Senior Staff Engineer, MongoDB Developer Productivity

MongoDB

Quick summary

Work type
On-site
Location
New York, NY
Salary
$185,000–$363,000 / yr
Posted
13 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $192k
This role $274k
$133k most similar roles pay here $388k

This role pays more than 94% of similar roles. Most pay $157,492–$227,487 — the shaded band above. At the midpoint, this role pays about $274k versus about $192k for comparable roles.

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 Staff Engineer, MongoDB Developer Productivity

The Senior Staff Engineer role on the Developer Productivity team at MongoDB involves shaping and enhancing the software development ecosystem used by thousands of engineers across various platforms and cloud environments. This position requires partnering with engineering leadership to identify opportunities for accelerating developer velocity through smart data collection and integrating analytics assistants that provide actionable insights. Key responsibilities include driving operational excellence standards, designing systems to ensure best practices, advising on technical implications, leading large-scale projects focused on improving productivity and software quality, and mentoring team members. Ideal candidates have over a decade of experience in developer productivity roles, expertise with languages like C++, Java, Go, Python, Rust, Node, and TypeScript, and extensive knowledge of DevOps culture, CI/CD pipelines, metrics implementation, observability tools, and data processing technologies such as Iceberg, Trino, and Kafka. Experience with database internals or core components for data processing systems is a plus.

What you'll do

  • Drive operational excellence for internal software development tools and services.
  • Design systems to ensure best practices in developer productivity and quality.
  • Advise engineering partners on technical implications of system design complexity.
  • Lead large projects to improve developer productivity with data-driven insights.
  • Provide mentorship and leadership, promoting best practices within the team.

What we're looking for

  • Minimum 10 years of experience in developer productivity with complex systems.
  • Strong expertise in multiple programming languages like C++, Java, Go, Python, Rust, Node, Typescript.
  • Extensive knowledge and hands-on experience with CI/CD pipelines and deployment models.
  • Proven ability to drive technical execution for large teams (50+ members).
  • Experience implementing metrics, observability tools, and data processing pipeline technologies.
  • Skilled in advocating for the needs of a large customer base to internal platform teams.
  • Strong understanding of DevOps culture and tooling.

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