Senior Site Reliability Engineer (SRE)

Responsibilities

• We are looking for an experienced Site Reliability Engineer who is passionate about building reliable, scalable, and automated infrastructure to support mission-critical platform services.
• Ensure the reliability, availability, and operational excellence of critical platform services and infrastructure.
• Design, deploy, maintain, and optimize cloud-native infrastructure based on Kubernetes and Docker.
• Build and improve observability systems including monitoring, alerting, logging, and distributed tracing.
• Participate in architecture reviews and provide reliability-focused recommendations for high-concurrency, low-latency distributed systems.
• Develop and maintain CI/CD pipelines to improve engineering productivity and deployment quality.
• Lead capacity planning, performance tuning, disaster recovery planning, and resilience engineering initiatives.
• Drive Infrastructure as Code (IaC) adoption and automation to reduce operational overhead and human error.
• Define and continuously improve SLI/SLO/SLA frameworks across critical services.
• Participate in incident response, root cause analysis (RCA), and postmortem reviews for production issues.
• Collaborate closely with engineering, QA, product, and security teams to continuously improve platform reliability, scalability, and efficiency.
• Leverage AI-powered tools (e.g., Cursor, Claude Code, ChatGPT) to enhance operational automation, troubleshooting, and productivity.

Requirements

• Must-Have Skills
• Bachelor's degree or above in Computer Science or a related field.
• 5+ years of experience in SRE, DevOps, Infrastructure Engineering, or related roles.
• Strong knowledge of Linux systems and performance optimization.
• Proficiency in at least one programming language such as Go, Python, Java, or Rust.
• Hands-on experience with Kubernetes, Docker, and cloud-native ecosystems.
• Experience with CI/CD tools such as GitHub Actions, GitLab CI, or Jenkins.
• Solid understanding of networking fundamentals including TCP/IP, HTTP, and WebSocket.
• Strong troubleshooting, performance analysis, and capacity planning skills.
• Experience building automation tools and operational platforms.
• Demonstrated proficiency in AI-assisted development and operations tools such as Cursor and Claude Code.
• Technical Stack
• Container Platforms
• Kubernetes
• Docker
• Observability
• Prometheus
• Grafana
• Loki
• ELK
• OpenTelemetry
• Messaging Systems
• Kafka
• RocketMQ
• Redis
• Databases
• MySQL
• PostgreSQL
• ClickHouse
• Time-Series Databases
• Infrastructure Automation
• Terraform
• Ansible
• Helm
• Cloud Platforms
• AWS
• GCP
• Alibaba Cloud
• Tencent Cloud
• CI/CD
• GitHub Actions
• GitLab CI
• Jenkins
• Preferred Experience
• Experience in large-scale internet, SaaS, fintech, e-commerce, or mission-critical platform environments.
• Experience supporting high-concurrency distributed systems.
• Strong understanding of distributed system architecture, scalability, and reliability engineering principles.
• Experience operating multi-region or multi-datacenter infrastructure.
• Experience managing large-scale Kubernetes clusters (1,000+ nodes).
• Hands-on experience with Service Mesh technologies (e.g., Istio) and OpenTelemetry.
• Expertise in Kafka, ClickHouse, and large-scale distributed system optimization.
• Experience implementing Chaos Engineering practices.
• Strong background in incident management and large-scale production recovery.
• Experience with AIOps, intelligent alerting, and automated fault diagnosis systems.

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Company Intel

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