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
Qualifications
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 optimization3+ years of experience using configuration management systems such as Puppet, Chef, Ansible, or SaltStack in production environmentsProven experience building, operating, and troubleshooting bare-metal Kubernetes clusters from the ground up, including control plane, etcd, and CNI plugin managementProficiency with continuous system automation and scripting in languages such as Go, Python, Ruby, Perl, or BashDemonstrated experience responding to live service disruptions, leading root-cause analysis, and operating messaging systems (e.G., Kafka or RabbitMQ) in productionExperience operating, scaling, and monitoring AI/ML or LLM-powered services and workloads in high-concurrency production environmentsHands-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
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