Enterprise Advanced is a distributed team across Europe and India that builds the software running MongoDB on any infrastructure, at global scale — from on-prem data centers to private cloud. You'll work primarily on Ops Manager and Automation, the systems that let customers deploy fault-tolerant, globally distributed MongoDB clusters in minutes. Our software manages some of the largest self-managed MongoDB deployments in the world, with production clusters running hundreds of shards and nodes under a single deployment.
The main focus of this team is to adapt our software to manage MongoDB clusters which are deployed in data centers or private cloud platforms.
You will work on the core functionality for all of our products, mainly on the Ops Manager , and Automation products. Our team's end users are some of the largest businesses in the world, deploying massive clusters and processing huge amounts of data.
This role is based in our Gurgaon office, and can work in a hybrid fashion.
This role will report to the Senior Engineering Manager also based in our Gurgaon office.
Own end-to-end delivery of complex projects, from design through incremental shipping
Troubleshoot and resolve issues surfaced in customer deployments running at scale
Apply engineering judgment and MongoDB's core values across planning, design, and code review
You're flexible! 4+ years experience with a language such as Java or GO.

- Experience building multi-threaded, asynchronous, distributed systems
- Good knowledge of Computer Science fundamentals (data structures and algorithms)
- Familiarity running services on Cloud Infrastructure (Amazon AWS, Google Cloud Platform, Microsoft Azure), using containers and/or container orchestration platforms (Docker, Kubernetes, Openshift)

Experience working directly with production systems
Experience with multiple programming languages
Experience with the MongoDB Server (specialized,



in-depth training will be provided upon joining)
Experience or interest in full-stack web application development
Generous compensation package (top-range salary, equity, comprehensive benefits)
Hybrid working model (3 days in office, 2 days working from home)
Team budget for attending industry-specific conferences and training
Engineers in our team have the chance to work with multiple programming languages (JAVA, Javascript/React, Golang, Python)
About MongoDB
MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the data platform for the AI era, enabling builders to create, transform, and disrupt industries with software. MongoDB’s unified data platform, the most widely available, globally distributed data platform on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud data platform and is available across AWS, Google Cloud, and Microsoft Azure.
With offices worldwide and over 67,000 customers, including AI-native startups and approximately 75% of the Fortune 100, relying on MongoDB for their most key applications, we’re powering the next era of software.
Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB.
From employee affinity groups, to fertility assistance and a generous parental leave policy , we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB , and help us make an impact on the world!
MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.
MongoDB is an equal opportunities employer.

📌 Software Engineer - Work From Home (Gurugram)
🏢 MongoDB
📍 Gurugram