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About 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
Celonis is the trusted platform to industrialize Enterprise AI. At our core is the Celonis Context Model — which combines process data, business knowledge, and intelligence into a living digital twin of the enterprise that AI can actually understand, turning AI's operational blind spots into operati
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 modes of replicated state machines
You’ve worked on large, highly available, scalable and performant systems such as databases, high frequency trading platforms, cloud storage services, or maybe even Mars rovers
You have excellent verbal and written technical communication skills; you enjoy collaborating with colleagues and mentoring junior engineers
You enjoy learning new things in the domains of computer science and software engineering
AS A STAFF ENGINEER ON THE STORAGE LAYER SERVICES TEAM YOU WILL:
Be directly responsible for delivering on goals which span a 6-18 month timeframe
Play a key role in defining the roadmap for the next 12 months
Write well tested, production-ready code in rust
Act as a force multiplier across the organization, drive improvements to processes and tools to help us more confidently make sound decisions and changes to high risk parts of our codebase
Use our observability stack to inform decisions and measure the impact of work the team ships
Investigate performance regressions and guide the team through making complex changes that have to balance performance against other requirements
Champion a culture of operational excellence, and be part of a one-week-in-6 on-call rotation
Help cultivate a strong talent bench through interviewing, mentoring and knowledge sharing
Develop, maintain and apply expertise on cutting edge database and distributed systems research from industry and academia
Handle (or lead the effort to handle) time-sensitive customer escalations
Propose and advocate for high-impact projects across teams, connecting customer needs and company goals to a clear technical strategy for large initiatives
Drive consensus on abstract, complex issues affecting multiple teams by framing tradeoffs, engaging stakeholders, and guiding decisions to durable outcomes
Be open to occasional (once a year) travel to the US
SUCCESS MEASURES:
In the first month:
You have understood the high level architecture of SLS and fixed a few bugs
You are starting to develop relationships with key stakeholders across your VPs organisation
In three months:
You have diagnosed and fixed a few customer or testing-reported issues
You have contributed to the development of SLS and shipped your first feature to production
You are starting to take on code review responsibilities and are involved in reviewing the design for new features
In six months:
You have started mentoring other engineers on the team
You are leading the development of a new feature
You are beginning to involve yourself in planning and roadmapping efforts
In twelve months:
You have successfully shipped multiple major contributions
You own a department level goal
BENEFITS
5 weeks annual leave
22 weeks paid parental leave for both parents that covers childbirth, adoption, surrogacy and fostering. In your first year with MongoDB this benefit is reduced
Family forming assistance which covers fertility care, adoption and surrogacy
Subsidised health & dental insurance for you and your dependents (through Medibank)
Classpass credits, a Headspace subscription and Vaccination vouchers as part of our broader health and wellness programs
In-office Lunch (on us) up to 3 days per week
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 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.
Celonis is the trusted platform to industrialize Enterprise AI. At our core is the Celonis Context Model — which combines process data, business knowledge, and intelligence into a living digital twin of the enterprise that AI can actually understand, turning AI's operational blind spots into operati
Celonis is the trusted platform to industrialize Enterprise AI. At our core is the Celonis Context Model — which combines process data, business knowledge, and intelligence into a living digital twin of the enterprise that AI can actually understand, turning AI's operational blind spots into operati
Celonis is the trusted platform to industrialize Enterprise AI. At our core is the Celonis Context Model — which combines process data, business knowledge, and intelligence into a living digital twin of the enterprise that AI can actually understand, turning AI's operational blind spots into operati
Celonis is the trusted platform to industrialize Enterprise AI. At our core is the Celonis Context Model — which combines process data, business knowledge, and intelligence into a living digital twin of the enterprise that AI can actually understand, turning AI's operational blind spots into operati
Celonis is the trusted platform to industrialize Enterprise AI. At our core is the Celonis Context Model — which combines process data, business knowledge, and intelligence into a living digital twin of the enterprise that AI can actually understand, turning AI's operational blind spots into operati
