Software Engineer 3
AI in this role
Software Engineer 3 for MongoDB Customer Observability Team in Dublin, building tools and platforms to monitor database performance.
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 an SE3 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
- Enjoys collaboration and being part of a team
- Is approachable, curious, and intellectually honest
- Is a backend engineer with a willingness to take on frontend tasks or a full-stack developer with a bias towards backend
- Has written backend systems in a compiled language (Java, C#, Go, etc.)
- Has experience with the design and architecture of a modern, scalable web application
- Is familiar with debugging and troubleshooting production issues
- Strong understanding of algorithms, data structures and their time and space complexity
Nice to Haves
- Experience developing and writing code observability tools
- Previous work in TypeScript, React, and Node.js, particularly maintaining an ecosystem of dependencies
- Knowledge and interest of database internals and tuning mechanisms, particularly indexing
Role Responsibilities
- Design, write and maintain Customer Observability code and features
- Contribute to and lead medium sized technical projects into production
- Work with customers and support engineers to fix issues and become part of our on-call rotation
- Collaborate with a diverse group of engineers to continually improve our coding best practices and operational systems
- Contribute in technical discussions and work with engineers to solve technical challenges
Success Measures
- 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
- In 3 months, you will be contributing to design and development of your team’s projects and starting to ship tickets regularly
- In 6 months, you will have ramped up enough to take on small+ 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: 1273361971
How we rate this
Software Engineer 3 at MongoDB rates 0 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
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