Description
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
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