Site Reliability Engineer , Storage Layer Services
This SRE will operate and improve MongoDB Atlas’s multi-tenant distributed storage infrastructure, focusing on reliability, performance, observability, automation, and incident response. The role requires 6+ years of distributed-systems experience plus expertise in storage or databases, Kubernetes, cloud platforms, Linux, and networking.
About the job
Responsibilities
- Work on multi-tenant distributed storage systems, balancing long-term strategic infrastructure goals with immediate engineering needs.
- Build reliable services and infrastructure that are 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 storage infrastructure.
- Become an expert in infrastructure performance, optimizing from the application level through the kernel.
Requirements
- 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, including durability, consistency, and recovery trade-offs.
- Customer-focused mindset and an emphasis on operational efficiency.
- Preference for automation over manual processes and reducing operational toil through software solutions.
- Experience using and extending containerization technologies, particularly Kubernetes.
- Expertise in cloud infrastructure platforms, including AWS, Google Cloud Platform, or Azure.
- Understanding of Linux operating system internals and networking concepts such as TCP/IP, DNS, TLS, and routing.
Nice-to-haves
- Experience leading major architectural shifts, including migrations from legacy storage stacks to new multi-tenant storage architectures.
- Experience planning and executing large-scale data and workload migrations with strict availability and durability requirements.
- Experience managing and scaling infrastructure across AWS, Google Cloud Platform, or Azure.
- Experience designing secure, multi-tenant runtime environments at scale.
Skills
Python, Go, Kubernetes, AWS, GCP, Microsoft Azure, Linux, TCP/IP, DNS, Tls, Routing, Distributed Systems, Database Systems, Containerization
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