Strong fit for experienced SRE professionals who operate multi-tenant Kubernetes platforms and emphasize security and efficiency, based in Dublin with a full-time commitment.
Derived from job-description analysis by Serendipath's career intelligence engine.
Original posting from MongoDB
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
Responsibilities
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
Strong candidates may also have experience with
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
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 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
Source: MongoDB careers