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MongoDB

Senior Software Engineer, Cluster to Cluster Synchronization, Migration Tooling

MongoDB is hiring a Senior Software Engineer, Cluster to Cluster Synchronization, Migration Tooling in Dublin, Ireland. Level rates it ; you can apply on MongoDB.

Level's read on this job

  • On Level's scale, this software engineer role is Little AI ●○○○: aI is not part of the work.
  • Level classifies it as a senior role.
  • Level lists 374 other open roles at MongoDB.
  • The role was posted within the past week.

AI in this role

The Cluster to Cluster Synchronization team is working to make migrations, backups, and disaster recovery of MongoDB clusters easy and reliable. Our main focus is mongosync, a tool to synchronize two MongoDB clusters. This tool is a top priority for the company, and is used to migrate customers from on-prem MongoDB to MongoDB's cloud service, MongoDB Atlas.

Our team champions a strong culture of inclusivity and collaboration. If you want to work on a collaborative team that’s creating a high-performance distributed service for syncing databases, this is the team for you!

We are looking to speak to candidates who are based in Dublin for our hybrid working model.

Responsibilities

  • Build mongosync, a database migration and syncing tool. This tool is heavily used by MongoDB Atlas (our Database-as-a-Service), as well as by on-prem customers
  • Develop the MongoDB Database Tools, a set of CLI utilities for working with a MongoDB deployment. It includes tools for importing, exporting, and diagnostics
  • Work closely with product, support, and engineers across the organization to collectively build features that our customers love
  • Mentor and contribute to the growth of team members

Candidate Profile

  • 5+ years of hands-on experience designing, building, testing, and maintaining industrial-strength software
  • Experience with building databases or core components for data processing systems
  • Experience with distributed systems such as data replication, distributed transactions, scalability, and fault tolerance
  • Experience in at least one compiled language, and interest in working with Go
  • Excellent verbal and written technical communication skills and a desire to collaborate with colleagues and mentor junior engineers
  • Curiosity, willingness, and ability to quickly learn new things in the domains of computer science and software engineering

Success Measures

  • In three months you’ll have learned about how MongoDB and mongosync works. You’ll have contributed to an ongoing project and fixed a few bugs in existing code
  • In six months, you’ll be reviewing code and new feature designs. You're involved in the design and implementation of a major project, and leading development of smaller features
  • In twelve months, you’re leading the design and development of major new features and are helping to mentor new engineers on the team. You have strong familiarity with the products the team owns and are able to work across the codebase

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 data platform for the AI era, enabling builders to create, transform, and disrupt industries with software. MongoDB’s unified data platform, the most widely available, globally distributed data platform 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 data platform and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and over 67,000 customers, including AI-native startups and approximately 75% of the Fortune 100, 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: 4273608805

How we rate this

Senior Software Engineer, Cluster to Cluster Synchronization, Migration Tooling at MongoDB rates 31 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.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

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