Site Reliability Engineer (Senior or Staff), Storage Layer Services (SLS)

MongoDB; United States; Remote; USD 127,000 - 249,000; Full time

Job summary

A cloud technology company is seeking an experienced software engineer to work on distributed storage systems. This role involves ensuring reliability and performance of multi-tenant storage services. Candidates should have over 6 years experience in software development, proficiency in Python or Go, and expertise in cloud infrastructure platforms like AWS or GCP. The position can be remote, but the candidate should be located in an Eastern or Central time zone. A competitive salary between $127,000 and $249,000 USD is offered.

Qualifications

• 6+ years of experience in software development and distributed systems.
• Customer-focused mindset with a preference for automation.
• Expertise in cloud infrastructure platforms like AWS, GCP, or Azure.

Responsibilities

• Work on multi-tenant distributed storage systems.
• Build reliable and fault-tolerant services.
• Participate in 24/7 on-call rotation for storage infrastructure issues.

Skills

Software development

Distributed systems

Proficiency in Python or Go

Stateful storage systems

Cloud infrastructure

Containerization technologies (Kubernetes)

Linux operating system internals

Networking concepts

Job description

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.

This role can be based out of our Boston, New York City, Raleigh, Miami, Pittsburgh or remotely in the United States while physically based in an Eastern or Central time zone location.

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 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

Strong candidates may also have experience with

• 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

Equal Employment Opportunity

MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Accommodation for Disabilities

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

Base Salary Range (U.S.)

$127,000—$249,000 USD