Senior Software Engineer, MongoDB
Atlas API Experience
+ Equity
Modern data platform
Be an early applicant
Modern data platform
1001+ employees
Be an early applicant
+ Equity
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 don't expect you to tick every box. If you bring deep experience across most of the below and are excited to grow into the rest, we encourage you to apply
- We are looking for passionate, intrinsically-motivated software engineers who lead by example, raise the bar for those around them, and want to make a broad impact
- No prior experience with MongoDB technologies is required!
- A track record of independently delivering complex projects and leading the technical decisions that shape them
- Inspired by building systems that manage infrastructure at scale
- Approachable, curious, and intellectually honest
- Collaborate and communicate effectively across multiple teams, locally & remote across timezones, internally and externally as required, to drive projects to completion
- Enjoys an environment where you can coordinate your own time, prioritizing, and acting on multiple tasks concurrently without manager oversight
- Proficient in at least one of Java, Go, Python, or Javascript/Typescript, and able to pick up others as needed
- Experience building developer tooling, APIs, and/or Infrastructure as Code (IaC) integrations
- Working knowledge of at least one major cloud infrastructure platform (Amazon AWS, Google Cloud Platform, Microsoft Azure, etc.)
What the job involves
- As part of our team in APIx, you will be responsible for improving & extending our API platform & downstream tooling, such as the Atlas CLI. Our mission is to help Atlas customers automate their workloads easily through APIs & support internal teams contributing to the API
- Propose, design, implement and support product features for the MongoDB Atlas API Platform & MongoDB Atlas DevTools, such as AtlasCLI
- Build tooling that enables MongoDB users and developers to succeed, using programming languages such as Java, Go, Python & Javascript/Typescript
- Design and develop software integration components utilizing MongoDB’s technology (i.e. database, mobile, search, etc.) in larger contexts and integrate into partner frameworks or solutions
- Mentor and provide technical guidance to other engineers through code and design reviews, pairing, and knowledge sharing
- Lead sophisticated projects end to end, breaking large efforts into incrementally shippable deliverables
- Investigate and resolve and solving problems experienced by our customers, including complex and cross-team escalations. Our team has a Level 2 support rotation
- Apply our core values to your planning, designing, and coding work
- How will you measure success?
- In three months, you'll have become familiar with our developer tools and the existing features most relevant to integrations
- In six months, you will be independently leading projects and delivering complex features.. You will share knowledge with the team, collaborating where needed to achieve our team goals
- In nine months, you will be fully embedded in the team. As well as leading your projects, you will be contributing ideas to the team roadmap, improving how we work. You will be mentoring other team members, helping them learn from your experience
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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