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中国
Onsite
Position Description
We are seeking a Senior Site Reliability Engineer who will be responsible for both build and shared services operations, including monitoring, site reliability engineering (SRE), and ensuring the stability, scalability, and performance of critical systems.
The ideal candidate is a strong technical problem-solver and capable of delivering end-to-end monitoring and reliability solutions while diagnosing complex issues during critical incidents.
Key Areas of Responsibilities
Own monitoring, Kubernetes platform reliability, and SRE operations to ensure highly reliable, available, and performant systems
Build, enhance, and maintain monitoring solutions using ITRS Geneos, Prometheus, Victoria-Metrics, Elasticsearch, and Grafana
Develop, optimize, and maintain alerting rules, dashboards, and observability pipelines
Troubleshoot Linux servers (RHEL 7/8/9), including upgrades, configurations, patching, and maintenance, while determining appropriate monitoring requirements for system changes
Analyze logs, investigate issues, and perform fault finding to identify performance exceptions
Collaborate with engineering, application, and infrastructure teams to improve system resilience, stability, security, efficiency, and scalability.
Operate, maintain, and optimize Kubernetes environments, including cluster health, workload reliability, capacity planning, and platform observability
Continuously research and adopt modern monitoring and SRE tools and practices.
Requirements
Bachelor’s degree or higher in Computer Science / Engineering
Around 8-10 years of experience within IT, preferably in site reliability engineering, production support, platform engineering, or investment banking environments
Strong experience configuring and maintaining monitoring and observability platforms, including:
ITRS Geneos, Prometheus, Victoriametrics, Elasticsearch, Grafana, and Kibana
Experience with automation (e.g., Bash, Python, Ansible, CI/CD tools) is a must
Hands-on experience building and implementing Prometheus pipelines, including exporters, scraping configurations, relabelling, metric routing, and integrations with long-term storage (e.g., Victoriametrics)
Experience building and maintaining Logstash pipelines, including ingestion, parsing, filtering, enrichment, and routing of logs into Elasticsearch
Ability to design, build, and maintain Grafana and Kibana dashboards for metrics, logs, and performance analytics across distributed systems
Understanding of metrics, logging, alerting, dashboards, and observability pipelines
Strong Linux administration skills (RHEL 7/8/9), including troubleshooting, upgrades, configuration, patching, and performance optimization.
Good understanding of SRE principles, high availability, scalability, incident management and Disaster Recovery / Business Continuity Planning) activities
Experience managing GPU-enabled infrastructure for AI or machine learning platforms is preferred.
Strong hands-on experience with Kubernetes, including cluster operations, workload orchestration, troubleshooting, scaling, and production support
Understanding of networking fundamentals, performance tuning, and troubleshooting distributed systems
Operations with participation in on-call rotations, including after-hours and weekend support
Self-motivated, adaptable and able to prioritize, learn continuously and manage multiple responsibilities effectively
Excellent in English, with Chinese will be advantage
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