Atlas Agent Engine is a platform that runs AI agents as customer workloads in strongly isolated environments, on multi-tenant Kubernetes clusters across multiple cloud providers. The platform's SRE team owns the operational foundations: the Kubernetes fleet, networking, observability and alerting, and tenant isolation.
As part of an expanding SRE team, you will play a key role in defining operational strategies for our runtime, enhancing runtime security, and supporting expansion across additional cloud platforms.
We are looking to speak to candidates who are based in Dublin for our hybrid working model.
The ideal candidate should:- Have 6+ years of experience working on software development and operating distributed systems
- Proficiency in Go, or a similar language
- Have operated Kubernetes in production and be comfortable debugging it below the abstraction: scheduling, cluster networking, and node-level issues
- Understanding of Linux operating system internals and networking concepts (e.g., TCP/IP, DNS, TLS, routing)
- Expertise in cloud infrastructure platforms, including AWS, Google Cloud Platform (GCP), or Azure
- Value efficiency in processes and operations
- Possess a customer-focused mindset
- Operate and improve the multi-tenant Kubernetes infrastructure that runs customer workloads
- 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 platform infrastructure
- Kubernetes networking (e.g., Istio, Cilium) and service mesh or edge load balancing in production
- Designing secure, multi-tenant runtime environments at scale
- Managing and scaling infrastructure across multi-cloud environments (AWS, GCP, or Azure)
- Virtualization and workload isolation technologies
MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the data platform for the AI era, enabling builders to create, transform, and disrupt industries with software. MongoDB’s unified data platform, the most widely available, globally distributed data platform 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 data platform and is available across AWS, Google Cloud, and Microsoft Azure.
With offices worldwide and over 67,000 customers, including AI-native startups and approximately 75% of the Fortune 100, 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: 4273615094
Skills Required
- 6+ years of experience developing and operating distributed systems
- Proficiency in Go or a similar programming language
- Production experience operating Kubernetes
- Ability to debug Kubernetes scheduling, cluster networking, and node-level issues
- Understanding of Linux operating system internals and networking concepts, including TCP/IP, DNS, TLS, and routing
- Expertise with AWS, Google Cloud Platform, or Microsoft Azure
- Experience with Kubernetes networking, service mesh, or edge load balancing in production
- Experience designing secure, multi-tenant runtime environments at scale
- Experience managing and scaling multi-cloud infrastructure
- Experience with virtualization and workload isolation technologies
MongoDB Compensation & Benefits Highlights
-
Parental & Family Support — Programs include 20 weeks of paid parental leave (subject to eligibility), fertility/adoption/surrogacy support, and subsidized backup child and elder care. Together these benefits stand out as a comprehensive suite for growing families.
-
Healthcare Strength — Multiple medical plan options, dental and vision coverage, mental-health resources, and inclusive care offerings are provided. Overall, the health benefits portfolio is positioned as robust.
-
Leave & Time Off Breadth — Flexible PTO alongside observed holidays is advertised, with flexible and hybrid work models supporting time away from work. These policies aim to enable rest when team workloads permit.
MongoDB Insights
What We Do
The database market is big. How big? Well, according to IDC, it’ll reach $153 billion by 2027. And MongoDB is at the forefront of that innovation with thousands of customers across the globe. We empower developers and businesses to build and deploy the applications they want, wherever they want.
Why Work With Us
We are ambitious. We are passionate about creativity. And we believe the best paths are the ones we have yet to forge.
Gallery
MongoDB Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
MongoDB provides multiple working model options for our employees, including the flexibility to work from home to opportunities for collaboration and social interaction in a MongoDB office.





















