Primary record

Staff Engineer

MongoDB Indexed employerSydney · Sydney, New South Wales, Australia
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Workplace

hybrid

Employment

Full-Time

Published

Aug 11, 2026

Closes

No date supplied

The role

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.

Engineering at MongoDB is globally distributed, with a mix of folks being fully remote, hybrid, or in-office. We have a small but growing team that calls Sydney home, and we are looking for a Staff Engineer to join the team working closely with other teams in Sydney and North America.

Our team champions a strong culture of inclusivity, diversity, and collaboration. If you want to work on a collaborative team that applies great engineering fundamentals to deliver core 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.

You’re an ideal candidate if:

• You have 10+ years of experience in programming, debugging, and performance tuning highly concurrent and/or distributed systems. Especially if you have worked in a systems language (C, C++, Rust, etc) for a number of those years

• You have a track record as an effective technical leader. You love helping teams be successful at solving vaguely defined problems in iterative and measurable ways. You put the customer first, and don’t hesitate to cross team boundaries in search of the right solution

• You have a solid grasp of related systems fundamentals, such as cache management, log-based recovery, transactions or performance profiling

• You’re comfortable reasoning about highly concurrent, asynchronous services — backpressure, tail latency, and the failure m

Requirements

Department: Durable TXs & Availability