Senior Site Reliability Engineer
Senior SRE ensures reliability of MongoDB's multi-tenant cloud storage layer by defining SLOs, building resilient infrastructure, optimizing performance, and participating in on-call. Requires 6+ years experience with distributed systems, Python/Go, Kubernetes, and cloud platforms.
About the job
Responsibilities
- Work on our 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 us optimize from the application level all the way to the kernel
Requirements
- 6+ years of experience working on software development and operating distributed systems
- Proficiency in Python, Go, or a similar language
- Operated or supported stateful storage or database systems at scale, comfortable with durability, consistency, and recovery trade-offs
- 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 (e.g., TCP/IP, DNS, TLS, routing)
Nice-to-Haves
- Leading major architectural shifts, such as moving from legacy storage stacks to new multi-tenant storage architectures, including planning and executing large-scale data and workload migrations with tight availability and durability requirements
- Managing and scaling infrastructure across multi-cloud environments (AWS, GCP, or Azure)
- Designing secure, multi-tenant runtime environments at scale
Skills
Python, Go, Kubernetes, AWS, GCP, Azure, Linux, Distributed Systems, Storage Systems, MongoDB
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