Job Description

MongoDB's mission is to empower innovators to create, transform, and disrupt industries by unleashing the power of software and data. We enable organizations of all sizes to easily build, scale, and run modern applications by helping them modernize legacy workloads, embrace innovation, and unleash AI. Our industry-leading developer data platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available in more than 115 regions across AWS, Google Cloud, and Microsoft Azure. Atlas allows customers to build anywhere-on the edge, on premises, or across cloud providers. With offices worldwide and over 175,000 developers joining MongoDB every month, it's no wonder that leading organizations, like Samsung and Toyota, trust MongoDB to build next-generation, AI-powered applications. The Atlas Online Archive service provides low-cost, tiered storage for querying infrequently-accessed, read-only data. By optimizing the storage layout for customer data during ingestion and rebalancing it as needed, Online Archive delivers great performance and scalability at reasonable cost for Atlas customers. We are currently managing petabytes of customer data and have a steep growth trajectory. Online Archive seeks a Senior engineer to join the team. You will be responsible for driving challenging, high-impact projects that improve and enhance the performance, scalability, durability, availability and reliability of Online Archive's distributed storage 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. Role Responsibilities Design, architect, build, and deliver core pieces of Atlas Online Archive with focus on Storage systems, primarily coding in Go Lead projects from specification to delivery while collaborating with query, cluster, and frontend teams Mentor and grow other 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 Oncall experience and having customer first approach when considering different approaches Experience designing Data Lake protocols (and similar e.g. Delta Lake, Hudi,...) Experience optimizing throughput in distributed storage systems Experience building distributed query engines Experience working with multiple cloud providers (AWS, GCP, 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 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. 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. 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: $118,000-$231,000 USD MongoDB

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