Position Description

We are looking for an experienced Senior Site Reliability Engineer to manage platform operations and shared infrastructure services, with a focus on observability, site reliability engineering, and system resilience, capacity, and performance. The right candidate combines technical troubleshooting capabilities with the ability to design end-to-end reliability frameworks and resolve critical operational incidents.

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Responsibilities

• Take ownership of SRE practices, Kubernetes platform reliability, and system monitoring to maintain optimal uptime, resilience, and operational performance.
• Architect, upgrade, and maintain enterprise observability solutions powered by ITRS Geneos, Prometheus, Victoria-Metrics, Elasticsearch, and Grafana.
• Design, refine, and maintain alerting policies, analytical dashboards, and telemetric data pipelines.
• Administer RHEL Linux server fleets (versions 7, 8, and 9) through patching, configuration, OS upgrades, and system troubleshooting, ensuring monitoring strategies align with infrastructure modifications.
• Perform log analysis, root cause investigations, and fault isolation to resolve performance bottlenecks.
• Partner with development, software engineering, and core infrastructure units to elevate system stability, efficiency, security, and scalability.
• Manage, optimize, and maintain Kubernetes cluster health, workload orchestration, capacity management, and container observability.
• Evaluate, test, and integrate modern SRE frameworks, observability tools, and operational methodologies.

Requirements

• Bachelor's degree or higher in Computer Science, Software Engineering, or a related field.
• Approximately 8 to 10 years of experience in IT operations, with a emphasis on site reliability engineering, platform engineering, production support, or investment banking systems.
• Proven expertise in implementing and supporting enterprise monitoring and observability suites (ITRS Geneos, Prometheus, Victoria-Metrics, Elasticsearch, Grafana, Kibana).
• Demonstrated proficiency in automation scripting using Bash, Python, Ansible, and CI/CD automation platforms.
• Practical experience building Prometheus telemetry pipelines, including custom exporters, scrapers, metric relabeling, and long-term storage integrations like Victoria-Metrics.
• Hands-on experience constructing Logstash processing pipelines for log ingestion, parsing, filtering, and routing into Elasticsearch.
• Proven track record of designing Grafana and Kibana visualization dashboards for metrics, logging, and system performance telemetry.
• Deep understanding of observability concepts, metric aggregation, log enrichment, and alerting architectures.
• Strong Red Hat Enterprise Linux administration skills (RHEL 7/8/9), covering kernel/system tuning, patching, configuration management, and issue resolution.
• Solid grasp of core SRE principles, high availability architectures, capacity planning, incident management, and Business Continuity / Disaster Recovery procedures.
• Experience managing GPU-powered infrastructure for artificial intelligence or machine learning applications is preferred.
• Direct expertise in Kubernetes administration, cluster operations, pod scaling, workload management, and production troubleshooting.
• Foundational knowledge of network protocols, performance tuning, and distributed systems architecture.
• Willingness to join on-call rotations, providing after-hours and weekend operational coverage.
• Self-starter mindset with strong adaptability, continuous learning drive, and time management skills.
• Fluent in English, with knowledge of Chinese considered a beneficial asset.