Senior Engineer - Enterprise Architecture

Role overview

Senior Engineer - Enterprise Architecture at MongoDB

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

Required qualifications

• <p>- Deep experience with at least one modern programming language (Python, Typescript, Go, Rust, etc.)</p>

Employment details

• Location: Gurugram

About the employer

• <p>MongoDB seeks an experienced Senior Software Engineer to join Enterprise Architecture on a focused team dedicated to AI experimentation.
• <h3>About MongoDB</h3>
• 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.
• <p>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.</p>
• It’s what makes us MongoDB. </p>
• <p>MongoDB is an equal opportunities employer.</p>

Benefits

• <p>To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. <a href="https://www.mongodb.com/company/blog/culture/employee-benefits-that-make-a-difference-at-mongodb">From employee affinity groups, to fertility assistance and a generous parental leave policy</a>, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys.<a href="https://www.mongodb.com/blog/channel/culture"> Learn more about what it’s like to work at MongoDB</a>, and help us make an impact on the world!</p>

Additional role details

• <h3>Team Description</h3>
• 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.</p>
• <h3>Our ideal candidate:</h3>
• <p>- Has 6+ years of professional software engineering experience</p>
• <p>- Strong technical judgment and the ability to independently solve complex engineering problems</p>
• <p>- Excellent communication skills and comfort collaborating across teams and disciplines</p>
• <p>- Comfortable operating in ambiguity, scoping and running experiments when the right approach isn't known yet</p>
• <p>- Hands-on experience prototyping with LLMs or agentic systems (evals, fine-tuning, RAG, tool use, orchestration frameworks)</p>
• <p>- Has the ability to iterate fast, specially in the case where requirements are not clear</p>
• <p>- Keeps up with emerging AI tooling and models, not just what's already mainstream</p>
• <p>- Collaborative, detail-oriented, and passionate about building reliable, usable software</p>
• <h4>Bonus Round:</h4>
• <p>- Experience building and maintaining full-stack applications, from front-end UIs to backend API to data pipelines</p>
• <p>- Experience designing systems or services used by other engineers or teams</p>
• <p>- Knowledge of any of the following technologies: Tanstack Start, Next.js, FastAPI, React</p>
• <p>- Experience with model evaluation frameworks, vector databases, or agent orchestration tooling (e.g., LangGraph)</p>
• <p>- Familiarity with transformer architecture and model internals</p>
• <p>- Familiarity with containerized applications, Kubernetes, and ability to design CI/CD pipelines</p>
• <h3>Position Expectations:</h3>
• <p>- 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.</p>
• <p>- Build lightweight prototypes to validate or kill ideas quickly</p>
• <p>- Stay current on new AI tooling and models, and turn relevant developments into concrete internal proof points</p>
• <p>- Partner with product, platform, and internal engineering teams to hand off validated capabilities once they're ready to move from experiment to production</p>
• <p>- Maintain technical rigor and clear documentation of findings, even for work that doesn't ship</p>
• <p>- Identify and communicate risks, unknowns, and open questions clearly to stakeholders</p>
• <h4>Success Measures:</h4>
• <p>- 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</p>
• <p>- In three months, demonstrate the ability to move quickly from idea to working prototype</p>
• <p>- 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</p>
• <p>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.
• 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.</p>
• <p>Our compass at MongoDB is our <a href="https://www.mongodb.com/company">Leadership Commitment,</a> guiding how and why we make decisions, show up for each other, and win.
• <p>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.</p>
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• <td>Requisition ID</td>
• <td data-provides="requisition_id">3273558098</td>
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