When 5% of Indian households shop with us, it’s important to build data-backed, resilient systems to manage millions of orders every day. We’ve done this – with zero downtime! 😎 Sounds impossible? Well, that’s the kind of Engineering muscle that has helped Meesho become the e-commerce giant that it is today. We value speed over perfection, and see failures as opportunities to become better. We’ve taken steps to inculcate a strong ‘Founder’s Mindset’ across our engineering teams, making us grow and move fast. We place special emphasis on the continuous growth of each team member - and we do this with regular 1-1s and open communication. Tech Culture We have a unique tech culture where engineers are seen as problem solvers. The engineering org is divided into multiple pods and each pod is aligned to a particular business theme. It is a culture driven by logical debates & arguments rather than authority. At Meesho, you get to solve hard technical problems at scale as well as have a significant impact on the lives of millions of entrepreneurs. You are expected to contribute to the Solutioning of product problems as well as challenge existing solutions. Meesho’s user base has grown 4x in the last 1 year and we have more than 50 million downloads of our app. Here are a few projects we have completed last year to scale oursystems for this growth: ● We have developed API gateway aggregators using frameworks like Hystrix and spring-cloud-gateway for circuit breaking and parallel processing. ● Our serving microservices handle more than 15K RPS on normal days and during saledays this can go to 30K RPS. Being a consumer app, these systems have SLAs of ~10ms ● Our distributed scheduler tracks more than 50 million shipments periodically fromdifferent partners and does async processing involving RDBMS. ● We use an in-house video streaming platform to support a wide variety of devices and networks. What You’ll Do Design and implement scalable and fault-tolerant data pipelines (batch and streaming) using frameworks like Apache Spark , Flink , and Kafka . Lead the design and development of data platforms and reusable frameworks that serve multiple teams and use cases. Build and optimize data models and schemas to support large-scale operational and analytical workloads. Deeply understand Apache Spark internals and be capable of modifying or extending the open-source Spark codebase as needed. Develop streaming solutions using tools like Apache Flink , Spark Structured Streaming . Drive initiatives that abstract infrastructure complexity , enabling ML, analytics, and product teams to build faster on the platform. Champion a platform-building mindset focused on reusability , extensibility , and developer self-service . Ensure data quality, consistency, and governance through validation frameworks, observability tooling, and access controls. Optimize infrastructure for cost, latency, performance , and scalability in modern cloud-native environments . Mentor and guide junior engineers , contribute to architecture reviews, and uphold high engineering standards. Collaborate cross-functionally with product, ML, and data teams to align technical solutions with business needs. What We’re Looking For 5-8 years of professional experience in software/data engineering with a focus on distributed data systems . Strong programming skills in Java , Scala , or Python , and expertise in SQL . At least 2 years of hands-on experience with big data systems including Apache Kafka , Apache Spark/EMR/Dataproc , Hive , Delta Lake , Presto/Trino , Airflow , and data lineage tools (e.g., Datahb,Marquez, OpenLineage). Experience implementing and tuning Spark/Delta Lake/Presto at terabyte-scale or beyond. Strong understanding of Apache Spark internals (Catalyst, Tungsten, shuffle, etc.) with experience customizing or contributing to open-source code. Familiarity and worked with modern open-source and cloud-native data stack components such as: Apache Iceberg , Hudi , or Delta Lake Trino/Presto , DuckDB , or ClickHouse,Pinot ,Druid Airflow , Dagster , or Prefect DBT , Great Expectations , DataHub , or OpenMetadata Kubernetes , Terraform , Docker Strong analytical and problem-solving skills , with the ability to debug complex issues in large-scale systems. Exposure to data security, privacy, observability , and compliance frameworks is a plus. Good to Have Contributions to open-source projects in the big data ecosystem (e.g., Spark, Kafka, Hive, Airflow) Hands-on data modeling experience and exposure to end-to-end data pipeline development Familiarity with OLAP data cubes and BI/reporting tools such as Tableau, Power BI, Superset, or Looker Working knowledge of tools and technologies like ELK Stack (Elasticsearch, Logstash, Kibana) , Redis , and MySQL Exposure to backend technologies including RxJava , Spring Boot , and Microservices architecture About us Welcome to Meesho, where every story begins with a spark of inspiration and a dash of entrepreneurial spirit. We're not just a platform; we're your partner in turning dreams into realities. Curious about life at Meesho? Our people have a lot to say and they've made us the top-rated e-commerce workplace on Glassdoor. Our Mission Democratising internet commerce for everyone- Meesho (Meri shop) started with a single idea in mind -to be an e-commerce destination for the next billion Indian consumers and enable 100 million small businesses to succeed online. We provide sellers with a range of industry-first benefits such as zero commission and the lowest shipping cost. Over 1.75 million sellers are registered on Meesho, growing their business by tapping the company’s massive customer base, state-of-the-art tech infrastructure, pan-India logistics at the lowest cost through third-party logistics providers in an 'Everyday Lowest Cost' channel for sellers. Affordable, relatable merchandise mirroring local markets has helped us make inroads with first-time internet users in the country. We cater to an underserved and unique customer base and cover every serviceable pincode in the country. Our unique business model and continuous innovation has enabled us to become the first Indian horizontal E-commerce company. Culture and Total Rewards Our focus is on cultivating a dynamic workplace characterized by high impact and performance excellence. We prioritize a people-centric culture, dedicated to hiring and developing exceptional talent. Total rewards at Meesho comprises of a comprehensive set of elements - monetary, non monetary, tangible and intangible in nature. Our 11 guiding principles, or " Mantras ," are the backbone of how we operate - influencing everything from recognition and evaluation to growth discussions. Daily rituals & processes like “Reflections”, “Listen or Die” , Internal Mobility Program, Talent Reviews, Continuous Performance Management - all embody these principles. We provide market leading compensation - both cash and equity-based - specific to job roles, individual experience and skill along with our employee centric benefits and work environment. We focus extensively on holistic wellness - through our MeeCare Program - encompassing benefits and policies across physical, mental, financial, and social wellness aspects. This includes extensive medical insurance benefits for employees and their families, wellness initiatives like telehealth, wellness events, and gym & recreational discounts etc. To support work-life balance, we provide generous leave policies, parental support benefits, retirement benefits, and learning and development assistance. Through gratitude for stretched work, personalized gifts, engagement & fun at work - we promote employee delight at the workplace. Many other benefits such as salary advance support, relocation assistance, and flexible benefits plans further enrich the Meesho employee experience. Know more about Meesho here : https://www.meesho.io/ Apply for this job
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