Database Administrator

MoEngage is an insights-led customer engagement platform, trusted by 1,200+ global consumer brands. As a **_Great Place to Work Company_** we are a young, fast-paced and intelligent customer engagement platform that fosters a culture of innovation, ownership, freedom, and fun while building future-ready technology products. Sitting at a conflux of diverse technologies like _Artificial Intelligence, Big Data, Web & Mobile platforms_, MoEngage technology analyzes billions of data points generated by customers and their devices in order to predict their behavior and engage them at every touchpoint throughout their lifecycle with personalized communication.

In just eight years since our inception, we have worked with **leading Fortune 500 brands **such as** Deutsche Telekom, Samsung, Ally Financial, Vodafone, and McAfee **along with internet-first brands such as **Flipkart, Ola, OYO, Bigbasket, and Sharechat, **with a global presence that encompasses **35 countries. **We currently have offices in San Francisco, Boston, London, Dubai, Ho Chi Minh city, Bangkok, Kuala Lumpur, Singapore, Sydney, Vietnam, Berlin, Jakarta, and Bengaluru.

The care we give to our customers is quite high Our achievement of top service and support ratings in **Gartner's Magic Quadrant, Gartner Peer Insights, and G2 Summer Reports** is a testament to that. Another commendable quality is our people-centric culture, as we have recently been included in **Battery Ventures' top 25 private cloud computing companies**. As recognized by the** DivHERsity** Awards, we are one of the top 20 diversity companies in the world, while the** Economics Times **names us as one of the Top Organizations for Women.

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**:

- Make in India and build for the world at the scale of 500M active users, which no other internet company in the country has seen
- 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
- Learn together from different teams on how they scale to millions of users and billions of messages.
- and more importantly, have fun while you work on scaling MoEngage.

We process, in real time, more than **40 Billion** events per month. On an average day we send more than 3 Billion Intelligent push notifications through our systems and build stats for them, all in real time. Processing Speed is super critical to everything we do. As a team member, you will be constantly challenged to save those extra milliseconds and nanoseconds from your processing time. We are a small and close-knit team, we believe in learning and growing together.

**Requirements**:
2+ years hands-on experience on NoSQL databases with at least 1 year as DBA on MongoDB
Experienced in hosting and maintaining large MongoDB clusters on AWS/Azure and owning it
Experience in one or more of the Time Series Databases - like InfluxDB, Prometheus, Victoria Metrics
Bonus if experienced in managing ScyllaDB clusters, AWS ElastiCache
Bonus if experienced with automation using Terraform

**Roles and Responsibilities**:
Enhancing the scalability and performance of existing database architecture - adding / removing shards regularly
Performing database maintenance, migration and upgrading hardware and software.
Conducting diagnostic tests, evaluate performance metrics and ensure high availability or uptime of database services
Owning the entire mongodb infra in cloud - Servers (ec2 Instances), storage etc
Monitor the overall health parameters of the clusters like CPU Utilisation, Memory utilisation, Operation Execution times, Replication lag, load balancing of data and queries and identify the stress areas
Documenting processes and complying with best practices in database management
Automate Routine or manual DBA activities