Senior Software Engineer, MongoDB
SQL Engines
$126-248k
Modern data platform
Be an early applicant
Modern data platform
1001+ employees
Be an early applicant
$126-248k
1001+ employees
Company mission
To empower innovators to create, transform, and disrupt industries by unleashing the power of software and data.
Role
Who you are
- 5+ years of professional experience in software engineering, with a strong emphasis on backend systems and database technologies
- Proficiency in at least one compiled language, and interest in working with Rust, Java and Go
- Solid computer science fundamentals, with strong competencies in data structures, algorithms, and software design/architecture
- Interest in the theory and practice of database query engines. Professional experience or M.Sc./Ph.D in the domain is preferred
- Familiarity with SQL query execution, optimization, and relational database systems
- Familiarity with MongoDB or other non-relational databases is a plus but not mandatory
- Proven ability to break down complex problems into manageable pieces and deliver solutions
- Strong verbal and written communication skills with the ability to collaborate across teams, advocate for technical improvements, and articulate ideas clearly
- A keen interest in empowering users to interact with and analyze data
- A drive to deliver tools that enable seamless integration between MongoDB and SQL-based workflows
What the job involves
- The SQL Engines team is working to make MongoDB the first choice of application developers, business analysts and data scientists everywhere by providing a seamless experience for using SQL and BI Tools to natively access data in MongoDB
- Our team is responsible for a broad portfolio of analytics products, including JDBC and ODBC drivers, Tableau and PowerBI native connectors and a SQL-to-MQL translation engine
- We’re seeking an experienced and passionate Senior Engineer to join our team and help us build the future of the MongoDB SQL Interface — bridging MongoDB's powerful document data model with SQL-based tools and interfaces
- This is an opportunity to make a significant impact by enabling our users to query, analyze, and visualize MongoDB data using the world's most widely understood query language: SQL
- If you like working on query languages and database systems, and want to help build products that expose the power of MongoDB’s document database to developers and analysts, this team is the place for you!
- Innovate at the intersection of traditional relational databases and modern flexible-schema databases to design, build, and optimize tools to enhance the SQL experience with MongoDB
- Collaborate with product managers and customer experience teams to evaluate user needs and build features that provide an intuitive and delightful experience to customers
- Monitor and improve performance, scalability, and reliability of the SQL interface to ensure smooth experiences for users working with large datasets and complex queries
- Stay updated on emerging trends in the database and cloud industry, bringing innovative ideas to the team
- Advocate for technical excellence while helping the team balance trade-offs between feature delivery and system quality
- In three months you’ll be familiar with our codebase and tools, have contributed to the development of a new feature, as well as fixed a few bugs in our existing products
- In six months, you'll be contributing to our ongoing projects and are involved in implementation of a major new feature
- In twelve months, you’ll be hitting your stride contributing to our roadmap and leading the team's key projects
Our take
MongoDB is an open-source, cross-platform, document-oriented database system. It stores data as JSON-like documents and is written in C++, Go, JavaScript and Python.
Essentially, the company develops tools and blueprints to help businesses and organizations modernize their legacy applications, migrating them to the MongoDB database and the MongoDB Atlas cloud database. With this initiative, MongoDB is particularly taking aim at Oracle customers with ageing applications running on the Oracle relational database system.
Since its release, MongoDB has become one of the most popularly used NoSQL database systems due to its ease of use and efficiency. It is also the fastest-growing database ecosystem, and boasts hundreds of millions of downloads. Recently, the company announced a partnership with Patronus AI, an automated evaluation and security platform, through which it will bring automated LLM evaluation and testing capabilities to enterprise customers.
Freddie
Company Specialist at Welcome to the Jungle
Insights
13% employee growth in 12 months
Company
Funding (last 2 of 8 rounds)
Jan 2015
$80m
SERIES G
Oct 2013
$150m
SERIES F
Total funding: $311.1m
Company HQ
Theater District, New York, NY
Leadership
Dwight Merriman
(Co-Founder)Previously CTO and Co-founder at DoubleClick for 10 years, and Chairman at AlleyCorp for 15 years.
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