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    Staff Software Engineer - Seattle, United States - MongoDB

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    Description

    The worldwide data management software market is massive (According to IDC, the worldwide database software market, which it refers to as the database management systems software market, was forecasted to be approximately $82 billion in 2023 growing to approximately $137 billion in 2027. This represents a 14% compound annual growth rate). At MongoDB we are transforming industries and empowering developers to build amazing apps that people use every day. We are the leading developer data platform and the first database provider to IPO in over 20 years. Join our team and be at the forefront of innovation and creativity.

    MongoDB Atlas is our database as a service offering and fastest growing product, allowing users to deploy fault-tolerant, secure, distributed MongoDB clusters in just minutes. Since becoming generally available in June 2022, Atlas Serverless has further simplified MongoDB deployment with minimal configuration, elastic scaling, and consumption-based pricing.

    The Atlas Serverless team is responsible for the core components of Atlas Serverless including load balancing, auto-scaling, multi-tenancy, consumption-based billing, security and performance. We are looking for a staff engineer to join the team.

    We are open to both remote and in-person candidates.

    Role Responsibilities

    • Develop MongoDB Atlas Serverless features using Java and JavaScript/TypeScript, such as autoscaling, multi-tenancy, networking, security and monitoring
    • Build and maintain the Atlas Serverless infrastructure across AWS, Azure, and Google Cloud
    • Work across the organization to define the vision and road map for the long term architecture of MongoDB's existing and future cloud based products
    • Align complex dependencies between interdependent teams / tech stacks
    • Lead and contribute to complex technical projects and initiatives that span multiple engineering teams
    • Collaborate with product and design teams to incorporate user perspectives
    • Diagnose and fix production issues alongside customers and support engineers
    • Work with team members to improve our codebase, best practices, and design principles
    • Mentor other team members

    Candidate Profile


    We're looking for someone who:

    • Is proficient in a modern compiled programming language (Java, C++, C#, Go, etc.)
    • Has domain expertise with building massively scalable distributed systems, particularly with high level networking, proxies, load balancing, and end-to-end encryption
    • Has built large scale infrastructure, especially within a context of a SaaS/PaaS system, on at least one of the major public cloud providers like AWS, Azure, and Google Cloud (or comparable equivalence)
    • Has experience in building industrial-strength software projects with a large code base spanning across a large organization with complex dependencies
    • Has experience in programming, debugging, and performance tuning distributed and/or highly concurrent software systems
    • Has excellent verbal and written technical communication skills
    • Is enthusiastic about mentoring junior engineers, aiding in their growth and development
    • Is curious, collaborative, and intellectually honest. You are not afraid to admit you don't know something or to ask for help
    • Has a passion for problem solving and learning new things in the domains of computer science and software engineering

    Success Measures

    • In 3 months, you'll have shipped code into production and collaborated with the team to solve challenging problems
    • In 6 months, you'll be responsible for reviewing code and have contributed to a large project that involves multiple MongoDB engineering teams
    • In 12 months, you'll have pushed forward a major engineering initiative and built consensus and driven best practices around your domains of expertise across the organization

    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: $137,000—$260,000 USD

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