Senior Software Engineer - Distributed Storage Systems

About the Role

The global data management software sector is projected to reach $137.6 billion by 2026. MongoDB leads the modern data platform industry and was the first database company to go public in over two decades. Join our innovative team to build transformative applications used every day worldwide.

The Storage Layer Services team is pioneering the redesign of MongoDB's Cloud Storage Layer. As a new but pivotal group, we develop high-performance, multi-tenant distributed storage services to enhance the existing architecture and serve a broader range of customer needs more efficiently. We are seeking accomplished Senior Engineers to be founding members, contributing to a multi-year strategic roadmap.

Our team values inclusivity, diversity, and collaboration. Work alongside peers applying distributed systems principles to build critical storage components of a widely-used database. This role is based in Sydney with a hybrid working arrangement.

Candidate Profile

• At least five years experience in programming, debugging, and optimizing distributed or highly concurrent software systems.
• Strong foundation in systems programming, including multi-threading and performance profiling.
• Experience with distributed system architectures.
• Proven expertise in creating, deploying, and managing multi-tenant cloud services emphasizing operational excellence.
• Knowledge of database internals or building foundational data processing components.
• Capability in developing performance-critical software.
• Experience with extensive backend and compiled codebases, ideally in Rust or C/C++.
• Bachelor’s degree in Computer Science or related field, or equivalent practical background.
• Excellent communication skills with a collaborative mindset.
• Strong time management and project complexity assessment abilities.
• Interest or background in high-availability system theory and practice; advanced degrees or hands-on experience advantageous.

Position Responsibilities

• Design and develop secure, multi-tenant cloud-native storage solutions that ensure high performance, automated failover, and zero downtime.
• Implement and maintain production-grade Rust applications, including on-call operational responsibilities.
• Investigate test failures and performance issues and apply corrections.
• Lead large-scale, multi-team development projects and manage related tasks.
• Design, develop, test, and support new Storage Layer Services features while promoting operational excellence.
• Partner with Product Management and Engineering leadership to guide product roadmap development.

Success Criteria

• Within the first month, comprehend the high-level MongoDB Cloud Storage Architecture and fix initial bugs.
• Within three months, contribute to Rust projects for initial Storage Layer Service releases, partake in code reviews, and evaluate new feature designs.
• Within six months, lead feature creation and mentor new team members.

About MongoDB

MongoDB empowers customers and teams to innovate rapidly by redefining data platforms for the AI era. Our unified, globally distributed data platform facilitates modernization, innovation, and AI deployment. Cloud-native MongoDB Atlas runs across AWS, Google Cloud, and Microsoft Azure. Serving 67,000+ customers including 75% of Fortune 100 companies and AI-focused startups, MongoDB powers critical applications worldwide.

We prioritize our Leadership Commitment to guide decisions and teamwork, cultivating a culture of support and growth. Employee resource groups, fertility benefits, and generous parental leave illustrate our investment in employee well-being and success.

MongoDB is dedicated to accessibility and equal opportunity. Candidates needing accommodation during application or interviews should notify us.