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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. With offices worldwide and over 175,000 new developers signing up to use 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 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.
This role can be based out of one of our US Office or remotely.
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
- Design, architect, build, and deliver core pieces of Atlas Online Archive, primarily coding in Java, Go & Javascript (React)
- 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
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.
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
