MongoDB
Software Engineer, Diagnostics San Francisco; United States
MongoDB, San Francisco, California, United States, 94199
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 elevate 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.
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 in the U.S. is:
#J-18808-Ljbffr
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 elevate 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.
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 in the U.S. is:
#J-18808-Ljbffr