Will you be able to thrive in a fast-paced environment where innovation, speed, and customer-centric thinking are the norm? Is it your passion to uncover opportunities others are unaware of and to champion them? Do you crave ownership and a chance to be a part of something that matters? If so, this may be a worthwhile opportunity for you!
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 1.2 billion 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.
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 5X of the present scale within the next one year.
Moving from batch-oriented processing to near-real-time processing engine.
Building performance monitoring systems for databases, web services and processing engine.
Skill Requirements
5-7 years of proven experience in developing scalable REST/gRPC services or streaming pipelines and data intensive applications
Expert in Java programming language and frameworks.
Hands on experience with data modelling, database design and performance
Hands on experience with web frameworks such as Vert.X, SpringBoot, Quarkus is a plus
Hands on experience with data processing technologies such as Kafka, Flink, Spark is a plus
Hands on experience with containerization, docker, kubernetes is a plusko0/j
Roles and Responsibilities:
Thinking big and executing with great focus with a milestone-based approach rather than Big bang.
Designing and Coding by keeping scale, high availability, and cost-efficient in mind.
Mentoring and reviewing the code of fellow colleagues.
Leading a micro team within the team and adopting good tech processes and tools.
Owning problem statements and solutions built to solve it.
Open to work on the polyglot tech stack
What you get:
People first culture
Great teams to work with
Competitive pay
Learnings useful throughout life
Job Classification
Industry: Advertising & MarketingFunctional Area / Department: Engineering - Software & QARole Category: Software DevelopmentRole: Software Development - OtherEmployement Type: Full time