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Open nowPosted 4 hours ago

Senior Software Engineer, Database Integration & Observability

MongoDB361 open roles

Pay
$126,000 – $248,000 a year
Where
Austin; Boston; Chicago; Dallas; New York City; Palo Alto; San Francisco; Seattle; United States
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Your applicationOpen nowSenior Software Engineer, Database Integration & ObservabilityMongoDB · Austin; Boston; Chicago; Dallas; New York City; Palo Alto; San Francisco; Seattle; United States

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The clock on this job

Early applications get read.

13.4% of postings close within 7 days. Measured by our own scanner across the market. MongoDB postings stay open a median of 56 days.

Share of postings closed within
  1. 2.2%1 day
  2. 4.6%3 days
  3. 13.4%7 days
  4. 21.6%14 days
  5. 36.2%30 days
  6. 59.0%60 days
This job: posted 4 hours ago

MongoDB median: 56 days open

The posting

As a Senior Software Engineer on the Database Integration & Observability team, you will drive core initiatives across three key areas:

  • Ecosystem Integrations: Seamlessly connect the MongoDB database with key ecosystem products, including Search, Vector Search, Atlas Stream Processing, and Atlas Data Federation
  • Change Data Capture & Streaming: Enhance and scale our Change Streams product, enabling real-time event tracking and data synchronization across downstream systems.
  • Database Observability: Build advanced diagnostics, query shape statistics, logging systems, and process-level metrics to deliver deep operational insights

Our core services are built primarily in modern C++, though prior professional C++ experience is not required if you possess strong systems programming fundamentals. Our testing and automation infrastructure utilizes JavaScript and Python.

This role can be based out of one of our US offices or remotely in the United States.

Candidate Profile

  • 5+ years of experience in software development and/or performance engineering
  • Experience with large backend/compiled codebases, such as Rust or C/C++
  • Solid computer science fundamentals with expertise in data structures, algorithms, concurrency, and software design architecture
  • Strong interest in database internals, query engines, and distributed systems architecture (hands-on experience or an advanced degree like an M.Sc./Ph.D. in databases is a plus).
  • Experience with observability tooling (e.g. time series metrics, dashboards)

Position Expectations

  • Design, implement, and optimize integrations connecting the MongoDB query engine with our broader ecosystem
  • Write clean, maintainable, and high-performance C++ code while actively participating in code reviews and design discussions
  • Lead projects end-to-end—from initial design to implementation and support.
  • Collaborate cross-functionally with product and engineering peers to define technical roadmaps and deliver robust engineering solutions

Success Measures

  • In 3 months, you'll have shipped code into production and collaborated with the team to solve tough problems
  • In 6 months, you'll have contributed to a large project
  • In 12 months, you'll have designed new features, led development work, and become a go-to expert on parts of the system

About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the data platform for the AI era, enabling builders to create, transform, and disrupt industries with software. MongoDB’s unified data platform, the most widely available, globally distributed data platform on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud data platform and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and over 67,000 customers, including AI-native startups and approximately 75% of the Fortune 100, relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB.

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Req ID: 4273610116

MongoDB’s base salary range for this role is posted below. Compensation at the time of offer is unique to each candidate and based on a variety of factors such as skill set, experience, qualifications, and work location. Salary is one part of MongoDB’s total compensation and benefits package. Other benefits for eligible employees may include: equity, participation in the employee stock purchase program, flexible paid time off, 20 weeks fully-paid gender-neutral parental leave, fertility and adoption assistance, 401(k) plan, mental health counseling, access to transgender-inclusive health insurance coverage, and health benefits offerings. Please note, the base salary range listed below and the benefits in this paragraph are only applicable to U.S.-based candidates.

MongoDB’s base salary range for this role in the U.S. is:

$126,000—$248,000 USD

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