PUMA

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

India · Work style not stated · Full time

Apply on the employer’s site ↗See how well you match this job

You apply directly with the employer. ROLIVA does not submit applications from this page and is not the employer.

About the role

Description from the employer’s posting. Check the employer’s page for the current version.

EmployerPUMA
LocationIndia
Work styleWork style not stated
Employment typeFull time
Employer posted30 Sep 2026

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.

Show full description

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.

See how well you match this job Apply on the employer’s site ↗

Check your resume against this job Free, no sign-up. Nothing you paste is stored.

Staying safe while you apply

Never pay to apply, interview or accept an offer. ROLIVA never asks you for payment to apply to a job.
Apply only through the official “Apply on the employer’s site” button, on the employer’s own site, and check that a recruiter’s email uses that employer’s own domain rather than a free email address.
Be cautious of an offer made with no real interview, or pressure to decide quickly or share financial details early.

Does something look wrong with this listing? Use “Report broken link” in the role details, or read ROLIVA’s full job-safety guidance ↗.

Preparing for this role with ROLIVA

Check the fit.
Compare the requirements with the experience you have confirmed, including gaps.
Prepare honestly.
Build interview stories and application drafts from your own evidence.
Keep track.
Save the role and record your own application status and follow-ups.

Create a free workspace or log in.