MongoDB
SiteReliabilityEngineer(SeniororStaff),StorageLayerServices(SLS)
Neural analysis suggests this role is
optimal for Senior candidates.
“Site Reliability Engineer (Senior or Staff), Storage Layer Services (SLS) at MongoDB. Skills: Site Reliability Engineering, Distributed Systems, Cloud Infrastructure, Storage Systems. Work on multi-tenant distributed storage systems. Balance strategic infrastructure goals”
What You'll Achieve.
Enhance today’s Atlas storage stack; Enable more customer workloads to run more efficiently; Define SLOs; Shape capacity plans; Ensure reliability, durability, and operational safety; Execute on multi-year roadmap; Accelerate time-to-market; Modernize legacy workloads; Embrace innovation; Unleash AI
Industry & Context.
Resolve issues involving the storage infrastructure; Optimize infrastructure performance
24/7 on-call rotation
What They're Looking For.
Must Have
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 Have
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
What You'll Do.
Work on multi-tenant distributed storage systems
Balance strategic infrastructure goals
Build for reliability
Make services and infrastructure available
Make services and infrastructure resilient
Make services and infrastructure fault-tolerant
Make services and infrastructure self-healing
Identify and configure key metrics
Participate in 24/7 on-call rotation
Resolve issues involving storage infrastructure
Become expert in infrastructure performance
Optimize from application level to kernel
How You'll Work.
Team & Collaboration
Partner with teams building storage services; Work with product team
Process & Methodology
Planning and executing large-scale data and workload migrations
Full Job Description
The Team MongoDB’s Storage Layer Services (SLS) team is re-architecting the MongoDB cloud storage layer and sits at the heart of our next-generation cloud storage architecture. This relatively new team is building performant, multi-tenant distributed storage services that both enhance today’s Atlas storage stack and enable more customer workloads to run more efficiently. 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. You’ll join a small, senior team of SREs as founding members of this organization, playing a crucial role in executing on a multi-year roadmap for MongoDB’s cloud storage architecture. We are looking to speak to candidates who are based in Dublin or Cork for our hybrid working model. 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 Have operated or supported stateful storage or database systems at scale, and are comfortable with durability, consistency, and recovery trade-offs. Possess a customer-focused mindset Value efficiency in processes and operations Prefer automation over manual processes. We are a small team of software engineers with a strong bias towards software solutions to avoid toil Experience using and extending containerization technologies, particularly Kubernetes, to enhance application agility, optimize resource utilization, and accelerate time-to-market 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) 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 infra
Applying for this Site Reliability Engineer (Senior or Staff), Storage Layer Services (SLS) role?
Most applicants get filtered before a human reads their resume. See if yours makes the cut.
ANONYMOUS · UNFILTERED
What do employees actually say about MongoDB?
Real rants from real employees. Read before you apply.