Site Reliability Engineer (Senior or Staff), Storage Layer Services (SLS)
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At a glance
- Employment type
- Full-time
- Location
- Dublin, Ireland
- Workplace
- On-site
- Category
- DevOps
What you'll be doing
Join MongoDB's Storage Layer Services (SLS) team as a Senior or Staff Site Reliability Engineer to help re-architect the cloud storage layer. You'll work on multi-tenant distributed storage systems, ensuring reliability, durability, and operational safety, and play a key role in a small, senior SRE team executing a multi-year roadmap.
- Work on 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, optimizing from the application level to the kernel
Key requirements
Must-have
- 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
- Customer-focused mindset
- Value efficiency in processes and operations
- Preference for automation over manual processes
- Experience with containerization technologies, particularly Kubernetes
- Expertise in cloud infrastructure platforms, including AWS, GCP, or Azure
Nice-to-have
- Experience leading major architectural shifts, such as moving from legacy storage stacks to new multi-tenant storage architectures
- Experience planning and executing large-scale data and workload migrations with tight availability and durability requirements
- Experience managing and scaling infrastructure across multi-cloud environments
- Experience designing secure, multi-tenant runtime environments at scale
Experience: 6+ years
Role signals
- Technical focus
- Site Reliability Engineering, Distributed Systems, Cloud Storage
- Architecture / system design
- Indicated in the listing
- Hands-on vs management
- Hands-on
Similar jobs
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.
This role can be based out of either our Dublin or Cork office or remotely in Ireland.
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
About MongoDB
MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform, the most widely available, globally distributed database on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.
With offices worldwide and over 60,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software.
Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB.
To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!
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.
MongoDB is an equal opportunities employer.
REQ ID: 2263171786
Interview prep pack
Grounded in this listing. Use it to prepare examples before you apply.
Your interview focus
You will be assessed on your expertise in building and operating distributed, multi-tenant storage systems, automation skills (Python/Go), deep knowledge of cloud infrastructure (AWS/GCP/Azure), Kubernetes, and Linux internals. Emphasis is on reliability, scalability, and operational excellence for MongoDB Atlas' storage layer.
- Distributed storage systems·High
- Cloud infrastructure (AWS/GCP/Azure)·High
- Kubernetes & containerization·High
- Python/Go automation·High
Only have 30 minutes?
Follow a focused preparation plan based on this job.
Start 30-minute prep
Your 30-minute plan
Review Distributed Storage Concepts
0–8 minFocus on durability, consistency, recovery, and multi-tenancy in cloud environments.
Refresh Python/Go Automation Skills
8–15 minPractice scripting or automation relevant to storage operations.
Study Kubernetes for Stateful Services
15–23 minReview how Kubernetes manages persistent storage and stateful workloads.
Prepare Incident Response Stories
23–30 minRecall specific incidents you handled, focusing on your actions and outcomes.
Talking points
, 6 itemsDistributed Storage System Design
You will work on multi-tenant distributed storage systems and must understand durability, consistency, and recovery trade-offs.
Cloud Infrastructure (AWS, GCP, Azure)
Expertise in cloud platforms is required to manage and optimize MongoDB Atlas' storage layer across multiple environments.
Kubernetes and Containerization
You will use and extend Kubernetes to enhance agility and resource utilization for storage services.
Python/Go Automation
The team prefers automation over manual processes; proficiency in Python, Go, or similar is essential.
Linux Internals & Networking
Understanding Linux OS internals and networking (TCP/IP, DNS, TLS) is key for optimizing infrastructure performance.
Incident Detection & Response
You will participate in a 24/7 on-call rotation and need to identify, respond to, and resolve incidents efficiently.
What to research
, 3 itemsDistributed, Multi-Tenant Storage Systems
Expect deep questions on designing, operating, and scaling distributed storage with strong reliability and durability guarantees.
Cloud Infrastructure and Kubernetes Integration
Be ready to discuss your experience managing storage across AWS, GCP, or Azure, and using Kubernetes for stateful services.
Automation and Operational Efficiency
Demonstrate your ability to automate processes using Python or Go, reducing manual toil and improving reliability.
Questions to ask
, 6 itemsWhat are the biggest technical challenges the SLS team is currently facing?
Why ask this? Reveals the team's priorities and where your skills can have the most impact.
How does the team define and measure success for reliability and performance?
Why ask this? Clarifies expectations and the team's approach to SLOs and metrics.
What is the on-call rotation like, and how does the team handle incident response?
Why ask this? Helps you understand operational demands and support structures.
How much autonomy do engineers have in choosing tools and designing solutions?
Why ask this? Shows the level of technical ownership and innovation possible.
What opportunities exist for leading architectural changes or migrations?
Why ask this? Indicates potential for growth and leadership within the team.
How does MongoDB support professional development for SREs?
Why ask this? Reveals the company's commitment to your ongoing learning.
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