---
title: 'Staff Engineer at MongoDB'
canonical: 'https://feeny.ai/job/staff-engineer-mongodb-gurugram-qj7h6c3kv8nr'
type: 'job'
last_seen: '2026-09-06'
---

# Staff Engineer at MongoDB

- **Company:** MongoDB
- **Location:** Gurugram, India
- **Posted:** 2026-09-01
- **Last confirmed live:** 2026-09-06
- **Apply:** https://www.mongodb.com/careers/job/?gh_jid=7523861

## Job description

We are looking for an experienced Staff Software Engineer with a strong background in building software frameworks, LLM eval frameworks and team leadership. You will lead a talented team building a complex product suite using a modern stack. The ideal candidate is a hands-on technical leader who can drive architectural decisions, mentor engineers, and collaborate closely with product management to deliver a product that solves our customers' most challenging modernization validations problems, ensuring that new applications have the same functionality and performance as their legacy counterparts.

This role will be based in our India office in Gurgaon and offers a hybrid working model.

The ideal candidate for this role will have

- 8+ years of commercial software development experience with at least one JVM language such as Java, preferably using the Spring ecosystem and paired with strong Python experience
- 2+ years of experience leading, coaching, and mentoring a team of software engineers to achieve high-impact results
- Solid experience in software architecture and development
- Familiarity with evaluation frameworks (such as DeepEval, Ragas, and Promptfoo) and harnesses, alongside benchmark datasets, scoring/grading approaches, and LLM-as-a-judge methodologies
- Experience in application/database modernization with proven ability to design and implement frameworks that ensure database state equivalence across different implementations Must understand change data capture, event-driven database interception (MongoDB listeners, RDBMS triggers), and state comparison algorithms with pattern-based exclusions
- Extensive experience with relational and document data modeling and hands-on experience with at least one SQL database (Postgres, MySQL, etc) and at least one document database (e.g. MongoDB)
- Good understanding of algorithms, data structures and their time and space complexity
- Curiosity, a positive attitude, and a drive to continue learning
- Excellent verbal and written communication skills

Position Expectations

- Provide technical leadership and mentorship to a team of engineers, fostering a culture of innovation, quality, and continuous improvement
- Drive the architectural vision and long-term technical roadmap for the Validation and Eval product suite, ensuring it is scalable, reliable, and performant
- Collaborate closely with Product Managers and other stakeholders to define product features and translate business requirements into robust technical designs
- Lead the design and implementation of complex, mission-critical components of our Validation and Eval tools
- Champion and enforce engineering best practices through design reviews, code reviews, and by setting a high standard for quality and operational excellence
- Act as a hands-on leader, guiding the team through complex technical challenges and contributing to the codebase where necessary

Success Measures

- Within the first three months, you will have:
- Fully ramped up on our architecture, business domain, and team processes
- Established yourself as the technical leader within the team, actively driving technical discussions, design reviews, and planning for the product roadmap
- Begin mentoring team members and building strong collaborative relationships with your product counterparts
- Within six months, you will have:
- Successfully led the team to deliver a major feature or product release
- Made significant contributions to the architectural roadmap and started influencing the technical direction of adjacent teams
- Established a clear rhythm of execution and a high-performing culture within your team
- Within 12 months, you will have:
- Become recognized as the go-to technical expert for the modernization Validation and Eval domain at MongoDB
- Delivered large-scale features across the entire tech stack that have a measurable impact on our customers and business
- Played a crucial role in recruiting, hiring, and growing the engineering team

## 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,](https://www.mongodb.com/company) 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](https://www.mongodb.com/company/blog/culture/employee-benefits-that-make-a-difference-at-mongodb), 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](https://www.mongodb.com/blog/channel/culture), 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 4263333169

## About MongoDB

## Company Overview
- **One-liner**: MongoDB provides a modern, multi-cloud data platform that enables organizations to build, deploy, and run data-intensive applications at scale.
- **Entity Type**: Public (NASDAQ: MDB)
- **Headquarters**: New York, USA
- **Founded**: 2007 (as 10gen; renamed MongoDB in 2013)
- **Founders**: Dwight Merriman, Eliot Horowitz, Kevin Ryan

## Core Business
- **Primary industry**: Database software and data platform (document-oriented NoSQL, multi-cloud, AI‑ready)
- **Target customers**: B2B – enterprises, SMBs, and individual developers; also B2C via embedded applications
- **Mission**: “Unleash the power of software and data” [[mongodb.com/company](https://www.mongodb.com/company?jmp=footer)]

## Products & Services
- **MongoDB Atlas** – Fully managed, multi-cloud database service (AWS, Azure, GCP) with built‑in analytics, serverless, and vector search capabilities. [[mongodb.com](https://www.mongodb.com/)]
- **MongoDB Enterprise Advanced** – Self‑managed database for on‑premises or private cloud deployments, with enterprise‑grade security and support.
- **MongoDB Community Server** – Free, open‑source document database for development and small‑scale production.
- **MongoDB Atlas Search & Vector Search** – Integrated search and AI‑driven vector capabilities on the same data platform.
- **MongoDB Realm / Device Sync** (legacy) – Mobile and edge data synchronization (superseded by Atlas Device SDKs).

## Market Standing
- **Valuation/Market Cap**: Not publicly available from provided sources (publicly traded; refer to stock exchange data).
- **Key Metric**: Annual revenue – reported in SEC filings (10‑K for fiscal year ended January 31, 2025) [[investors.mongodb.com](https://investors.mongodb.com/static-files/2e35ada9-36d6-4ea2-a03a-bbba3b559770)].
- **Notable Investors/Partners**: 1,000+ technology and service partners; over 67,000 customers across industries [[mongodb.com/company](https://www.mongodb.com/company?jmp=footer)].
- **Growth Signals**:
  - 5,550 total employees (as of mid‑2026) [[builtin.com](https://builtin.com/company/mongodb/faq/culture-values)]
  - 175,000+ builders (developers) joining the platform every month [[mongodb.com/company](https://www.mongodb.com/company?jmp=footer)]
  - Named “Best Place to Work in 2026” by Built In (Large Companies) [[builtin.com](https://builtin.com/company/mongodb/faq/culture-values)]
  - Recognized as a Leader in the 2025 Gartner® Magic Quadrant™ for Cloud Database Management Systems (4th consecutive year) [[mongodb.com/company](https://www.mongodb.com/company?jmp=footer)]

## Competitive Advantages
- **Document model flexibility** – Schema‑less design allows rapid iteration and handling of diverse data types.
- **Multi‑cloud native** – Same developer experience across AWS, Azure, and GCP, reducing lock‑in.
- **Developer‑centric ecosystem** – Rich drivers, tools (Compass, Shell, VS Code extension), and a large community.
- **AI‑ready platform** – Native vector search and retrieval‑augmented generation (RAG) capabilities for generative AI workloads.
- **Strong partner & customer base** – Thousands of partners and a massive installed base (67k+ customers) create network effects.

## Strategic Focus
- **AI and vector workloads** – Deepening support for AI/ML use cases (vector search, RAG, Atlas for generative AI).
- **Hybrid and flexible work** – Offering in‑office, flexible (1–2 days per week), fully remote, and customer‑facing remote models to attract top talent [[mongodb.com/company/careers](https://www.mongodb.com/company/careers)].
- **Sustainability** – Reducing waste and carbon footprint (e.g., 58% waste reduction in FY24, 100% LED office lighting) [[mongodb.com/company](https://www.mongodb.com/company?jmp=footer)].
- **Developer education & ecosystem growth** – Expanding free tier, certifications, and community programs to drive platform adoption.

## Why Work Here
- **Culture & values**: Guided by principles like “Build Together,” “Make it Matter,” “Own What You Do,” and “Be Intellectually Honest” [[mongodb.com/company/careers](https://www.mongodb.com/company/careers)].
- **Inclusion**: Active Diversity, Equity & Inclusion programs and Employee Resource Groups (e.g., Veterans ERG) [[mongodb.com/company/careers](https://www.mongodb.com/company/careers)].
- **Flexible work models**: Options for in‑office, flexible hybrid, fully remote, and customer‑facing remote; 14 offices globally [[builtin.com](https://builtin.com/company/mongodb/faq/culture-values)].
- **Benefits**: Competitive compensation, plus benefits across four pillars – physical, emotional, financial, and family & community [[mongodb.com/company/careers](https://www.mongodb.com/company/careers)].
- **Career growth**: Leadership development programs, mentorship for students/graduates, and a “think big, go far” ethos.

## Sources
1. [MongoDB Careers Page](https://www.mongodb.com/company/careers)
2. [MongoDB About Page](https://www.mongodb.com/company?jmp=footer)
3. [MongoDB Homepage](https://www.mongodb.com/)
4. [MongoDB 10‑K (March 2025)](https://investors.mongodb.com/static-files/2e35ada9-36d6-4ea2-a03a-bbba3b559770)
5. [MongoDB Culture on Built In](https://builtin.com/company/mongodb/faq/culture-values)

## Other roles at MongoDB

- [Staff Product Manager, AI Builder Experience](https://feeny.ai/job/staff-product-manager-ai-builder-experience-mongodb-toronto-gs6250x3353r) — Toronto, Canada
- [Staff Product Manager, AI Builder Experience](https://feeny.ai/job/staff-product-manager-ai-builder-experience-mongodb-united-states-d9274p57fqyj) — United States
- [Senior Enterprise Account Executive, Public Sector](https://feeny.ai/job/senior-enterprise-account-executive-public-sector-mongodb-mexico-city-ezzxsf5e6g0c) — Mexico City, Mexico
- [Senior Network Engineer](https://feeny.ai/job/senior-network-engineer-mongodb-palo-alto-6tbqrzqb1212) — Palo Alto, CA
- [Senior Partner Solutions Architect (SI Partnerships)](https://feeny.ai/job/senior-partner-solutions-architect-si-partnerships-mongodb-sao-paulo-hyvwz0nvw1g8) — São Paulo, Brazil
- [Senior Partner Solutions Architect (SI Partnerships)](https://feeny.ai/job/senior-partner-solutions-architect-si-partnerships-mongodb-mexico-city-1c6mddvf14f9) — Mexico City, Mexico
- [Regional Revenue Marketing Manager](https://feeny.ai/job/regional-revenue-marketing-manager-mongodb-chicago-apxbhsq6rgkx) — Chicago, IL
- [Associate, HR Shared Services](https://feeny.ai/job/associate-hr-shared-services-mongodb-gurugram-jx3xkqdgb7xh) — Gurugram, India
- [Solutions Architect](https://feeny.ai/job/solutions-architect-mongodb-london-mm111jdq985e) — London, United Kingdom
- [Senior Consulting Engineer](https://feeny.ai/job/senior-consulting-engineer-mongodb-germany-w5ys7y26dy55) — Germany