Staff Engineer, MongoDB
Data Federation and Online Archive
$137-270k
Developer data platform
Job no longer available
Developer data platform
1001+ employees
Job no longer available
$137-270k
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
- This is a high-impact role for engineers passionate about large-scale data storage, distributed query processing, and system resilience
- 10+ years experience in software engineering, with a focus on backend and distributed storage systems
- Expertise in large-scale storage systems, such as distributed databases, cloud object storage (S3, Azure Blob, GCS), or data lake technologies (Iceberg, Delta Lake, Hudi, etc.)
- Strong background in designing and optimizing storage layers, indexing, and data lifecycle management
- Experience optimizing query engines for high-volume, low-latency federated data access
- Track record of improving system reliability, observability, and cost-efficiency
- Experience with Kubernetes-based deployment of distributed storage or query systems
- Proficiency in Go or Java (preferred, but not required)
- Deep understanding of query optimizers, storage formats (Parquet, ORC), and indexing strategies
- Experience with disaggregated storage and cloud-native data lake solutions
- Proven ability to lead technical initiatives as an individual contributor while mentoring senior engineers and driving technical excellence within a team
What the job involves
- As a Staff Engineer on the Atlas Data Federation and Archiving team, you will lead the design, optimization, and scalability of our storage and federated query systems. This role focuses on high-performance distributed storage, data lifecycle management, and efficient data retrieval at scale
- You will work on storage optimization, query execution, and cost-effective data retention strategies—ensuring reliability, performance, and efficiency for thousands of MongoDB Atlas customers who depend on our solutions for critical business operations
- Architect and optimize large-scale storage solutions for federated data access, ensuring efficient retrieval, indexing, and query performance
- Optimize data archival pipelines for high-throughput ingestion, durability, and cost-efficiency
- Improve data tiering and lifecycle policies for moving and querying data efficiently across hot, warm, and cold storage tiers
- Reduce operational costs through intelligent storage layout, compaction strategies, and query execution optimizations
- Improve and scale our distributed query execution engine, optimizing it for multi-source federated queries and data lake processing
- Enhance query performance across object storage (e.g., S3, GCS, Azure Blob) by optimizing indexing, partitioning, and compaction techniques
- Implement workload-aware autoscaling for query execution and data processing
- Reduce incident rates by improving system resilience, failover mechanisms, and observability
- Guide architectural decisions and lead design reviews across engineering teams
- Mentor engineers in distributed systems, data storage optimization, and operational excellence
- Partner with Product Management to define the technical roadmap for storage and data federation solutions
- Participate in on-call rotation, providing senior oversight for incident response and postmortem retrospectives
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 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 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 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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