The Atlas Data Federation and Archiving (ADFA) Customer Experience team supports the Atlas Data Federation system which empowers customers to create virtual databases that can query, transform, and analyze data across multiple sources (MongoDB clusters and cloud object storage) through a unified MongoDB query interface, without moving or copying the underlying data. The ADF system handles hundreds of millions of queries per month, processing exabytes of customer data.
About the RoleThis role is responsible for driving high-impact projects that improve and enhance the performance, automation, and customer experience of the Atlas Data Federation and Archiving distributed systems. We value intellectual curiosity and honesty, and building together in an environment that prioritizes collaboration over competition.
Our team is distributed across North America. The position is open to our "in office", "flexible", or fully remote working models with convenient work hours for each time-zone.
If you are passionate about data management, distributed systems, and leadership, and are excited to work on high-impact, high-growth projects, we would love to hear from you.
We are looking to speak to candidates who are based in New York City for our hybrid working model.
Role Responsibilities- Design, architect, build, and deliver core pieces of Atlas with focus on storage systems, query engine, and customer facing components with coding in Go, Java, and React
- Lead projects from specification to delivery while collaborating with other Atlas teams
- Mentor and grow other junior team members
- Improve our codebase, best practices, and design principles
- Define your top priorities and focuses, communicate them, and execute against them
Candidate Profile- 5+ years experience in software engineering, primarily focused on cloud-native backend systems
- B.Sc / M.Sc in Computer Science or similar field, or equivalent practical experience
- Track record of designing, building, implementing, and operating highly complex projects in distributed storage systems with high availability and durability guarantees
- Proficient in a modern compiled programming language (Go, Java, C#, C++, etc.)
- Excellent communication skills, both written and verbal
- Desire to collaborate with colleagues and mentor fellow engineers
- Is curious, collaborative, empathetic, and intellectually honest
- Has a passion for problem solving and learning new things in the domains of computer science and software engineering
Nice to haves- Experience with on-call and customer support troubleshooting and debugging
- Experience working with a query engine or database internal experience
- Experience troubleshooting resource management and performance issues in a distributed system
- Experience optimizing throughput in distributed storage systems
- Experience working with multiple cloud providers (AWS, Google Cloud Platform, Azure)
Success Measures- In 1 month, you'll learn about the system and ask quality questions, go through the inner & outer loop
- In 3 months, you'll have contributed to a large project
- In 6 months, you'll be leading the design and execution of your own project
About MongoDBMongoDB 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.
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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
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