Senior Site Reliability Engineer

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Senior Site Reliability Engineer in Others new

ByteDance
Full time
Email

Others
11/11/2026
Report

Dublin, Ireland

Responsibilities

Own reliability for large-scale Kubernetes and GPU clusters, including incident response, root-cause analysis, and corrective actions.
Manage CPU and GPU cluster and node provisioning, upgrades, scaling, repair, replacement, and decommissioning.
Build safe rollout, rollback, and validation mechanisms for cluster-level changes.
Improve workload placement, utilization, isolation, availability, quotas, priorities, preemption, affinity, autoscaling, and accelerator-aware scheduling.
Own compute capacity planning, resource forecasting, performance tuning, and infrastructure cost balancing across clusters and failure domains.
Define SLOs and error budgets and improve monitoring, alerting, runbooks, production-readiness reviews, and failure recovery.
Build automation and automated remediation to reduce operational toil and improve deployment safety.
Partner with workload owners and infrastructure teams on platform standards, design reviews, and operational practices.

Requirements

Bachelor’s degree in Computer Science, a related technical field, or equivalent practical experience.
At least 3 years of experience in Site Reliability Engineering, Production Engineering, Systems Engineering, or a similar infrastructure role.
Strong hands-on experience operating Kubernetes in production, including troubleshooting clusters, nodes, pods, controllers, and workload scheduling.
Experience managing CPU and GPU compute resources across capacity, allocation, isolation, utilization, and failure recovery.
Strong knowledge of Linux systems, container runtimes, cgroups, namespaces, networking fundamentals, and host-level performance troubleshooting.
Proficiency in Go, Python, Bash, or another programming language used for automation and infrastructure tooling.
Preferred experience with large multi-cluster or multi-region Kubernetes fleets, GPU clusters, and AI infrastructure at scale.
Preferred knowledge of Kubernetes architecture and internals, including the API server, etcd, scheduler, controller manager, kubelet, admission control, custom controllers, and operators.
Preferred experience with distributed AI/ML training or inference workloads, infrastructure-as-code, configuration management, Kubernetes deployment tooling, SLOs, capacity models, failure-domain planning, observability, automated remediation, and workload recovery.
Strong troubleshooting, written and verbal communication, and ownership during high-impact incidents.

Benefits

Rotational on-call schedule providing continuous coverage for critical compute infrastructure.
Work across multiple time zones with rigorous change management and post-incident review practices.

ByteDance

ByteDance is a global incubator of platforms at the cutting edge of commerce, content, entertainment and enterprise services - over 2.5bn people interact with ByteDance products including TikTok. Creation is the core of ByteDance's purpose. Our products are built to help imaginations thrive. This...

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