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 SpringHealth, company-paid subscription to HeadSpace, and company-wide weeks off a year so the whole team can recharge- 5+ years of hands-on Linux experience (e.g., Ubuntu, CentOS) with expertise in kernel tuning (sysctl), process management (cgroups/namespaces), system calls, and performance optimization
• 3+ years of experience using configuration management systems such as Puppet, Chef, Ansible, or SaltStack 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., GitHub, 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, OpenStack) 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