Senior Staff Engineer, Atlas Agent Engine

MongoDB

  • Gurugram, India
  • Full-time
  • Posted 6 Oct 2026

Senior staff engineer for the Atlas agent engine at MongoDB Gurugram, providing technical leadership on a new platform for deploying AI applications.

This full-time Gurugram role was posted on 6 October 2026. The listing describes providing technical direction and implementing core parts of a new platform to make it easier for customers to build AI applications using MongoDB, with technical leadership to teams developing these technologies. Responsibilities include working closely with research, product management, engineering and design, and designing, building and delivering well-tested core platform pieces. Requirements include a strong background in high-scale compute and data distributed systems and 15+ years building distributed systems or foundational cloud services.

About MongoDB

MongoDB builds the document database of the same name and Atlas, its managed cloud database platform. MongoDB stores JSON-like documents instead of tables and rows, and Atlas adds managed hosting across the major clouds along with search, vector search, stream processing and sync features. The company has engineering and business teams in Gurugram and Bengaluru.

The Gurugram and Bengaluru centres cover product engineering, technical services, solutions architecture and go-to-market functions. The company's listings describe hybrid working for India-based roles and collaboration with teams in other countries. Learn more on MongoDB's website.

The role in plain terms

The 15+ year requirement makes this the most senior IC engineering role in this entire list - a true senior staff seat with technical leadership across teams, not one team. The product context is MongoDB's new AI-application platform work in Gurugram, so the role shapes something early rather than maintaining something mature. Expect the bar to match: deep distributed-systems credentials and evidence of leading through architecture.

The team and the work

Per the listing, the collaboration surface spans research, product management, product engineering and design, and the work targets deployment at scale of AI applications on MongoDB's infrastructure.

What the employer asks for

These requirements are quoted from the employer's listing, kept in their exact words so eligibility details are not distorted:

  • Strong background in building core components for high scale compute and data distributed systems
  • 15+ years experience of building distributed systems, and/or foundational cloud services at scale and an interest in working with Python, Go and Java
  • Proven success in designing, writing, testing, debugging, performance tuning, possessing a strong grip on the foundational materials of computer science and maintaining distributed and/or highly...
  • Track record of identifying problems, implementing solutions and delivering complex projects in distributed systems or databases
  • Experience leading 15-20 people projects involving distributed systems infrastructure from conception to successful delivery or experience working through multiple staff engineers in different squads and...
  • Good verbal and written technical communication skills, desire to collaborate with colleagues
  • Bonus points for experience with containerization and orchestration platforms (eg. Kubernetes) and AI frameworks and tools
  • Be a force multiplier in our software development process. Enable teams to deliver great products through leadership and technical contributions

Who this role suits

Senior staff or principal-track engineers with 15+ years on distributed systems or cloud services, who want to define a new AI platform's architecture. Not for senior engineers below the stated experience bar.

Practical notes

For senior staff roles, expect deep architecture interviews and a track-record review of systems you have led. Leadership through influence - RFCs, design reviews, mentorship - is typically assessed explicitly at this level.

Working at MongoDB

Engineering roles at MongoDB India work on the database and the Atlas platform, including newer AI-application tooling. Customer-facing roles support enterprises evaluating and running MongoDB in production.

How to apply

Apply directly on the employer's site: Senior Staff Engineer, Atlas Agent Engine at MongoDB. We found this listing on the Greenhouse public job board (mongodb.com), where it was posted on 6 Oct 2026 and was still open when we checked on 30 Oct 2026. Before applying, re-read the employer's own description in full, since eligibility details, deadlines and process steps can change at any time and the employer's page is always the final word. Tailor your resume to the specific requirements above rather than sending a generic one: mirror the skills and tools the listing names where you genuinely have them. A short, specific note on why this team and this problem interest you goes further than a long generic cover letter. Never pay a fee to apply or interview; genuine employers, including this one, do not charge candidates.

Related openings on GetFirstJob

If this role is not the right fit, these current openings are in a similar area:

We write and maintain this page from the employer's public listing and link straight to their application page. We do not act as a recruiter, and applying is always free. If the link above stops working, the role has likely been filled.

This is our short summary of the employer's listing. The full description, eligibility and deadline are on the employer's page.