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 and run applications anywhere—on premises, or across cloud providers. Online Archive seeks a Software Engineer 3 to join the team. You will be responsible for designing, building and testing high-impact projects and enhancing the scalability, performance, 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. If you are passionate about data management, distributed systems, and are excited to work on high-impact, high-growth projects, we would love to hear from you. Role Responsibilities Approach problems from a customer-focused perspective and use data to propose high ROI improvements to our product and operations. Collaborate with colleagues and other teams in Atlas to scope, spec and deliver new features. Define your top priorities and focuses, communicate them, and execute against them. Candidate Profile 3+ 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. Proficient in a modern compiled programming language (Go, Java, C#, C++, etc.). Experience implementing and operating distributed storage systems with high availability and durability guarantees. Enjoys working with others towards a common goal. You're a self-starter! You're comfortable organizing your own time and propose changes backed by data. Is curious, collaborative, empathetic, coachable and intellectually honest. Great diagnostics skills, considering edge cases in designs with a bias for simplicity. Has a passion for problem solving and learning new things in the domains of computer science and software engineering. Nice to haves Experience building and testing full-stack systems (using React or similar frameworks). 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 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. 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. #J-18808-Ljbffr MongoDB

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