Site Reliability Engineer; AI Platform

Position: Site Reliability Engineer (AI Platform)
As a Site Reliability Engineer II on the Serving Platforms team within Infrastructure Engineering, you will design, automate, and manage the core container stack and infrastructure powering our global business applications

Operating in a high-scale, self-hosted environment, you will serve as a subject matter expert for Kubernetes, Linux systems, and cloud-native automation, directly driving the reliability, security, and efficiency of our platform

In this role, you will collaborate with cross-functional engineering teams worldwide, lead greenfield infrastructure projects, resolve complex incidents, and build self-service capabilities that empower application developers across the organization

Maintain, tune, and ensure high availability for the low-level Linux operating system and Kubernetes control plane across our self-hosted bare-metal infrastructure

Architect, build, and maintain scalable container management, configuration management, and automation tools across global environments

Investigate, resolve, and conduct root-cause analysis for complex infrastructure disruptions and performance bottlenecks at the system call level

Participate in high-impact platform engineering projects and collaborate with globally distributed engineering teams to drive infrastructure standardization

Participate in the team’s on-call rotation to support critical production systems and ensure operational resilience

Develop and maintain self-service tools, automation pipelines, and robust infrastructure monitoring to eliminate manual operational overhead

Benefits

Generous parental leave

Generous paid vacation + time off for your birthday

Paid volunteer time

Enriched learning and development opportunities - leadership development & access to thousands of on-demand e-learnings

Work from (almost) anywhere - wherever you do your best work

Mental health and well-being - company-paid therapy sessions through Spring Health, company-paid subscription to Head Space, and company-wide weeks off a year so the whole team can recharge

Qualifications

5+ years of hands-on Linux experience (e.g., Ubuntu, CentOS) with expertise in kernel tuning (sysctl), process management (cgroups/name spaces), system calls, and performance optimization3+ years of experience using configuration management systems such as Puppet, Chef, Ansible, or Salt Stack in production environments

Proven experience building, operating, and troubleshooting bare-metal Kubernetes clusters from the ground up, including control plane, etcd, and CNI plugin management

Proficiency with continuous system automation and scripting in languages such as Go, Python, Ruby, Perl, or Bash Demonstrated experience responding to live service disruptions, leading root-cause analysis, and operating messaging systems (e.g., Kafka or RabbitMQ) in production

Experience operating, scaling, and monitoring AI/ML or LLM-powered services and workloads in high-concurrency production environments

Hands-on expertise with public cloud providers (AWS, GCE, or Azure) and containerized CI/CD pipelines (e.g., Git Hub, Jenkins, CircleCI, Docker)

Experience with distributed key-value stores (e.g., Consul, etcd, Zookeeper, Redis) and enterprise observability/alerting tools (e.g., Prometheus, Sensu)
Familiarity with server virtualization infrastructure (e.g., Proxmox, VMware, Xen, Open Stack) and low-level networking concepts (IPtables/NFTables, routing, load balancing)
Experience developing and maintaining OS-level software packaging (RPM/DEB) and participating in globally distributed software engineering teams