Senior Site Reliability Engineer
The Senior Site Reliability Engineer will operate and improve Kubernetes-based distributed infrastructure for AI application workloads, focusing on scalability, observability, reliability, and tenant isolation. The role requires 6+ years of distributed-systems experience, production Kubernetes expertise, cloud infrastructure knowledge, and strong programming skills.
About the job
Responsibilities
- Operate and improve multi-tenant Kubernetes infrastructure running customer workloads.
- Build reliable, resilient, fault-tolerant, available, and self-healing services and infrastructure.
- Identify and configure metrics to detect incidents and quantify service health, availability, and performance.
- Participate in a 24/7 on-call rotation to resolve platform infrastructure issues.
- Mentor early-career SREs and contribute to the team’s operational practices.
Requirements
- Strong background in software development and operating distributed systems.
- 6+ years of experience building and operating distributed systems, with proficiency in Python, Go, or a similar programming language.
- Experience operating Kubernetes in production and debugging below the abstraction layer, including scheduling, cluster networking, and node-level issues.
- Expertise in cloud infrastructure platforms, including AWS, Google Cloud Platform (GCP), or Azure.
- Strong understanding of Linux operating system internals and networking concepts such as TCP/IP, DNS, TLS, and routing.
- Customer-focused mindset and strong verbal and written technical communication skills.
- Bias toward efficient processes, operational simplicity, and automation over manual work.
- Eagerness to learn and a strong technical background.
Nice-to-haves
- Kubernetes networking experience with technologies such as Istio or Cilium.
- Production experience with service mesh or edge load balancing.
- Experience with secure multi-tenant runtime environments at scale.
- Multi-cloud infrastructure management experience.
- Experience with virtualization or workload isolation technologies.
Skills
Kubernetes, Python, Go, AWS, GCP, Microsoft Azure, Linux, TCP/IP, DNS, Tls, Routing, Istio, Cilium, Service Mesh, Edge Load Balancing
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