Jobs at PUMA Group

Design, build, and operate resilient Java and Spring Boot backend services for inventory availability, order promising, and fulfillment. Develop event-driven Kafka integrations, concurrency and consistency controls, caching strategies, observability, and graceful degradation mechanisms. Own services from design through production, optimize performance and reliability, integrate with commerce and enterprise platforms, conduct code reviews, document architecture decisions, and mentor junior engineers.

Leads the DTC Platform Engineering organization, overseeing cloud foundations, DevOps, CI/CD, Kubernetes, integrations, quality engineering, performance, security, developer tooling, and AI-enabled engineering platforms. Defines multi-year platform strategy, infrastructure and security standards, self-service capabilities, and delivery governance. Partners with product engineering, security, finance, and infrastructure teams while building and mentoring multidisciplinary engineering teams focused on scalable, secure, reliable, and cost-efficient software delivery.

Own quality strategy, automated testing, and test execution for omnichannel commerce capabilities. Build scalable API, integration, contract, event-driven, and end-to-end test frameworks; manage complex test data; integrate quality gates and regression testing into CI/CD pipelines; define quality metrics; validate order, inventory, fulfillment, returns, and post-purchase workflows; and mentor engineers on quality practices and automation.

Lead quality engineering strategy for web and mobile consumer experiences. Design scalable automation frameworks, establish risk-based testing and governance, build automated web, mobile, API, integration, and end-to-end suites, and embed quality across delivery teams. Drive accessibility, performance, cross-browser and cross-device validation, release readiness, quality metrics, experimentation testing, and continuous improvement while partnering with Product, Design, Engineering, and Architecture.

Leads frontend architecture and engineering for large-scale consumer web applications. Defines standards, reusable patterns, and headless API architectures using ReactJS, TypeScript, Next.js, and GraphQL. Drives performance, Core Web Vitals, accessibility, security, experimentation, design systems, and global scalability through CDN and edge technologies. Partners cross-functionally, mentors engineers, influences architecture across teams, and guides technical decisions for reliable, accessible, high-performing digital experiences.

Leads architecture, development, and evolution of large-scale React Native applications across iOS and Android. Defines mobile engineering standards, reusable patterns, security and privacy practices, release processes, accessibility, performance optimization, API and commerce integrations, experimentation, and design systems. Provides technical direction, partners cross-functionally, makes architectural decisions, mentors engineers, and improves delivery through AI-assisted engineering tools.

Leads architecture, development, and technical strategy for omnichannel Order Management capabilities, including order orchestration, inventory, fulfillment, returns, and post-purchase experiences. Designs scalable API-first, event-driven microservices and integrates OMS with commerce, ERP, WMS, payments, logistics, and customer-service systems. Establishes engineering standards, reliability practices, testing, observability, and performance strategies while mentoring engineers and driving AI-assisted development improvements.

Design, implement, and maintain scalable Java-based software solutions. Collaborate across the SDLC with stakeholders and development teams, integrate DevOps and CI/CD practices, support operational tasks, ensure security and performance, drive feature development, conduct code reviews, and stay current with emerging technologies.

Lead enterprise AI strategy and roadmap; build and scale cross-functional AI/ML teams; architect and deliver LLM, RAG, predictive and data-heavy AI products; establish MLOps, governance, cloud-native platforms (Azure/Databricks/AWS/GCP); drive product lifecycle, KPI tracking, security, and responsible AI practices.

Develop and maintain Digital Workplace tools, working closely with teams, performing testing, debugging, and technical research. Requires web development experience and familiarity with modern software architectures.

Leads PUMA’s eCommerce studio and creative direction for on-model imagery. Oversees shoot scheduling, sample management, production workflows, equipment readiness, peak-season staffing, and cross-functional briefing. Maintains visual quality and brand consistency, supports AI-assisted content integration, manages studio budgets, and develops a high-performing production team working across global and regional functions.

Support 3D designers and manage virtual product creation and eCommerce product data. Coordinate and implement PLM/eCommerce projects, gather business requirements, maintain and develop product data applications, provide training and documentation, and produce reports and analyses.

Support threat intelligence, incident analysis/response, penetration test coordination, vulnerability scanning and remediation tracking, security tool administration, dashboard maintenance, and adherence to security policies while learning and developing cybersecurity skills.

Lead quality strategy and test automation for personalization, recommendation, experimentation and consumer intelligence. Build and maintain automated test frameworks (API, integration, contract, E2E), integrate quality into CI/CD, validate ML-driven outputs and consumer journeys, manage test data/environments, and coach engineers to improve release reliability and engineering quality.

Lead technical design and delivery of membership and loyalty backend services using Antavo. Own architecture, build scalable low-latency APIs and event-driven integrations (SFCC, Fluent Commerce), integrate LLM APIs and AI services, ensure observability, reliability, security, and drive engineering best practices, mentoring, and performance optimization.

Design, build, and maintain production-grade microservices and web applications to power personalization and recommendations. Implement model-serving and inference integrations, ensure resiliency, observability, and low-latency performance, work with event-driven and caching patterns, collaborate with AI/ML and data teams, drive technical designs, mentor engineers, and operationalize services for production readiness.

Lead technical design and delivery of personalization and recommendation backend services: architecture, model serving, low-latency APIs, event-driven integrations, LLM/AI integration, observability, performance optimization, and technical mentorship across teams to enable real-time, data-driven consumer experiences.

Perform various testing operations including UI, functional, and regression tests. Create test scenarios, document defects, and provide support for PLM applications.

Lead a software engineering team building omnichannel commerce services (inventory, delivery promise, integrations). Drive execution (OKRs, sprints, capacity, risk), engineering quality, metrics, AI-assisted practices, stakeholder collaboration, hiring, and vendor management to deliver reliable, scalable commerce capabilities.

Lead and grow a software engineering team building personalization, recommendation, and consumer intelligence services. Own delivery planning, OKRs, sprint execution, quality, CI/CD, experimentation adoption, metrics, vendor management, and coaching to drive reliable, data-driven consumer engagement experiences.