MongoDB Logo

MongoDB

Senior Software Engineer

Posted An Hour Ago
Be an Early Applicant
Easy Apply
Hybrid
New York City, NY
95K-187K Annually
Senior level
Easy Apply
Hybrid
New York City, NY
95K-187K Annually
Senior level
Design, build, and evolve the C++ stream processing execution engine powering MongoDB Atlas Stream Processing. Develop core components, shape architecture and engineering practices, optimize performance, maintain distributed and concurrent systems, mentor engineers, and own complex projects from problem identification through delivery.
The summary above was generated by AI

Atlas Stream Processing enables developers to continuously process streaming data alongside critical application data stored in their database. It builds on MongoDB’s integrated developer data platform, so developers can stand up a stream processor and database with just a few API calls and lines of code, all fully managed. Our product is quickly gaining traction, and we are adding core features that you will contribute to and own.

The team owns the C++ stream processing engine that powers Atlas Stream Processing, built on top of MongoDB's Aggregation Framework. The team operates like a startup within the company, a small group with real autonomy, responsible for everything from the core execution engine and stream processing stages. We’re looking for a Senior Software Engineer to design, build, and evolve this execution engine.

Position Expectations
  • Design, build, and deliver core components of the system in collaboration with other stakeholders
  • Help shape architecture, development practices, and escalation policies as the teams and the product grow
  • Mentor fellow engineers and assume ownership and accountability of projects
Qualifications
  • Strong background in database internals or building core components for data processing systems (including query execution, storage engines, autotuning, and workload optimization)
  • 5+ years of experience in building database services, distributed systems, and/or foundational cloud services at scale
  • Proven success in designing, writing, testing, debugging, performance tuning, possessing a strong grip on the foundational material of computer science, and maintaining distributed and/or highly concurrent software systems in large, long-lived code bases
  • Good verbal and written technical communication skills, desire to collaborate with colleagues, mentor fellow engineers, and assume project ownership and accountability
  • Track record of identifying problems, implementing solutions, and delivering complex projects in distributed systems or databases
  • Strong sense of ownership, accountability, and pride
Nice to have
  • Hands‑on modern C++ experience in performance‑sensitive systems
  • Background with stream processing or query engines. Exposure to systems such as Flink, Spark, Beam, Kafka Streams, or database query engines
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: 3273534596

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:
$95,000$187,000 USD

MongoDB Palo Alto, California, USA Office

499 Hamilton Avenue, Palo Alto, CA, United States, CA 94301

MongoDB San Francisco, California, USA Office

88 Kearny Street, San Francisco, CA, United States, 94108

Similar Jobs at MongoDB

5 Hours Ago
Easy Apply
Remote or Hybrid
United States
Easy Apply
126K-248K Annually
Senior level
126K-248K Annually
Senior level
Big Data • Cloud • Software • Database
Build and optimize MongoDB’s SQL interface, including query engines, SQL-to-MQL translation, database connectors, and BI integrations. Develop backend systems that improve performance, scalability, reliability, and usability for large datasets and complex queries. Collaborate with product managers and customer experience teams, contribute to roadmap initiatives, resolve bugs, and lead major technical projects.
Top Skills: GoJavaJdbcMongoDBOdbcPower BIRustSQLTableau
10 Days Ago
Easy Apply
Hybrid
Easy Apply
126K-248K Annually
Senior level
126K-248K Annually
Senior level
Big Data • Cloud • Software • Database
Design, architect, build, and deliver identity and access management services for MongoDB Atlas. Lead complex projects from specification through delivery, improve engineering practices and code quality, define priorities, and mentor team members. The role focuses on authentication and authorization systems, including OAuth, SSO, federated identity, RBAC, ABAC, and user login and registration experiences.
Top Skills: AbacAWSC#C++GoGCPJavaJavaScriptAzureMongodb AtlasOauthRbacReactRebacReduxSsoTypescript
22 Days Ago
Easy Apply
Hybrid
Easy Apply
126K-248K Annually
Senior level
126K-248K Annually
Senior level
Big Data • Cloud • Software • Database
Build and maintain developer-facing tools and APIs for MongoDB Atlas and Compass. Work full-stack on customer-facing UIs and backend services, design scalable, highly available web applications, collaborate cross-functionally, troubleshoot distributed systems, and improve performance and developer experience.
Top Skills: KubernetesMicroservicesMongoDBMongodb AtlasMongodb CompassNode.jsReactTypescriptWebsocket

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account