiences. The company describes itself as creators, makers and doers who help athletes make a difference not just in their games but in their lives and in their world.