岗位描述
岗位职责
1、Define, implement, and continuously improve SLI/SLOs, alerting standards, and error budgets for the CaaS Private platform and its critical services;
2、Build and maintain observability capabilities across metrics, logs, alerts, and dashboards to provide clear insight into platform health, saturation, latency, and failure modes;
3、Lead or coordinate incident response for platform-impacting events, ensuring timely mitigation, strong communication, and durable follow-up actions;
4、Drive blameless postmortems and root cause analysis, turning operational learnings into concrete engineering improvements;
5、Automate repetitive operational tasks and remediation workflows to reduce toil and improve platform consistency, safety, and recovery time;
6、Improve reliability, upgrade safety, and operational readiness for Kubernetes clusters, ingress paths, service mesh components, node services, and critical platform dependencies;
7、Partner with platform, network, and security engineers to ensure platform changes are observable, resilient, and aligned with organizational controls and change processes;
8、Develop capacity models, forecast growth, and support load and resilience testing to ensure the platform can meet demand without compromising performance or availability;
9、Improve release readiness by defining runbooks, health checks, rollback expectations, and pre-production acceptance criteria for platform changes;
10、Support application teams in understanding platform reliability patterns, troubleshooting production issues, and adopting operational best practices;
11、Evaluate emerging tools and techniques that can improve reliability, observability, scalability, and incident response across the private cloud platform;
12、Develop and maintain documentation for operational standards, dashboards, response procedures, and reliability best practices.
岗位要求
1、Minimum 3+ years of experience in Site Reliability Engineering, Production Engineering, DevOps, or a closely related infrastructure role;
2、Solid expertise in Kubernetes, with hands-on experience operating clusters on bare metal or private cloud environments;
3、Proficiency in Linux system administration and infrastructure-level scripting (Python, Ansible, and bash scripting);
4、Strong experience with observability stacks and telemetry pipelines, including metrics, logging, alerting, and dashboard design;
5、Practical knowledge of Prometheus, Grafana, Splunk, and OpenTelemetry-style instrumentation concepts;
6、Demonstrable experience defining and operating SLI/SLO based reliability models, alerting strategies, and error budgets;
7、Strong understanding of incident management, root cause analysis, postmortems, and operational readiness practices;
8、Strong understanding of computer networks, virtualization, containerization, and the behavior of distributed systems under failure;
9、Experience improving reliability and performance for Kubernetes platform services, including stateful workloads and ingress/service connectivity;
10、Familiarity with GitOps and CI/CD workflows for controlled platform change delivery;
11、Proven ability to work independently and deliver results on defined targets;
12、Excellent analytical skills, calm decision-making under pressure, and attention to detail.