Senior Software Engineer, MongoDB
Workload Scheduling
Developer data platform
Job no longer available
Developer data platform
1001+ employees
Job no longer available
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
- We are a new and small team looking for an experienced engineer to join us
- We are looking for someone who is excited about building something from the ground up, and a role with lots of opportunities to make a large impact on the operational resiliency story at MongoDB
- Minimum 5 years of experience in programming, debugging, and performance tuning distributed and/or highly concurrent low-level software systems. Experience in C++ is preferable, but not required
- Strong systems fundamentals, including multi-threaded programming and performance profiling
- Excellent verbal and written technical communication skills and a desire to collaborate with colleagues and mentor junior engineers and interns
- Passion for learning new things in the domains of software engineering, distributed systems, and performance
- Familiarity with distributed system concepts such as fault tolerance, consistency, and availability
- Experience with writing software to observe and mitigate overload scenarios for highly performant and concurrent systems
What the job involves
- The Workload Scheduling team is focused on optimizing the operational resiliency of a MongoDB cluster
- We build out the core server workload management infrastructure so that MongoDB can properly queue, load shed, and make decisions to stabilize performance during situations where system resources are beginning to become constrained
- We are working to move workload management policies out of the core server into its own process for better modularity, and building out the infrastructure to observe, measure, and tune workload mechanisms and policies to improve MongoDB’s performance and stability while under load
- Write production-ready database code in C++, Rust, or possibly another low-level language
- Write unit tests and integration tests in C++, Javascript, and Python to demonstrate application correctness
- Investigate the performance characteristics of the server and write performance regression tests
- Build and optimize workload management primitives such as operation queueing/ticketing mechanisms
- Implement and continuously improve server workload policies to schedule, prioritize, and make decisions about incoming and in-progress operations to maximize goodput while under system load
- Build a process external to the core server that monitors and tunes policies of a MongoDB server
- Improve the workload and system observability/diagnostics of the core server
- Diagnose performance and correctness test failures, identify bugs and/or deficiencies in existing code, and fix them
- Interview candidates for software engineering positions
- Handle customer escalations
- Collaborate with stakeholders and engineering teams across the company to jointly work on large initiatives
- In the first month, you will have understood the high level architecture of MongoDB and fixed a few bugs
- In three months, you will have contributed to the development of a project slated for the next major release of MongoDB, and diagnosed and fixed a few customer or testing-reported issues
- In six months, you will have taken on code review responsibilities and are involved in reviewing the design for new features
- In twelve months, you will be leading the development of a new feature and helping to mentor new engineers on the team
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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