Senior Software Engineer, MongoDB
Search Deployments Infrastructure
$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 experience in data management/search systems, ideally with a strong distributed systems and infrastructure background
- Experienced in the development and maintenance of concurrent, stateful services
- Eager to shape the technological direction of a complex system and have the ability to lead initiatives through collaboration with others
- Experienced in writing features, debugging and optimizing multithreaded applications written in Java
- Familiarity with LLM based development tools in all aspects of the software development lifecycle
- Bonus: experience with public cloud infrastructure, including aspects of hardware, capacity and high availability
What the job involves
- Atlas Search is a growing cloud service that allows users to execute complex search and vector search queries using the MongoDB Query Language. Our users can focus on relevance and data retrieval instead of the machinery needed to search data at scale
- Our team is building a cloud-based distributed system responsible for the core components of search including data ingestion, performance, query language, query execution, for both relevance-based search and vector search
- Our product is being adopted quickly and there are many interesting projects. This is a technical role where you will be responsible for the infrastructure and features enabling our at-scale cloud service powering vector and semantic search
- Lead complex projects across the MongoDB ecosystem, for instance, development of a new Search deployment framework within the MongoDB managed cloud
- Set project level strategy, architect features, and lead projects to successful execution
- Identify, design, and implement features enhancing our reliability, performance, security and efficiency
- Perform code reviews with peers and make recommendations on how to improve our software development processes
- Influence and grow team members through active mentoring and leading by example
- Success Measures:
- In 3 months, you'll contribute to the improvements in our management control plane
- In 6 months, you'll be working on projects such as autoscaling deployments and metrics based performance analysis
- In 12 months, you'll be building POCs, designing new features, and collaborating with other teams from across the company on complex 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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