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

MongoDB; Miami (FL); On-site; USD 127,000 - 249,000; Full time

Benefits offered by this job

Flexible paid time off

Equity participation

401(k) plan

Mental health counseling

Transgender-inclusive health coverage

Job summary

A leading cloud software company is looking for an experienced engineer to join their Storage Layer Services team. The role involves working on multi-tenant distributed storage systems, ensuring reliability, and participating in a 24/7 on-call rotation. Candidates should have 6+ years of experience in software development, proficiency in programming languages like Python or Go, and familiarity with cloud infrastructure platforms. The position offers a competitive salary range and various benefits for U.S.-based employees.

Qualifications

• 6+ years of experience in software development and operating distributed systems.
• Proficient in Python, Go, or similar languages.
• Experience with stateful storage or database systems at scale.

Responsibilities

• Work on multi-tenant distributed storage systems.
• Build for reliability and fault tolerance.
• Participate in a 24/7 on-call rotation for storage infrastructure.

Skills

Software development

Distributed systems

Python

Go

Kubernetes

AWS

GCP

Azure

Linux 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

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.

MongoDB’s base salary range for this role is posted below. Compensation at the time of offer is unique to each candidate and based on a variety of factors such as skill set, experience, qualifications, and work location. Salary is one part of MongoDB’s total compensation and benefits package. Other benefits for eligible employees may include: equity, participation in the employee stock purchase program, flexible paid time off, 20 weeks fully‑paid gender‑neutral parental leave, fertility and adoption assistance, 401(k) plan, mental health counseling, access to transgender‑inclusive health insurance coverage, and health benefits offerings. Please note, the base salary range listed below and the benefits in this paragraph are only applicable to U.S.-based candidates.

MongoDB’s base salary range for this role in the U.S. is: $127,000—$249,000 USD