Lead Engineer - Consumer Intelligence & Engagement

Puma
Pune
Workplace: OnsiteFull timeFunction: Administration & Executive AssistanceExperience: 10+ yearsSkills: ["Technical leadership","Code quality","Observability","Reliability","Architectural decision-making"]

Lead the delivery of production-grade backend services for personalization and recommendation across digital consumer journeys. Own technical architecture, engineering standards, and key decisions for model serving, inference, experimentation, and feature access, enabling low-latency real-time and batch experiences. Partner with AI/ML and data engineering teams to operationalize machine learning and LLM-powered capabilities, while driving engineering excellence through reviews, observability, reliability, and continuous improvement.

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FursaFursa
Puma
Puma
1 day ago

Lead Engineer - Consumer Intelligence & Engagement

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 13 hours agoStatus: Live

Job Summary

Lead the delivery of production-grade backend services for personalization and recommendation across digital consumer journeys. Own technical architecture, engineering standards, and key decisions for model serving, inference, experimentation, and feature access, enabling low-latency real-time and batch experiences. Partner with AI/ML and data engineering teams to operationalize machine learning and LLM-powered capabilities, while driving engineering excellence through reviews, observability, reliability, and continuous improvement.
Location: Pune
Workplace: Onsite
Employment Type: Full time
Job Function: Administration & Executive Assistance
Seniority: Mid level

Key Responsibilities

  • •Lead design and development of personalisation and recommendation services and applications.
  • •Own technical architecture, engineering standards, and key technology decisions for model serving, inference, and recommendation platforms.
  • •Design and build scalable, low-latency APIs, event-driven services, and integration layers for real-time and batch recommendation use cases.
  • •Partner with AI/ML and data engineering teams to deploy recommendation algorithms and operationalise ML models, experimentation, and feature access.
  • •Drive engineering excellence via architecture reviews, code reviews, technical mentorship, observability, reliability engineering, and continuous improvement.

Key Requirements

  • •10+ years designing and building large-scale distributed backend systems on cloud-native platforms.
  • •3+ years leading a technical capability, project, or engineering team.
  • •Hands-on experience building and operating recommendation and personalisation systems.
  • •Strong knowledge of production ML integration patterns (model serving, inference, experimentation, feature access, observability, operationalisation).
  • •Expertise in backend engineering and scalable integration patterns using Java and Spring Boot, including APIs, microservices, and event-driven architectures.
Experience:10+ yearsECommerceRetailConsumer digital products
Skills:Technical leadershipCode qualityObservabilityReliabilityArchitectural decision-making
Tech Stack:JavaSpring BootAPIsMicroservicesEvent-driven architecturesKafkaRedisSQLNoSQLFeature storesVector databasesEmbedding based retrievalLLM APIsAI services

Company Brief

Puma
Global athletic and casual footwear, apparel, and accessories brand designing, developing, marketing and selling sports-inspired products for consumers and athletes worldwide.
Industry: Fashion & Apparel
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Herzogenaurach, Germany
Founded: 1948
WebsiteLinkedIn