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Senior Software Engineer, Customer Observability
필수 스킬
Java
TypeScript
React
Node.js
Go
MongoDB
Kafka
The MongoDB Customer Observability Team is a diverse group of contributors working together to help our users manage MongoDB at global scale. The team is responsible for MongoDB Atlas: our database-as-a-service offering and fastest-growing product, which allows users to deploy globally distributed MongoDB clusters in just minutes.
We're seeking a Senior Software Engineer to join our team to tackle exciting challenges within the Observability space.
You'll contribute to developing tools and platforms that help our users understand the health and performance of their MongoDB deployments. This includes collecting metrics, monitoring slow queries, and offering actionable insights such as index and schema suggestions that improve the speed, efficiency, and overall reliability of their databases.
This role provides a unique opportunity to drive engineering excellence across both dimensions of observability, leveraging technologies being developed within the Customer Observability group and contributing directly to the success of our customers and our product teams. If you're passionate about large-scale systems, digging deep into telemetry data, and building tools that make a real impact both internally and externally, we’d love to have you on board!
We are looking to speak to candidates who are based in Dublin for our hybrid working model.
We're looking for someone who
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Has at least 5 years of experience as a backend or full stack engineer
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Enjoys collaboration and being part of a team
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Is approachable, curious, and intellectually honest
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Is a backend engineer with a willingness to take on frontend tasks or a full-stack developer with a bias towards backend
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Has written backend systems in a compiled language (Java, C#, Go, etc.)
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Has experience with the design and architecture of a modern, scalable web application
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Enjoys chasing down difficult problems in a distributed environment and on an database diagnostic/operation level
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Always strives to expand their knowledge and keeps up to date with new technologies
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Is familiar with debugging and troubleshooting production issues
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Strong understanding of algorithms, data structures and their time and space complexity
Nice to Haves
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Has worked with distributed event streaming platforms like Kafka or Warp Stream and/or event processing platforms like Flink
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Experience developing and writing code observability tools
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Previous work in TypeScript, React, and Node.js, particularly maintaining an ecosystem of dependencies
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Knowledge of database internals and tuning mechanisms, particularly indexing
Role Responsibilities
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Design, write and maintain Observability code and features
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Contribute to and lead complex technical projects
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Investigate large scale distributed production issues
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Collaborate with team members to develop our codebase, best practices and design principles
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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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Mentor junior team members
Success Measures
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In 1 month, you'll be familiar with the parts of the system that your team owns, the existing features, and projects within the Observability team and have contributed minor tasks within our codebase
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In 3 months, you will be contributing to design and development of your team’s projects and starting to ship tickets regularly
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In 6 months, you will have ramped up enough to take on medium+ sized projects, contribute actively in our technical discussions and proactively improve our codebase and products. You will be supporting our customers during escalations and have joined our on-call rotation
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 nearly 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 is an equal opportunities employer.
REQ ID: 426170
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MongoDB 소개

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+
직원 수
New York
본사 위치
$24.0B
기업 가치
리뷰
10개 리뷰
3.8
10개 리뷰
워라밸
3.5
보상
3.2
문화
4.1
커리어
3.4
경영진
3.0
72%
지인 추천률
장점
Great team culture and collaborative environment
Good work-life balance and flexible hours
Excellent health benefits
단점
High workload and long hours
Management issues and lack of direction
High pressure and stress during peak times
연봉 정보
37개 데이터
Mid/L4
Senior/L5
Mid/L4 · Design Program Manager
1개 리포트
$156,000
총 연봉
기본급
$120,000
주식
-
보너스
-
$156,000
$156,000
면접 후기
후기 5개
난이도
3.0
/ 5
소요 기간
14-28주
면접 과정
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Onsite/Virtual Interviews
5
Team Matching
6
Offer
자주 나오는 질문
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
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