Senior Software Engineer, Storage Layer Services

MongoDB's mission is to empower innovators to create, transform, and disrupt industries by unleashing the power of software and data.
We enable organizations of all sizes to easily build, scale, and run modern applications by helping them modernize legacy workloads, embrace innovation, and unleash AI.
Our industry-leading developer data platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available in more than 115 regions across AWS, Google Cloud, and Microsoft Azure.
Atlas allows customers to build and run applications anywhere—on premises, or across cloud providers.
With offices worldwide and over 175,000 new developers signing up to use MongoDB every month, it's no wonder that leading organizations, like Samsung and Toyota, trust MongoDB to build next-generation, AI-powered applications.
The Storage Layer Services Team is currently re-architecting the MongoDB Cloud Storage Layer.
This is a relatively new team in MongoDB that sits at the heart of the next generation MongoDB Cloud Storage Architecture, and the team is working to build performant multi-tenant distributed storage services both to enhance our existing MongoDB cloud storage architecture and to power more of our customers' use cases more efficiently.
We are looking for talented Senior Engineers to join the team and be founding members of the team, where you will play a crucial role in our multi-year roadmap.
Our team champions a strong culture of inclusivity, diversity, and collaboration.
If you want to work on a collaborative team that applies distributed systems fundamentals to deliver core storage features of a popular database, join us
Let's change what's possible for application developers, system architects, and database operators.
We are looking to speak to candidates who are based in Sydney for our hybrid working model.
Candidate Profile Minimum of 5 years of experience in programming, debugging, and performance tuning of distributed and/or highly concurrent software systems
Strong systems fundamentals, including multi-threaded programming and performance profiling
Experience with distributed systems
Proven experience in building, deploying, and operating multi-tenant cloud services with a focus on operational excellence
Familiarity with database internals or experience building core components for data processing systems
Hands-on experience in developing performance-sensitive software
Experience with large backend/compiled codebases, preferably in Rust or C/C++
B.Sc.
in Computer Science or a related field, or equivalent practical experience
Excellent verbal and written technical communication skills, with a strong desire to collaborate with colleagues
Strong time management skills and the ability to realistically assess project complexity
Interest in the theory and practice of high-availability systems; hands-on experience or an M.Sc.
/Ph.D.
in the domain is a plus Position Expectations Develop secure multi-tenant cloud-native storage solutions to ensure performance, automatic failover and zero downtime
Implement and operate (oncall) production-ready applications in Rust
Diagnose test failures and performance regressions, and implement fixes
Lead development and project management for large, cross-team initiatives
Identify, design, implement, test, and support new features related to Storage Layer Services, while contributing to the operational excellence of running a cloud service
Collaborate with Product Management and Engineering leadership to define product roadmaps Success Measures In the first month: Understand the high-level architecture of MongoDB Cloud Storage Architecture and resolve a few bugs
In three months: Contribute to the Rust development of a project slated for the initial release of the Storage Layer Services and take on code review responsibilities and participate in reviewing designs for new features
In six months: Lead the development of a new feature and help mentor new engineers on the team