Sr. Manager, Site Reliability & Innovation, IT

• 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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