Job Description

About MoEngage

MoEngage is an intelligent customer engagement platform for the customer-obsessed marketer. We help you delight your customers and retain them for longer. With MoEngage you can analyze customer behavior and engage them with personalized communication across the web, mobile, and email. MoEngage is a full-stack solution consisting of powerful customer analytics, AI-powered customer journey orchestration, and personalization -  in one dashboard

In just four years since its inception, MoEngage is working with leading brands across e-commerce, entertainment, travel, publishing, and banking domains among others. With marquee clients like Vodafone, Oyo, Airtel, McAfee, MoEngage has over 250+ paying Customers in the Enterprise & Internet companies space in India, US, South East Asia & EU. With a global presence spanning 35 countries, MoEngage has offices in San Francisco, Berlin, Jakarta, and Bengaluru.

Today, MoEngage is an industry pioneer in the space and engages more than 500M+ devices. This includes approximately 40B+ events tracked per month, 40B+ messages sent, to millions of users, and growing exponentially across the globe.

As part of the Engineering team at MoEngage, here are some things you can expect:

• Take ownership and be responsible for what you build - no micromanagement

• Work with A players (some of the best talents in the country), and expedite your learning curve and career growth

• Make in India and build for the world at the scale of 400M+ active users, which no other internet company in the country has seen

• Learn together from different teams on how they scale to millions of users and billions of messages. 

• Explore the latest in topics like Data Pipeline, MongoDB, ElasticSearch, Kafka, Spark, Samza and share with the team and more importantly, have fun while you work on scaling MoEngage.

About Data team, 

Data Team at MoEngage operates highly-available RESTful web-services to ingest millions of events per minute rolling up to billions of events. We build and maintain highly scalable and reliable data pipelines to process user traits generated by millions of users every day from all over the world. Our systems handle ~3.5 million rpm at peak. These requests generate close to 2 billion MongoDB interactions per day with a peak of 5 million per minute.

As a member of the Data team, you will be working with cutting-edge data engineering and distributed computing problems, work on improving throughput, reducing latency and maintaining uptime of data pipeline and web services, work on writing test-driven code for processing TBs of data in a multi-region distributed systems.

Here are some of the challenging projects we are working on as part of Data team. 

• Scaling the current data pipeline to handle 4X of the present scale within the next one year.

• Scaling data pipeline to real-time processing engine.

• Building performance monitoring systems for databases, web services and processing engine.

Skill Requirements:

• 3-5 years of proven experience in coding for scalable data ingestion pipeline.

• Expert in Java related technologies and frameworks.

• Knowledge on Python along with Java is preferable

• Must have the ability to take accountability and ownership of modules he owns.

• Experience in Data processing technologies like Flink, Kafka, Spark/Storm/Samza is a plus.

• Familiarity with at least one of the cloud computing infrastructure - GCP / Azure / AWS.

• Tech Stack - Java, Python, Flink, Kafka, MongoDB, AWS,

Roles and Responsibilities:

• Thinking big and executing with great focus with a milestone-based approach rather than Big bang.

• Coding by keeping scale, high availability, and cost-efficient in mind.

• Ability to learn, adopting great tech processes and tools.

• Owning problem statements and solutions built to solve it.

• Open to work on the polyglot tech stack