PUMA Group Logo

PUMA Group

Software Engineer II (Full Stack) - Consumer Intelligence & Engagement

Posted 13 Hours Ago
In-Office or Remote
Hiring Remotely in United Kingdom
Mid level
In-Office or Remote
Hiring Remotely in United Kingdom
Mid level
Build scalable, low-latency backend APIs, event-driven services, integration layers, and microservices supporting personalization and recommendation experiences. Partner with AI/ML and data engineers to deploy models, expose AI services, and develop React applications. Improve security, observability, reliability, performance, scalability, and operational efficiency while using AI-assisted engineering tools to enhance delivery and code quality.
The summary above was generated by AI

SPEED & SPIRIT is what we look for in our candidates, defined by some simple values that inspire us to BE DRIVEN in our performance, BE VIBRANT in our sporting legacy, BE TOGETHER in our team spirit, and to let our individual talent and experience shine. Applying for a job at PUMA is easy.

Simply click APPLY ONLINE and follow the steps to upload your application.

YOUR MISSION

About the Organisation & Role:

You will be part of the Consumer Intelligence & Engagement organisation responsible for delivering the intelligence and engagement capabilities that enable more relevant and personalised consumer experiences across digital channels. The organisation plays a key role in how consumers discover products, engage with content, and elevate experiences through membership & loyalty. Through capabilities such as personalisation, recommendations, consumer intelligence, experimentation, and AI-driven decisioning, the organisation helps deliver more contextual, data-driven interactions across the consumer journey.

As a Software Engineer (Full Stack), you will build the backend services that power personalisation and recommendation capabilities. You will be responsible for technical design, build and validation. Working closely with the Lead Engineer and Engineering Manager, you will deliver low latency services that support real-time consumer experiences.

What you will do:

  • Design and build scalable, low latency APIs, event-driven services, and integration layers that support real-time and batch recommendation use cases.
  • Partner with AI/ML Engineers and Data Engineers to deploy machine learning models and recommendation algorithms relevant for the business use case.
  • Expose AI services and microservices for the consumer layer.
  • Build UI Applications using React framework.
  • Ensure solutions are secure, observable, reliable, and resilient through strong engineering practices.
  • Optimise performance, scalability, reliability, and operational efficiency through automation and proactive improvements.
  • Leverage AI-assisted engineering practices and tools to improve engineering productivity, code quality, and delivery effectiveness.

YOUR TALENT
  • 4+ years of experience designing and building large scale distributed backend systems on cloud-native platforms.
  • Hands-on experience building and operating recommendation and personalisation capabilities.
  • Expertise in backend engineering, API design, microservices, event-driven architectures, and scalable integration patterns using Java, Spring Boot and related frameworks.
  • Frontend Development experience using React.
  • Experience with Redis or equivalent caching systems.
  • Experience with event streaming platforms such as Kafka.
  • Experience with observability, reliability engineering and performance optimisation.
  • Experience using coding agents, LLMs or AI-assisted engineering tools to improve software delivery and developer productivity.
  • Experience in eCommerce, retail, or consumer digital products is strongly preferred.

PUMA provides equal opportunities for all job applicants, regardless of race, color, religion, national origin, sex,

gender identity or expression, sexual orientation, age, or disability. Equality for all is one of the core principles at

PUMA and we do not tolerate any form of harassment or discrimination.

At PUMA, every application is reviewed by real people who are committed to fairness, transparency, and equal

opportunity - no matter your background, identity, or experience.To ensure our process stays true to these values, no automated systems or AI tools are used to make hiring decisions. Every decision is made by real people -with real judgment and accountability. We may use functions supported by Artificial Intelligence (AI) to carry out isolated organizational steps, such as scheduling interviews. These functions have no influence on decisions in the application process. We believe in creating spaces where everyone is welcome, celebrated, and empowered to contribute authentically. Because at PUMA, whoever wants to play, can play.

PUMA is a global sports brand creating footwear, apparel, and accessories that inspire athletes and everyday movers. The PUMA Group owns PUMA, Cobra Golf, and stichd, operates in 120+ countries, and has around 22,000

employees worldwide.

PUMA Group London, England Office

Sea Containers 22 Upper Ground, London, United Kingdom, SE1 9AE

Similar Jobs

Yesterday
In-Office or Remote
United Kingdom
Mid level
Mid level
Retail • Sports
Build and operate scalable, low-latency backend services, APIs, event-driven systems, integrations, and frontend applications supporting membership, loyalty, rewards, and consumer engagement. Configure and integrate Antavo with commerce, CRM, CDP, marketing, and data platforms. Apply secure, observable, resilient engineering practices, troubleshoot production issues, and optimize performance. The role requires strong Java and Spring Boot expertise, plus working knowledge of React, Node.js, Kafka, and SQL/NoSQL databases.
Top Skills: Ai-Assisted Engineering ToolsAntavoAPIsCdpCloud-Native PlatformsCRMEvent-Driven ArchitectureFluent CommerceJavaKafkaLlmsMarketing Automation PlatformsMicroservicesNode.jsNoSQLReactSfccSpring BootSQL
53 Minutes Ago
Easy Apply
Remote
Easy Apply
Senior level
Senior level
AdTech • Artificial Intelligence • Big Data • Machine Learning • Marketing Tech • Mobile • Software
Own complex financial files, customer incentive programs, revenue adjustments, forecasting models, and KPI reporting. Design and evaluate deal desk incentives, analyze strategic initiatives, support accounting close processes, and provide financial insights for leadership. The role partners cross-functionally with sales, accounting, analytics, and corporate FP&A while improving financial models, tracking performance, and presenting business drivers through clear analysis and data visualization.
Top Skills: ExcelGoogle SheetsLookerSalesforceTableau
Internship
Blockchain • Fintech • Mobile • Payments • Software • Financial Services
Graduate research internship to own end-to-end research on Customer World Models and proactive intelligence: design representations, develop methods (foundation models, RL, causal reasoning, agentic systems), run experiments, publish, and help ship ML systems that anticipate and act on customer needs.
Top Skills: Deep LearningFoundation ModelsJaxOptimizationPythonPyTorchRepresentation Learning

What you need to know about the London Tech Scene

London isn't just a hub for established businesses; it's also a nursery for innovation. Boasting one of the most recognized fintech ecosystems in Europe, attracting billions in investments each year, London's success has made it a go-to destination for startups looking to make their mark. Top U.K. companies like Hoptin, Moneybox and Marshmallow have already made the city their base — yet fintech is just the beginning. From healthtech to renewable energy to cybersecurity and beyond, the city's startups are breaking new ground across a range of industries.

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account