Senior Software Engineer

MongoDB

Confirmed live today High trust

Hybrid

Quick summary

Work type: Hybrid
Location: Gurugram, India
Posted: 9 days ago
Freshness: Confirmed live today
Nearby: 34 roles within 25 mi

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Salary context

How this pay compares to similar roles

Similar $176k

$106k most similar roles pay here $248k

This listing doesn't post a salary. Most similar roles pay $150,000–$202,120.

Based on 240 similar postings.

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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 206 open roles on FindRole.

Listed pay typically runs $126,000–$241,000 across 57 roles with salary data.

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At a glance

TL;DR · Senior Software Engineer

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As a Senior Software Engineer on the Gurugram Products & Technology team, you will provide technical direction and architecture while implementing core components of a new platform designed to simplify building AI applications. You will manage high-visibility projects focused on improving the performance, scalability, and reliability of distributed systems infrastructure for this specific product. Your daily responsibilities include designing, building, and delivering well-tested code, conducting code reviews, mentoring fellow engineers, and shaping development practices as the team grows. The role requires a strong background in building core components for high-scale compute and data distributed systems or foundational cloud services. You will work with Python, Go, and Java, while potentially utilizing containerization and orchestration platforms like Kubernetes along with various AI frameworks to solve complex problems within the distributed systems and database domain.

What does a Software Engineer earn?

Median $196750 from 2011 postings across 148 companies.

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Skills

Distributed Systems Python Go Java Kubernetes Containerization AI Frameworks MongoDB Cloud Services Performance Tuning

What you'll do

Provide technical direction and design architecture for a new platform to facilitate AI application building.
Develop cutting-edge technologies to enable the deployment of AI applications at scale.
Improve performance, scalability, and reliability of distributed systems infrastructure.
Build and deliver well-tested core components of the platform in collaboration with cross-functional teams.
Shape architecture, code reviews, development practices, and developer experience as the product grows.
Mentor fellow engineers and take ownership of high-visibility projects.
Identify problems and implement solutions for complex distributed systems or database challenges.

What we're looking for

Strong background in building core components for high scale compute and data distributed systems.
5+ years of experience building distributed systems or foundational cloud services at scale.
Interest in working with Python, Go, and Java.
Proven success in designing, writing, testing, debugging, and performance tuning highly concurrent software systems in large code bases.
Track record of identifying problems and delivering complex projects in distributed systems or databases.
Good verbal and written technical communication skills.
Experience with containerization and orchestration platforms like Kubernetes (preferred).
Experience with AI frameworks and tools (preferred).

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