Senior Software Engineer, Storage Layer Services
Senior engineer building and operating multi-tenant cloud storage control plane services for MongoDB Atlas. Requires 5+ years experience with Rust/C++, Kubernetes, distributed systems, and operational excellence.
What you’ll do
- Design, build, and operate control plane services powering an elastic and multi-tenant storage layer for thousands of database instances.
- Solve problems around maintaining high availability and performance during load spikes, hardware failures, cloud provider outages, and other disruptions.
- Contribute to a culture of operational excellence through dashboards, playbooks, and on-call improvements.
- Lead complex technical projects from planning through successful deployment with clear stakeholder updates.
- Partner closely with peers across database, cloud, and infrastructure engineering teams as well as project management to investigate incidents and develop long-term roadmaps.
- Mentor junior engineers and foster a collaborative team environment.
Requirements
- 5+ years of professional software development experience building, deploying, and operating multi-tenant cloud services with a focus on operational excellence.
- Experience with large backend/compiled codebases, such as Rust or C/C++.
- Experience with containerization and orchestration platforms (e.g. Kubernetes).
- Experience with observability tooling (e.g. time series metrics, dashboards).
- Experience with distributed systems.
- Familiarity with database internals or experience building core components for data processing systems.
- 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.
- Demonstrated track record of going above and beyond for customers.
Nice-to-haves
- Experience writing and profiling highly performant Rust code.
- Experience improving reliability through chaos engineering and load testing.
- Experience building scalable cloud services on multiple cloud provider platforms (AWS, Azure, GCP).
- 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).
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