Lead Engineer - Consumer Intelligence & Engagement

PUMA Gruppe

Pune District

On-site

INR 4,000,000 - 7,500,000

Full time

14 days+

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Job summary

PUMA is seeking a Lead Backend Engineer to provide technical leadership for membership and loyalty capabilities, building scalable, low-latency services on cloud-native platforms. You will own architectural standards and drive impactful decisions across the Antavo-powered ecosystem.

We value experience in Java, Spring Boot, microservices, and AI-assisted engineering tools, with a track record of mentoring teams and delivering reliable systems in eCommerce contexts.

Qualifications

  • 10+ years designing and building large-scale distributed backend systems on cloud-native platforms.
  • 3+ years leading a technical capability or team.
  • Hands-on with loyalty and membership capabilities (Antavo).
  • Strong understanding of microservices architecture in eCommerce.
  • Expertise in Java, Spring Boot and related frameworks.
  • Experience with Redis caching.
  • Experience with Kafka and streaming platforms.
  • Experience with SQL and NoSQL databases and distributed data management.
  • Observability, reliability engineering and performance optimization.
  • Experience using AI-assisted engineering tools.

Responsibilities

  • Lead design and development of membership and loyalty capabilities leveraging Antavo.
  • Own architecture, engineering standards, and key technology decisions across core capabilities.
  • Design scalable, low-latency APIs and event-driven services for real-time use cases.
  • Integrate LLM APIs and AI services for intelligent consumer experiences.
  • Integrate with SFCC and Fluent Commerce for membership updates.
  • Ensure secure, observable, reliable and resilient solutions through engineering practices.
  • Drive engineering excellence via architecture reviews, code reviews, and mentorship.
  • Improve performance, scalability and operational efficiency through automation.

Skills

Microservices architecture
Backend engineering
API design
Cloud-native platforms
Mentorship
Stakeholder influence
AI-assisted engineering
eCommerce domain
Leadership
Real-time systems

Tools

Java
Spring Boot
Redis
Kafka
SQL/NoSQL databases
Observability tools
LLMs / AI tools

Job description

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 BE YOU to let our individual talent and experience shine.

As a Lead Engineer, you will provide technical leadership for the team building production grade backend services for the membership and loyalty capabilities. You will own technical architecture, engineering standards and key technology decisions, ensuring solutions are scalable, reliable, and resilient. Working closely with the Engineering Manager, Product Owners, and Data Engineering teams, you will deliver low latency services that support real-time consumer experiences. You will champion engineering best practices, code quality, observability, and continuous improvement across the team.

What you will do:
  • Lead the design and development of membership and loyalty capabilities leveraging Antavo platform.
  • Own technical architecture, engineering standards, and key technology decisions across the core capabilities of Antavo platform, extensions and integrations.
  • Design and build scalable, low latency APIs, event-driven services, and integration layers that support real-time and batch use cases.
  • Integrate LLM APIs and AI services to enable intelligent consumer experiences and business capabilities.
  • Integrate with other commerce platform applications (SFCC, Fluent Commerce) for membership and loyalty updates.
  • Ensure solutions are secure, observable, reliable, and resilient through strong engineering practices.
  • Drive engineering excellence through architecture reviews, code reviews, technical mentorship, and continuous improvement.
  • 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.
  • Provide technical leadership across teams.
  • 10+ years of experience designing and building large scale distributed backend systems on cloud-native platforms.
  • 3+ years of experience leading a technical capability, project or engineering team.
  • Hands-on experience building and operating loyalty and membership capabilities in products like Antavo.
  • Strong understanding microservice based architecture and experience in building microservices in eCommerce domain.
  • Expertise in backend engineering, API design, microservices, event-driven architectures, and scalable integration patterns using Java, Spring Boot and related frameworks.
  • Experience with Redis or equivalent caching systems.
  • Experience in event based streaming platforms like Kafka
  • Experience with SQL and NoSQL databases, database architecture and distributed data management.
  • Experience with observability, reliability engineering and performance optimisation.
  • Proven ability to drive architectural decisions, influence technical direction and mentor engineers.
  • 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.

Welcome to Bangalore, India, one of the liveliest places in the world. With its lively mix of nationalities, PUMA feels right at home.

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