Senior Data & AI Software Engineer, MongoDB
$118-231k
Developer data platform
Job no longer available
Developer data platform
1001+ employees
Job no longer available
$118-231k
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
- 1+ years building AI and RAG-based applications
- 3+ years building ML models
- 5+ years of Python experience
- Hive, Iceberg, Glue, or other technologies that expose big data as tables
- Familiarity with different big data file types such as Parquet, Avro, and JSON
- 1+ years of Spark experience (nice-to-have)
- 5+ years of building ETL pipelines for a Data Lake/Warehouse (nice-to-have)
What the job involves
- The Data Pipelines Engineering team is responsible for building ETL pipelines that populate the Internal Data Platform, which drives analytics that help the company run more efficiently
- Our team builds highly performant and scalable processes that extract massive datasets and makes those datasets available for querying in an optimal way
- We are also building a Generative AI framework that will help teams within the company tap into the data that we store in their Retrieval-Augmented Generation (RAG)-based applications
- Innovate strategies for building AI tools, including how to optimally chunk and retrieve RAG-based data and which LLMs are best suited to support use cases
- Stay abreast of industry trends in the AI space, and evaluate and incorporate new concepts/tools into MongoDB’s internal AI architecture
- Understand the dangers that come with chatbots, and build guardrails that prevent those dangers from occurring
- Build solutions that evaluate the content returned by AI tools using a variety of frameworks, and use the evaluation results to prevent hallucinations
- Work with Security and Compliance teams to ensure that datasets have appropriate permissions and regulations in place
- Work with our Data Platform, Architecture, and Governance sibling teams to make data scalable, consumable, and discoverable
- In 3 months, you'll have a thorough understanding of the architecture of MongoDB’s internal Data and AI ecosystem
- In 6 months, you'll have owned the delivery of a large project from start (scoping, design) to finish (delivery)
- In 12 months, you'll have designed new features, led development work, and become a go-to expert on parts of the system
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 organisations modernise 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
Insights
Company
Funding (last 2 of 8 rounds)
Jan 2015
$80m
SERIES G
Oct 2013
$150m
SERIES F
Total funding: $311.1m
Company benefits
- Rich health insurance coverage
- Virtual & on-site fitness classes
- Health screenings & telemedicine
- Access to transgender-inclusive health insurance coverage
- Global and internal mobility opportunities
- Equity & Employee Stock Purchase Program
- Pension & retirement programs
- Income Protection
- Flexible PTO is offered to every US employee & competitive time off policies for non-US employees
- Employee Assistance Program
- Mental health counseling
- Free meditation app access
- Fertility & adoption financial assistance
- Parental counseling for new parents
- 20 weeks of fully paid gender neutral parental leave & flexible work arrangements
- 4 weeks of emergency care leave
Company values
- Think Big, Go Far
- Build Together
- Embrace the Power of Differences
- Be Intellectually Honest
- Own What You Do
- Make it Matter
Company HQ
Theater District, New York, NY
Articles
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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