Senior Software Engineer, Enterprise Advanced

Posted Yesterday
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Gurugram, Haryana
Hybrid
Senior level
Big Data • Cloud • Software • Database
MongoDB empowers innovators to create, transform, and disrupt industries by unleashing the power of software and data.
The Role
Design, implement, and test features for MongoDB's Cloud Manager and Ops Manager. Troubleshoot customer bugs while collaborating with a diverse team on complex projects.
Summary Generated by Built In

MongoDB’s mission is to empower innovators to create, transform, and disrupt industries by unleashing the power of software and data. We enable organizations of all sizes to easily build, scale, and run modern applications by helping them modernize legacy workloads, embrace innovation, and unleash AI. Our industry-leading developer data platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available in more than 115 regions across AWS, Google Cloud, and Microsoft Azure. Atlas allows customers to build and run applications anywhere—on premises, or across cloud providers. With offices worldwide and over 175,000 new developers signing up to use MongoDB every month, it’s no wonder that leading organizations, like Samsung and Toyota, trust MongoDB to build next-generation, AI-powered applications.

The Enterprise Advanced team is a diverse group of individuals across Europe and India who develop software to run MongoDB on any type of infrastructure at global scale.  Our software and services allow users to deploy fault-tolerant, globally distributed MongoDB clusters in minutes.

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, Cloud 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.

We are looking to speak to candidates who are based in Gurugram for our hybrid working model.

This role will report to the Engineering Manager also based in our Gurgaon office.

What you’ll do

  • Design, implement, test, and release features for Cloud Manager and Ops Manager
  • Test and incrementally ship elements of complex projects
  • Apply our core values to your work, in planning, design, and coding
  • Assist with troubleshooting bugs in customer deployments

A great fit for this role will be

  • Someone who loves programming!
  • Someone who enjoys working with others to achieve a common goal!
  • You're flexible! You're willing to take on a wide variety of responsibilities, learning as you go
  • You're a self-starter! You're comfortable organizing your own time, acting on feedback and prioritizing with guidance from senior members of your team

Requirements

  • Strong 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)
  • Good understanding of Object Orientation concepts
  • Ability to think conceptually and design modular, complex systems

Nice to haves

  • 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

What is in it for you

  • Generous compensation package (top-range salary, equity, comprehensive benefits)
  • Flexible working options
  • Opportunities to learn on the job (time to upskill in new technologies)
  • Team budget for attending industry-specific conferences and training
  • High level of independence in your day to day work
  • Engineers in our team have the chance to work with multiple programming languages (JAVA, Javascript/React, Golang, Python)
  • You'll be joining a good-humored supportive team that works well together!

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. 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.**

Requisition ID 1263089053

Top Skills

Amazon Aws
Docker
Go
Google Cloud Platform
Java
JavaScript
Kubernetes
Azure
MongoDB
Openshift
Python
React

What the Team is Saying

Sunsharay
Sachin
Bianca
Garaudy
Erica
Ava
May
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The Company
HQ: New York, NY
5,550 Employees
Hybrid Workplace
Year Founded: 2008

What We Do

The database market is big. How big? Well, according to IDC, it’ll reach $153 billion by 2027. And MongoDB is at the forefront of that innovation with thousands of customers across the globe. We empower developers and businesses to build and deploy the applications they want, wherever they want.

Why Work With Us

We are ambitious. We are passionate about creativity. And we believe the best paths are the ones we have yet to forge.

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MongoDB Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

MongoDB provides multiple working model options for our employees, including the flexibility to work from home to opportunities for collaboration and social interaction in a MongoDB office.

Typical time on-site: Flexible
HQNew York, NY
Austin, TX
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Barcelona, Catalonia
Dublin, IE
Gurugram, Haryana
London, GB
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London, GB
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Milano, IT
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Palo Alto, California
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