Flipkart
Website:
flipkart.com
Job details:
About Flipkart,
Flipkart is committed to the cause of transforming commerce in India through our investments in made-in-India technology innovations, customer-centric features and constructs, a diverse category landscape and a world-class supply chain. With a customer base of over 350 million, product coverage of over 150 million across 80+ categories, focus on generating direct and indirect employment and a commitment to empowering generations of entrepreneurs and MSMEs and a sustainable growth strategy – Flipkart is maximizing for our customers, stakeholders, and the planet at large! Flipkart is a part of the Walmart-owned Flipkart Group, which also includes group companies Flipkart Health+, Myntra, and Cleartrip.
About Team: The Pricing and Promotions (PnP) platform is the intelligent backbone of Flipkart’s commerce engine, enabling categories and sellers to drive customer value through optimized pricing and personalized targeted offers while ensuring financial efficiency. We are evolving into an AI-first, explainable, and hyper-scalable system that Powers Price and Offers for millions of products across all marketplaces—Flipkart Blue, Minutes, Grocery, and Shopsy.
Tech stack and Tech Scale :-
— Peak Traffic: Managing peak loads estimated to exceed 500,000+ RPS during flagship events like BBD with low latency.
— High Availability: Maintaining 99.99% uptime across mission-critical services while managing over thousands concurrent offers.
— Chance to gain expertise in Apache Storm, Kafka, Aerospike, Redis, Elasticsearch, MongoDB, Spark, Viesti, and cutting-edge GenAI/ML technologies.
You are responsible for:(What you’ll do):
● Architect Scalable Systems: Design and build scalable, distributed, and high-performance consumer-facing platforms to support millions of transactions per second.
● Technical Leadership: Provide thought leadership and direction on key architectural decisions, ensuring alignment with business goals and technical strategy.
● Innovation & Optimization: Identify opportunities for innovation in the consumer shopping experience, leveraging AI/ML, personalization, and performance optimizations.
● Cross-Team Collaboration: Work closely with product, engineering, UX, and data science teams to drive seamless customer experiences across platforms.
● Security & Reliability: Ensure system security, scalability, fault tolerance, and high availability by following industry best practices.
● Mentorship & Guidance: Mentor engineering teams, fostering a culture of excellence, continuous learning, and architectural best practices.
● Technology Evaluation: Evaluate emerging technologies, frameworks, and tools to continuously enhance tech ecosystem.
Skills Required (What you’ll need):
- 16+ years of experience in software architecture, system design, and distributed computing.
- Deep expertise in microservices architecture, event-driven systems, and cloud-native development.
- Strong knowledge of high-scale, low-latency, and high-availability architectures.
- Proficiency in Java (preferred), Golang, Python, or other modern programming languages.
- Hands-on experience with Kafka, Redis, Elasticsearch, Kubernetes, and cloud platforms (GCP).
- Experience with data-intensive applications, AI-driven personalization, and search optimization is a plus.
- Strong understanding of security, compliance, and data privacy best practices.
- Excellent problem-solving skills, leadership abilities, and communication skills.
Click on Apply to know more.