Senior Software Engineer, Query Optimization

🔥 13 hours ago

🌐 United States, Canada – Remote

🇺🇸 United States – Remote 🇨🇦 Canada – Remote

🗽 New York, Texas – Remote

🗽 New York – Remote 🤠 Texas – Remote

💵 $101k - $273k / year

⏰ Full Time

🟠 Senior

🧑‍💻 Full-stack Engineer

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MongoDB

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2007

💼 Consulting

🏥 Healthcare

📦 Logistics

Consulting • Healthcare • Logistics

MongoDB is a leading developer data platform provider known for its powerful and flexible document database. MongoDB 8. 0, the latest version, boasts 36% higher throughput and enhanced security features, making it the fastest iteration yet. It offers a comprehensive suite of tools and services including MongoDB Atlas, a fully managed cloud database, and Community Edition for local development. MongoDB is popular among developers and enterprises for its ability to support a range of use cases from artificial intelligence to gaming and healthcare. It simplifies the development of modern applications with its versatile platform, allowing integration with various technologies to drive innovation. MongoDB's community and extensive documentation further support developers globally.

📋 Description

• Innovate in flexible schema databases and build a world-class query optimization system • Research state-of-the-art query systems to inform design • Provide technical vision and direction based on product strengths, weaknesses, and industry trends • Set initiative-level strategy, architect plans, and lead the team toward successful execution • Advise and partner with management on roadmap decisions, processes, and architectural designs • Identify, design, implement, test, and support features related to query performance, robustness, query language enhancements, diagnostics, and integrations • Coordinate seamless changes with engineers across a feature-rich, large code base • Collaborate with client drivers, cloud services, enterprise tools, support, consulting, education, and marketing teams • Mentor, coach, and lead team members by example • Contribute to major-version projects and fix bugs in stable releases • Participate in code reviews and draft and review designs for new features • Present query-system papers or system architectures • Contribute to the long-term technical roadmap of the MongoDB Query team

🎯 Requirements

• 5+ years of experience in data management systems, distributed systems, or large-scale backend engineering • Experience building production-level code with a large user base, robust design structure, and rigorous code quality • Degree in Computer Science or a similar field, or equivalent practical experience • Strong competencies in data structures, algorithms, and software design/architecture • Experience with large code bases written in C++ or another systems programming language • Ability to trace defects, estimate work complexity, and design evolution and integration strategies • Strong foundation in core database internals • Direct experience in query optimization is a bonus, not a prerequisite • Background in compilers, language transpilers, or distributed storage systems is welcomed

🏖️ Benefits

• 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 • Health benefits offerings • Employee affinity groups • Supportive and enriching culture • Necessary accommodations for individuals with disabilities during the application and interview process

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