1 month ago
Gurgaon, IndiaStaff+
Responsibilities
- Define the first version and future evolution of the service with research, product management, product engineering, product design, and other teams.
- Design, build, test, and deliver core platform components for large-scale AI application deployment.
- Shape architecture, code reviews, development practices, and developer experience as the product grows.
- Improve the performance, scalability, and reliability of distributed systems infrastructure.
- Lead complex distributed systems infrastructure projects from conception through delivery.
- Mentor engineers and provide technical leadership, ownership, and accountability.
Requirements
- 15+ years of experience building distributed systems and/or foundational cloud services at scale.
- Strong background in high-scale compute and data distributed systems.
- Interest and experience working with Python, Go, and Java.
- Proven ability to design, write, test, debug, and performance-tune distributed or highly concurrent software in large, long-lived codebases.
- Track record of identifying problems, implementing solutions, and delivering complex distributed systems or database projects.
- Experience leading projects involving 15–20 people or working through multiple staff engineers across different squads.
- Strong verbal and written technical communication skills and willingness to collaborate.
- Strong foundational computer science knowledge and eagerness to learn.
- Experience with containerization and orchestration platforms such as Kubernetes and AI frameworks and tools is preferred.
Benefits
- Hybrid working model for candidates based in Gurugram.
- Supportive and enriching company culture with employee affinity groups.
- Fertility assistance and generous parental leave policy.
- Disability accommodations are available during the application and interview process.
About MongoDB
MongoDB builds the MongoDB document database and the MongoDB Atlas cloud database service for application developers and enterprises. Its business model centers on cloud consumption (Atlas), commercial subscriptions, and support, with tooling for migration, synchronization, and disaster recovery across on‑prem and multi‑cloud environments. Founded in 2007 and headquartered in New York, it is a public company listed on NASDAQ and widely used across industries worldwide.