MongoDBSoftware Engineer 3
MongoDB is hiring a Software Engineer 3 in Gurugram, India. Level rates it ; you can apply on MongoDB.
Level's read on this job
- On Level's scale, this software engineer role is Little AI ●○○○: aI is not part of the work.
- The posting allows some remote work.
- Tools and skills the posting cites include Java, Go and Docker.
- Level classifies it as a senior role.
- Level lists 374 other open roles at MongoDB.
AI in this role
Design, implement, and maintain distributed backend software and automation systems for managing large-scale database deployments.
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.
What you’ll do
- Design, implement, test, and release features for Ops Manager
- 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
A great fit for this role will be
- You enjoy distributed-systems problems; consistency, fault tolerance, and scale are the daily reality, not edge cases
- People who like ambiguity and are comfortable defining their own approach with guidance, not step-by-step instruction
- 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
- 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)
- Good understanding of Object Orientation concepts
- Ability to think conceptually and design modular, complex systems
Nice to have
- 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)
- Hybrid working model (3 days in office, 2 days working from home)
- 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!
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 important 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.
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 3273552501
How we rate this
Software Engineer 3 at MongoDB rates 0 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Also common in software engineer jobs at this level
Pay
- Typical software engineer job
- $167k
This posting doesn't list pay. Use the typical software engineer figure when pay comes up. See software engineer jobs
Questions you could be asked
- Tell me about a project where distributed systems was part of your work. What did you do?
- Tell me about a project where backend engineering was part of your work. What did you do?
- Tell me about a project where cloud infrastructure was part of your work. What did you do?
- What's a project where you used Java hands-on?
- Walk me through how you've used Go in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Distributed Systems, Backend Engineering, Cloud Infrastructure, Java, and Go. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
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