Senior Software Engineer

MongoDB

Hybrid

Quick summary

Work type: Hybrid
Location: Gurugram, India
Posted: 13 days ago
Nearby: 31 roles within 25 mi

Market check

Salary context

How this pay compares to similar roles

Similar $183k

$135k most similar roles pay here $230k

This listing doesn't post a salary. Most similar roles pay $144,350–$221,250.

Based on 240 similar postings.

Employer

About MongoDB

MongoDB is a leading American software company that develops and provides commercial support for a popular, source-available document database. Designed to handle unstructured and structured data natively, its platform is purpose-built for modern cloud applications, analytics, and AI experiences.

MongoDB currently has 287 open roles on FindRole.

Listed pay typically runs $126,500–$209,000 across 104 roles with salary data.

Most-posted roles

View all roles at MongoDB

At a glance

TL;DR · Senior Software Engineer

Apply Now Log in to save

As a Senior Software Engineer joining the Gurugram Products & Technology team at MongoDB, you will provide technical direction and implement core components of a new platform designed to simplify AI application development using MongoDB. Your responsibilities include collaborating with cross-functional teams to define and evolve the service, designing and delivering well-tested platform features, contributing to architecture decisions, conducting code reviews, and mentoring fellow engineers. You should have extensive experience in building high-scale distributed systems and foundational cloud services, proficiency in Python, Go, and Java, and a strong background in computer science fundamentals. Bonus points for familiarity with Kubernetes and AI frameworks. This role involves tackling complex challenges and delivering robust solutions to enhance the performance and scalability of MongoDB’s new product offerings.

Skills

Python Go Java Kubernetes MongoDB Docker CI/CD AWS Grafana Prometheus Terraform

What you'll do

Lead the design and development of core components for high-scale AI application deployment.
Enhance performance, scalability, and reliability of distributed systems infrastructure.
Mentor fellow engineers and ensure project ownership and accountability.
Collaborate on shaping architecture, conducting code reviews, and improving developer experience.
Implement solutions to complex problems in distributed systems or databases.

What we're looking for

5+ years of experience building distributed systems and foundational cloud services at scale.
Strong background in designing, testing, debugging, and maintaining distributed or highly concurrent software systems.
Proven ability to identify problems, implement solutions, and deliver complex projects in distributed systems or databases.
Excellent verbal and written technical communication skills for collaboration with colleagues.
Experience with containerization and orchestration platforms like Kubernetes (preferred).
Track record of contributing to architecture, code reviews, and developer experience as teams grow.