Software Engineer, Diagnostics

MongoDB is seeking highly technical candidates for a role on the Server Triage and Release team as a Diagnostics Engineer. Server Triage and Release is a support and diagnostics focused group within the engineering organization.

In this role, you’ll have the opportunity to investigate some of the most challenging defects, collaborating with software engineers across the organization as well as senior technical services engineers. In addition, you’ll continually improve our diagnostic processes by contributing to applications and tools that support this mission.

An ideal candidate has experience writing application code, can communicate complex technical concepts well, and has great diagnostic intuition as it applies to complex distributed architectures.

This role can be based out of our San Francisco office or remotely in the western United States.

Please note: Candidates must be a US Person (i.e. U.S. citizen, U.S. national, lawful permanent resident, asylee, or refugee) to fulfill all work responsibilities.

What you’ll do

• Work with the Engineering and Technical Services teams to debug and reproduce bug reports from MongoDB users and escalate problems as needed

• Maintain a user-oriented perspective, advise on possible solutions and help MongoDB users understand complex technical issues and options to mitigate or resolve

• Write code to expand our diagnostic toolset, including contributing to electron apps that were developed by our team to investigate diagnostic data

What you’ll need to succeed

• 3+ years of experience in software development, with a focus on data management systems

• Experience supporting production environments, and/or working directly with end-users to investigate and diagnose technical issues

• Excellent communication skills (both written and verbal) are critical as you will be working with users from all over the world with very diverse backgrounds, as well as with a highly technical engineering team

• Exposure and interest in thorny technical issues central to databases: distributed systems, consensus algorithms, data replication, query optimization, data storage, OS internals, concurrency and scheduling, networking, etc

• Ability to:

•

• Quickly grok and clearly synthesize implications of system behavior

• Contribute to fullstack projects, preferably in Python, Typescript, or Go

• Read and understand the intent of code and stack traces in many languages, especially C++

Success Measures

In 3 Months:

• You are comfortable handling tickets with identifiable diagnostic signatures

• You can identify user reported tickets that don’t describe bugs

• You have made contributions to our diagnostic tools

In 6 Months:

• You are identifying issue patterns and escalating when appropriate

• You can take any issue and work it to completion, either by working it yourself or knowing who and when to pull in additional help

• You have made significant contributions to our diagnostic tools

In 12 Months:

• You are running a project to improve our diagnostic tools

• You can answer some escalations from our experienced Technical Services Team

• You have a deep understanding in one or more Server components

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 database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform—the most widely available, globally distributed database 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 database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and nearly 60,000 customers—including 75% of the Fortune 100 and AI-native startups—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: 4263293421

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:
$101,000—$198,000 USD