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
MongoDB is building a world-class team in North America to create tooling that helps customers modernize their applications and migrate their data from legacy relational databases to MongoDB in real-time. As companies modernize legacy workloads and data ecosystems, they are increasingly drawn to the flexibility and scalability of the document model. The tools developed by the Code Generation and Data Migration team are critical in this journey, helping customers with schema modeling, code generation, initial data loads, and continuous data synchronization.
We're looking for a Software Engineer with a strong background in computer science fundamentals, systems design, experience in the Java ecosystem, streaming systems, and data-intensive applications to join our engineering team. In this role, you will be instrumental in designing, building, and optimizing the underlying data structures, algorithms, and database interactions that power our generative AI platform, code generation and migration tools. This involves crafting sophisticated orchestration layers, robust integration points, and high-performance data systems that seamlessly connect and leverage advanced AI capabilities for code generation and building a sophisticated data migration suite using a modern technology stack, which includes Java, Spring Boot, Kafka, Debezium, and React. You will work on critical components that ensure the scalability, efficiency, and reliability of our services, collaborating closely with AI researchers, product management, and other engineers to design and implement cutting-edge products that solve complex customer challenges.
This role will be based out of Washington, Oregon, or California.
BASIC QUALIFICATIONS
- 2+ years of engineering experience in backend systems, distributed systems, or core platform development
- Experience in one or several of Java, Rust, C/C++, and/or Python, with a strong understanding of systems-level programming, memory management, and performance tuning
- Experience with streaming data platforms such as Apache Kafka and Change Data Capture (CDC) tools like Debezium
- Experience with relational data modeling and hands-on experience with at least one SQL database (Postgres, MySQL, etc)
- Exposure to client-side technologies such as JavaScript and React is a plus
- Good understanding of algorithms, data structures and their time and space complexity
- Curiosity, a positive attitude, and a drive to continue learning
- Excellent verbal and written communication skills
PREFERRED QUALIFICATIONS
- Familiarity with cloud-native distributed systems (e.g., Kubernetes)
- Experience with NoSQL databases and understanding of their trade-offs is great, but not required. We'll teach you NoSQL
- Contributions to relevant open-source projects
POSITION EXPECTATIONS
- Contribute high-quality, well-tested backend code to the data migration engine and core components of our generative AI orchestration platform
- Collaborate effectively with Product Management, AI researchers, and machine learning engineers and designers to build and deliver on the product roadmap
- Work to develop robust and efficient backend services that orchestrate AI functionalities
- Identify and address performance bottlenecks and architectural challenges in our systems, particularly within data flow and orchestration
- Participate actively in code reviews to enforce best practices and patterns
- Help troubleshoot and resolve complex technical issues in our distributed systems
- Give and solicit feedback on technical design documents and pull requests
- Perform tasks related to process such as CI/CD, quality, testing, etc
SUCCESS MEASURES
Within the first three months, you will have:
- Familiarized yourself with the MongoDB database and aggregation language
- Familiarized yourself with the backend tech stack including Java, Spring Boot, and Kafka
- Set up software development infrastructure (tech stack, build tools, etc) to enable development using the relevant tech stacks
- Started collaborating with your peers and contributed to code reviews.
Within six months, you will have:
- Familiarized yourself with the rest of our application modernization tool stack
- Delivered at least one large scale feature that spans the entire tech stack
- Reviewed and contributed to scope and technical design documents
Within 12 months, you will have:
- Become a key contributor to our backend stack, capable of taking on complex features independently
- Helped recruit and interview new members of the team
- Collaborated effectively with other teams at MongoDB on cross-functional 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 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: 4263333160
INTRODUCTION
MongoDB is building a world-class team in North America to create tooling that helps customers modernize their applications and migrate their data from legacy relational databases to MongoDB in real-time. As companies modernize legacy workloads and data ecosystems, they are increasingly drawn to the flexibility and scalability of the document model. The tools developed by the Code Generation and Data Migration team are critical in this journey, helping customers with schema modeling, code generation, initial data loads, and continuous data synchronization.
We're looking for a Software Engineer with a strong background in computer science fundamentals, systems design, experience in the Java ecosystem, streaming systems, and data-intensive applications to join our engineering team. In this role, you will be instrumental in designing, building, and optimizing the underlying data structures, algorithms, and database interactions that power our generative AI platform, code generation and migration tools. This involves crafting sophisticated orchestration layers, robust integration points, and high-performance data systems that seamlessly connect and leverage advanced AI capabilities for code generation and building a sophisticated data migration suite using a modern technology stack, which includes Java, Spring Boot, Kafka, Debezium, and React. You will work on critical components that ensure the scalability, efficiency, and reliability of our services, collaborating closely with AI researchers, product management, and other engineers to design and implement cutting-edge products that solve complex customer challenges.
This role will be based out of Washington, Oregon, or California.
BASIC QUALIFICATIONS
- 2+ years of engineering experience in backend systems, distributed systems, or core platform development
- Experience in one or several of Java, Rust, C/C++, and/or Python, with a strong understanding of systems-level programming, memory management, and performance tuning
- Experience with streaming data platforms such as Apache Kafka and Change Data Capture (CDC) tools like Debezium
- Experience with relational data modeling and hands-on experience with at least one SQL database (Postgres, MySQL, etc)
- Exposure to client-side technologies such as JavaScript and React is a plus
- Good understanding of algorithms, data structures and their time and space complexity
- Curiosity, a positive attitude, and a drive to continue learning
- Excellent verbal and written communication skills
PREFERRED QUALIFICATIONS
- Familiarity with cloud-native distributed systems (e.g., Kubernetes)
- Experience with NoSQL databases and understanding of their trade-offs is great, but not required. We'll teach you NoSQL
- Contributions to relevant open-source projects
POSITION EXPECTATIONS
- Contribute high-quality, well-tested backend code to the data migration engine and core components of our generative AI orchestration platform
- Collaborate effectively with Product Management, AI researchers, and machine learning engineers and designers to build and deliver on the product roadmap
- Work to develop robust and efficient backend services that orchestrate AI functionalities
- Identify and address performance bottlenecks and architectural challenges in our systems, particularly within data flow and orchestration
- Participate actively in code reviews to enforce best practices and patterns
- Help troubleshoot and resolve complex technical issues in our distributed systems
- Give and solicit feedback on technical design documents and pull requests
- Perform tasks related to process such as CI/CD, quality, testing, etc
SUCCESS MEASURES
Within the first three months, you will have:
- Familiarized yourself with the MongoDB database and aggregation language
- Familiarized yourself with the backend tech stack including Java, Spring Boot, and Kafka
- Set up software development infrastructure (tech stack, build tools, etc) to enable development using the relevant tech stacks
- Started collaborating with your peers and contributed to code reviews.
Within six months, you will have:
- Familiarized yourself with the rest of our application modernization tool stack
- Delivered at least one large scale feature that spans the entire tech stack
- Reviewed and contributed to scope and technical design documents
Within 12 months, you will have:
- Become a key contributor to our backend stack, capable of taking on complex features independently
- Helped recruit and interview new members of the team
- Collaborated effectively with other teams at MongoDB on cross-functional 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 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: 4263333160
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.