Atlas Growth is a cloud engineering group whose mission is to guide customers through their app development journey—from cluster configuration, data modeling and load testing, to running a production workload at scale.
We use an in-house experiments platform which helps us validate our features quickly, releasing only the work that positively impacts our customers.
Our engineers participate in cross-functional "squads" with product, design, analytics, and research focusing on a single metric (e.g.
retention).
Our engineering team is part of a larger Atlas Core Engineering org, building foundational elements of Mongo DB's developer data platform.
Atlas Growth 2 builds customer-facing features in Atlas and sits alongside other Growth engineering teams.
Recent projects include a personalized landing page for Atlas, a recommendation system that offers tips for better database performance, and a pricing page designed to optimize conversion rates.
We are looking to speak to candidates who are based in Dublin for our hybrid working model.
Role Overview Atlas Growth 2 seeks a Senior Software Engineer.
Senior engineers lead complex projects, provide mentorship to teammates, and shape the technical direction of our team.
They are expected to proactively suggest and implement improvements to our product, processes, and infrastructure, in addition to leading their projects.
Candidate Profile6+ years of software engineering experience Proficiency in Java, Go, C++/C, or a similar compiled language Experience writing database queries and indexes—either document-based or relational Experience writing and reviewing technical specs Interest in A/B testing or product design Familiarity with Kubernetes and container architecture Track record of designing, releasing, and monitoring highly complex features Experience with on call rotations Contribute readable, well-tested, and debuggable code Work closely with product management to assess feasibility of upcoming projects and guide long-term roadmap of customer-facing features Write scope and technical spec docs for large projects assigned by your manager.
Lead small working groups of two or three engineers for these projects Provide well-reasoned, thorough review of the team's code and technical documentation Take ownership of a particular domain and make a plan to improve that area Offer informal mentorship to your peers Participate in our 24/7 on-call rotation shared across all Growth teams About Mongo DBMongo DB 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.
Mongo DB'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, Mongo DB 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 Mongo DB for their most important applications, we're powering the next era of software.
Our compass at Mongo DB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win.
It's what makes us Mongo DB.
Mongo DB 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.
Mongo DB is an equal opportunities employer.
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