招聘
必备技能
Java
AWS
Go
MongoDB
GCP
Azure
MongoDB is seeking a Software Engineer to join the Atlas Clusters Fleet Rollout Management team, entrusted with overseeing all software deployments to the Atlas Data Plane. Our core mission is to establish platform stability by owning the complete software lifecycle: encompassing pre-release validation, robust rollout mechanisms, customer configurability and observability, and proactive monitoring systems designed to swiftly detect and mitigate potential issues.
The Atlas Clusters organization is responsible for the core data plane services that power MongoDB Atlas, the leading multi-cloud database-as-a-service. As a Software Engineer on the team, you will be instrumental in building the next generation of cloud-agnostic, distributed systems that manage the lifecycle of our database clusters, ensuring high availability, performance, and security for millions of users worldwide.
We are looking to speak to candidates who are based in New York and would like a hybrid or in-office working model.
What you’ll do
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Build and design new features for MongoDB Atlas
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Contribute to and lead complex technical projects
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Work with stakeholders throughout MongoDB to build our roadmap and product offerings
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Work with customers and support engineers to fix issues and become part of our on-call rotation
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Collaborate with team members to develop our codebase, best practices, and design principles
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Foster an inclusive and respectful work environment according to Mongo
DB's Core Values:
We’re looking for someone who
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Has at least 5 years of professional software development experience
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Is skilled at writing large-scale, distributed backend systems in a compiled language (Go, Java, C#, etc.).
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Has experience with at least one major cloud provider technology (AWS, Azure, GCP)
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Has led the launch of a new critical feature and maintained it in production
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Is eager to solve tough problems
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Has some experience rolling out features to a large product with existing customers
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Has excellent communication skills
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Is curious, collaborative, and motivated
Success Measures
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In 3 months, you'll have shipped code into production and collaborated with the team to solve tough problems
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In 6 months, you'll have contributed to a large project
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In 12 months, you'll have designed new features, led development work, and become a go-to expert on parts of the system
About MongoDB
MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform, the most widely available, globally distributed database on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.
With offices worldwide and over 60,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software.
Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB.
To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!
MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.
MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
Req. ID: 1273394194
MongoDB’s base salary range for this role is posted below. Compensation at the time of offer is unique to each candidate and based on a variety of factors such as skill set, experience, qualifications, and work location. Salary is one part of MongoDB’s total compensation and benefits package. Other benefits for eligible employees may include: equity, participation in the employee stock purchase program, flexible paid time off, 20 weeks fully-paid gender-neutral parental leave, fertility and adoption assistance, 401(k) plan, mental health counseling, access to transgender-inclusive health insurance coverage, and health benefits offerings. Please note, the base salary range listed below and the benefits in this paragraph are only applicable to U.S.-based candidates.
MongoDB’s base salary range for this role in the U.S. is:$126,000—$248,000 USD
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关于MongoDB

MongoDB
PublicMongoDB, Inc. is an American software company that develops and provides commercial support for the source-available database engine MongoDB, a database for unstructured data.
5,000+
员工数
New York
总部位置
$24.0B
企业估值
评价
2.6
10条评价
工作生活平衡
3.2
薪酬
3.8
企业文化
2.8
职业发展
2.9
管理层
2.4
35%
推荐给朋友
优点
Great team environment and culture
Supportive management and mentorship
Good compensation and benefits
缺点
Poor leadership and decision-making
Declining sales culture and difficult quotas
Limited advancement opportunities
薪资范围
30个数据点
Mid/L4
Senior/L5
Mid/L4 · Manager Marketing Analytics and Operations
1份报告
$114,266
年薪总额
基本工资
$99,362
股票
-
奖金
-
$114,266
$114,266
面试经验
8次面试
难度
3.1
/ 5
时长
14-28周
体验
正面 0%
中性 88%
负面 12%
面试流程
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Onsite/Virtual Interviews
5
Final Round
常见问题
Coding/Algorithm
Technical Knowledge
Behavioral/STAR
System Design
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