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We are looking to speak to candidates who are based in Gurugram for our hybrid working model.
MongoDB seeks an experienced Senior Software Engineer to join Enterprise Architecture on a focused team dedicated to AI experimentation. You'll partner with teams across the organization, including Internal Engineering, to explore, prototype, and validate emerging AI capabilities before they become formal roadmap priorities.
- Has 6+ years of professional software engineering experience
- Deep experience with at least one modern programming language (Python, Typescript, Go, Rust, etc.)
- Strong technical judgment and the ability to independently solve complex engineering problems
- Excellent communication skills and comfort collaborating across teams and disciplines
- Comfortable operating in ambiguity, scoping and running experiments when the right approach isn't known yet
- Hands-on experience prototyping with LLMs or agentic systems (evals, fine-tuning, RAG, tool use, orchestration frameworks)
- Has the ability to iterate fast, specially in the case where requirements are not clear
- Keeps up with emerging AI tooling and models, not just what's already mainstream
- Collaborative, detail-oriented, and passionate about building reliable, usable software
- Experience building and maintaining full-stack applications, from front-end UIs to backend API to data pipelines
- Experience designing systems or services used by other engineers or teams
- Knowledge of any of the following technologies: Tanstack Start, Next.js, FastAPI, React
- Experience with model evaluation frameworks, vector databases, or agent orchestration tooling (e.g., LangGraph)
- Familiarity with transformer architecture and model internals
- Familiarity with containerized applications, Kubernetes, and ability to design CI/CD pipelines
- Design and run experiments that test emerging AI capabilities against real internal use cases, before they're formally prioritized. Condense the learnings of those experiments and document them so that the knowledge can be used across the org.
- Build lightweight prototypes to validate or kill ideas quickly
- Stay current on new AI tooling and models, and turn relevant developments into concrete internal proof points
- Partner with product, platform, and internal engineering teams to hand off validated capabilities once they're ready to move from experiment to production
- Maintain technical rigor and clear documentation of findings, even for work that doesn't ship
- Identify and communicate risks, unknowns, and open questions clearly to stakeholders
- In three months, have run and documented at least one AI capability experiment, with a clear recommendation on whether and how to pursue it further
- In three months, demonstrate the ability to move quickly from idea to working prototype
- In six months, have influenced the org's roadmap or tooling direction by surfacing a capability two to three steps ahead of current need, backed by evidence from your experimentation
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 | 3273558098 |
Salary not disclosed for this role. See what similar remote roles pay →
Health Insurance
Dental Insurance
Vision Insurance
Life Insurance
Disability Insurance
Health Savings Account (HSA)
Flexible Spending Account (FSA)
Mental Health Benefits
Gender Affirming Care
Pet Insurance
Employee Assistance Program
Wellness Programs
Fitness Stipend
401(k) / Retirement Plan
Equity / RSUs
Employee Stock Purchase Plan
Performance Bonus
Commuter Benefits
Relocation Assistance
401(k) Match
Unlimited PTO
Paid Holidays
Sick Days
Flexible Schedule
Parental Leave
Fertility Benefits
Adoption Leave
Childcare Support
Caregiver Policy
Mentorship Program
Learning & Development Budget
Conference Attendance
Defined Career Pathways
Employee Resource Groups
Charity Matching
Employee Recognition Awards
Free Snacks & Drinks
MongoDB assigns one of four working models per role: In-Office, Flexible, Fully Remote, or Customer-Facing Remote, so remote eligibility is role-specific rather than company-wide. Most current openings are hybrid: of roughly 400 active roles, only about 27 are fully remote. Confirm the working model on the specific job before applying.
MongoDB has offices in more than a dozen cities, including New York (its headquarters), San Francisco, Palo Alto, Austin, London, Paris, Barcelona, Milan, Dublin, Sydney, Singapore, Seoul, Gurugram, Mexico City, and Sao Paulo. Active hiring spans more than 20 countries, concentrated in New York, Dublin, and Gurugram.
Compensation is geo-based, calibrated to the local market for each role. Equity is granted as RSUs that vest over four years (25% after the first year, then 6.25% each quarter), and employees can buy shares through an Employee Stock Purchase Plan at a 15% discount. Median total compensation sits around 217K USD.
Alongside medical, dental, and vision coverage, MongoDB offers unlimited PTO, paid parental leave for all caregiver designations, fertility, adoption, and gender-affirming care support, FSA and HSA options, and a learning-and-development budget with defined IC and management career pathways. Wellness perks are quantified at roughly 7,493 USD per year.
MongoDB is candid about intensity. Work-life balance is a recognized weak spot, with around half of employees reporting burnout, and the cadence is widely described as fast or extremely fast. It tends to suit people who thrive on high-growth momentum more than those seeking a steadier rhythm.
MongoDB fits developers and go-to-market professionals who want to work on a database platform at public-company scale with a broad, self-built product surface spanning Atlas, Vector Search, Stream Processing, Compass, and Charts. Sales roles see top-quartile quota attainment, and professional development ranks among the strongest in software.