Description
MongoDB's Storage Layer Services (SLS) team is re-architecting the MongoDB cloud storage layer and sits at the heart of the company's next-generation cloud storage architecture.
You will partner with the teams building these storage services to define SLOs, shape capacity plans, and ensure the reliability, durability, and operational safety of the storage layer that underpins Atlas.
Responsibilities:
- Work on multi-tenant distributed storage systems, balancing long-term strategic infrastructure goals with immediate engineering needs
- Build for reliability, making services and infrastructure available, resilient, fault-tolerant, and self-healing
- Identify and configure key metrics to detect incidents and quantify service health, availability, and performance
- Participate in a 24/7 on-call rotation to resolve issues involving the storage infrastructure
- Become an expert in infrastructure performance, helping to optimize from the application level all the way to the kernel
The ideal candidate should:
- Have 6+ years of experience working on software development and operating distributed systems
- Proficiency in Python, Go, or a similar language
- Experience operating or supporting stateful storage or database systems at scale
- Customer-focused mindset
- Value efficiency in processes and operations
- Prefer automation over manual processes
- Experience using and extending containerization technologies, particularly Kubernetes
- Expertise in cloud infrastructure platforms, including AWS, Google Cloud Platform (GCP), or Azure
- Understanding of Linux operating system internals and networking concepts
Strong candidates may also have experience with:
- Leading major architectural shifts, such as moving from legacy storage stacks to new multi-tenant storage architectures
- Managing and scaling infrastructure across multi-cloud environments
- Designing secure, multi-tenant runtime environments at scale