Software Engineer Jobs at MongoDB with Visa Sponsorship
Software Engineer jobs at MongoDB span distributed systems, database internals, cloud infrastructure, and developer tooling. The company has a consistent track record of sponsoring work visas for engineering talent, supporting candidates through both initial status and long-term permanent residence pathways.
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Get Access To All JobsINTRODUCTION
The SQL Engines team is working to make MongoDB the first choice of application developers, business analysts and data scientists everywhere by providing a seamless experience for using SQL and BI Tools to natively access data in MongoDB. Our team is responsible for a broad portfolio of analytics products, including JDBC and ODBC drivers, Tableau and PowerBI native connectors and a SQL-to-MQL translation engine. We’re seeking an experienced and passionate Senior Engineer to join our team and help us build the future of the MongoDB SQL Interface — bridging MongoDB's powerful document data model with SQL-based tools and interfaces. This is an opportunity to make a significant impact by enabling our users to query, analyze, and visualize MongoDB data using the world's most widely understood query language: SQL. If you like working on query languages and database systems, and want to help build products that expose the power of MongoDB’s document database to developers and analysts, this team is the place for you!
ROLE AND RESPONSIBILITIES
This role can be based out of our Austin, New York City, Palo Alto, San Francisco office or remotely in the USA region. Successful candidates will have the following qualities:
Technical Expertise
- 5+ years of professional experience in software engineering, with a strong emphasis on backend systems and database technologies
- Proficiency in at least one compiled language, and interest in working with Rust, Java and Go
- Solid computer science fundamentals, with strong competencies in data structures, algorithms, and software design/architecture
- Interest in the theory and practice of database query engines. Professional experience or M.Sc./Ph.D in the domain is preferred
- Familiarity with SQL query execution, optimization, and relational database systems
- Familiarity with MongoDB or other non-relational databases is a plus but not mandatory
Problem-Solving & Collaboration
- Proven ability to break down complex problems into manageable pieces and deliver solutions
- Strong verbal and written communication skills with the ability to collaborate across teams, advocate for technical improvements, and articulate ideas clearly
Passion for Data
- A keen interest in empowering users to interact with and analyze data
- A drive to deliver tools that enable seamless integration between MongoDB and SQL-based workflows
Position Expectations
- Innovate at the intersection of traditional relational databases and modern flexible-schema databases to design, build, and optimize tools to enhance the SQL experience with MongoDB
- Collaborate with product managers and customer experience teams to evaluate user needs and build features that provide an intuitive and delightful experience to customers
- Monitor and improve performance, scalability, and reliability of the SQL interface to ensure smooth experiences for users working with large datasets and complex queries
- Stay updated on emerging trends in the database and cloud industry, bringing innovative ideas to the team
- Advocate for technical excellence while helping the team balance trade-offs between feature delivery and system quality
Success Measures
- In three months you’ll be familiar with our codebase and tools, have contributed to the development of a new feature, as well as fixed a few bugs in our existing products
- In six months, you'll be contributing to our ongoing projects and are involved in implementation of a major new feature
- In twelve months, you’ll be hitting your stride contributing to our roadmap and leading the team's key projects
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.
COMPENSATION
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
INTRODUCTION
The SQL Engines team is working to make MongoDB the first choice of application developers, business analysts and data scientists everywhere by providing a seamless experience for using SQL and BI Tools to natively access data in MongoDB. Our team is responsible for a broad portfolio of analytics products, including JDBC and ODBC drivers, Tableau and PowerBI native connectors and a SQL-to-MQL translation engine. We’re seeking an experienced and passionate Senior Engineer to join our team and help us build the future of the MongoDB SQL Interface — bridging MongoDB's powerful document data model with SQL-based tools and interfaces. This is an opportunity to make a significant impact by enabling our users to query, analyze, and visualize MongoDB data using the world's most widely understood query language: SQL. If you like working on query languages and database systems, and want to help build products that expose the power of MongoDB’s document database to developers and analysts, this team is the place for you!
ROLE AND RESPONSIBILITIES
This role can be based out of our Austin, New York City, Palo Alto, San Francisco office or remotely in the USA region. Successful candidates will have the following qualities:
Technical Expertise
- 5+ years of professional experience in software engineering, with a strong emphasis on backend systems and database technologies
- Proficiency in at least one compiled language, and interest in working with Rust, Java and Go
- Solid computer science fundamentals, with strong competencies in data structures, algorithms, and software design/architecture
- Interest in the theory and practice of database query engines. Professional experience or M.Sc./Ph.D in the domain is preferred
- Familiarity with SQL query execution, optimization, and relational database systems
- Familiarity with MongoDB or other non-relational databases is a plus but not mandatory
Problem-Solving & Collaboration
- Proven ability to break down complex problems into manageable pieces and deliver solutions
- Strong verbal and written communication skills with the ability to collaborate across teams, advocate for technical improvements, and articulate ideas clearly
Passion for Data
- A keen interest in empowering users to interact with and analyze data
- A drive to deliver tools that enable seamless integration between MongoDB and SQL-based workflows
Position Expectations
- Innovate at the intersection of traditional relational databases and modern flexible-schema databases to design, build, and optimize tools to enhance the SQL experience with MongoDB
- Collaborate with product managers and customer experience teams to evaluate user needs and build features that provide an intuitive and delightful experience to customers
- Monitor and improve performance, scalability, and reliability of the SQL interface to ensure smooth experiences for users working with large datasets and complex queries
- Stay updated on emerging trends in the database and cloud industry, bringing innovative ideas to the team
- Advocate for technical excellence while helping the team balance trade-offs between feature delivery and system quality
Success Measures
- In three months you’ll be familiar with our codebase and tools, have contributed to the development of a new feature, as well as fixed a few bugs in our existing products
- In six months, you'll be contributing to our ongoing projects and are involved in implementation of a major new feature
- In twelve months, you’ll be hitting your stride contributing to our roadmap and leading the team's key projects
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.
COMPENSATION
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
See all Software Engineer Jobs at MongoDB
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Software Engineer Jobs at MongoDB.
Get Access To All JobsTips for Finding Software Engineer Jobs at MongoDB
Align your stack with MongoDB's engineering priorities
MongoDB's engineering roles cluster around distributed systems, C++, Go, Python, and cloud-native infrastructure. Tailor your resume and portfolio to reflect depth in these areas before applying. Generic full-stack profiles get filtered early.
Verify your visa category before the offer stage
MongoDB sponsors H-1B, E-3, TN, F-1 OPT, and Green Card pathways. Knowing which category fits your citizenship and degree field before interviews lets you answer recruiter questions accurately and avoids surprises when HR initiates the sponsorship process.
Prepare your specialty occupation documentation early
USCIS requires that H-1B petitions demonstrate the role qualifies as a specialty occupation. Gather transcripts, degree equivalency evaluations if your credential is from outside the U.S., and any publications or technical certifications that reinforce your field-specific qualifications.
Time your OPT application around MongoDB's hiring cycle
MongoDB's engineering hiring ramps in Q1 and Q3. If you're on F-1 OPT, apply at least 90 days before your program end date through your DSO. A later start erodes the runway you need to convert to H-1B sponsorship.
Use Migrate Mate to target open Software Engineer roles at MongoDB
Filter MongoDB's active Software Engineer postings by visa type on Migrate Mate to identify which roles are open to sponsored candidates right now, so you're applying to positions with an active sponsorship mandate rather than guessing from the job description.
Clarify Green Card intent during the offer negotiation
MongoDB sponsors EB-2 and EB-3 Green Card petitions, but PERM labor certification timelines vary by role and location. Raise permanent residence pathways explicitly during offer discussions so both sides align on timeline expectations before you sign.
Frequently Asked Questions
Does MongoDB sponsor H-1B visas for Software Engineers?
Yes, MongoDB sponsors H-1B visas for Software Engineer roles. The company has a demonstrated history of filing H-1B petitions across its engineering function, covering both initial cap-subject petitions and transfers for candidates already holding H-1B status with another employer. If you're currently on H-1B, a transfer to MongoDB means you can start work as soon as USCIS receives the petition, without waiting for approval.
Which visa types does MongoDB commonly sponsor for Software Engineers?
MongoDB sponsors H-1B, E-3 visa (Australian citizens), TN visa (Canadian and Mexican nationals), F-1 OPT, F-1 CPT, and pursues EB-2 and EB-3 Green Card sponsorship for longer-tenured engineers. The right category depends on your citizenship, degree field, and career stage. E-3 visa and TN visa offer faster processing with no lottery, which makes them worth prioritizing if you're eligible.
How do I apply for Software Engineer jobs at MongoDB?
Applications go through MongoDB's careers portal, where engineering roles are listed by team and location. Migrate Mate filters MongoDB's open Software Engineer positions by visa type, so you can identify which specific roles are actively sponsoring before you apply. MongoDB's engineering interviews typically involve system design rounds and coding assessments in addition to role-specific technical questions, so prepare accordingly.
What qualifications does MongoDB expect for sponsored Software Engineer roles?
Most Software Engineer roles at MongoDB require a bachelor's degree or higher in computer science, software engineering, or a closely related field. USCIS defines H-1B specialty occupation in part by this degree requirement, so the match between your credential and the role's discipline matters. Beyond the degree, MongoDB's engineering teams typically look for depth in distributed systems, database internals, or cloud platform development depending on the specific team.
How do I think about sponsorship timing when targeting MongoDB?
If you need H-1B sponsorship and aren't already in H-1B status, the earliest you could start work is October 1 of the fiscal year following the April lottery. That means a hiring timeline of roughly 12 to 18 months from application to start date. Candidates on F-1 OPT or eligible for E-3 and TN can move faster. Raise your visa situation with the recruiter in the first call so MongoDB can plan the filing process alongside your offer.