Staff SRE Engineer

This is a fully remote position, open to applicants in Taiwan.

📋 Description

• Oversee and sustain container orchestration platforms as well as containerized workloads.

• Monitor and resolve issues in production systems, taking part in on-call rotations to ensure system reliability.

• Propel improvements in observability by upgrading monitoring, logging, and alerting functionalities across systems and data platforms.

• Manage and enhance cloud-based environments across various service providers.

• Support and administer distributed data platforms and real-time processing systems.

• Create and uphold continuous integration and delivery pipelines for efficient and dependable deployments.

• Lead and apply Infrastructure as Code (IaC) practices to guarantee consistency and scalability.

• Automate and orchestrate infrastructure using programming and scripting languages.

• Conduct system administration and networking tasks to aid both internal and external environments.

• Collaborate effectively with engineers and stakeholders across different time zones.

⛳️ Requirements

• Minimum of 5 years of experience in Site Reliability Engineering, DevOps, or Platform Engineering roles.

• Proven track record in managing large-scale production systems within cloud environments (AWS, GCP, Azure, or OCI).

• Demonstrated leadership in directing incident response, establishing on-call best practices, and fostering a reliability-focused culture.

• Strong background in production on-call operations and incident management.

• Advanced skills in Kubernetes administration and troubleshooting.

• Practical experience with observability tools such as Prometheus, Grafana, Loki, and Alertmanager.

• Familiarity with chat-based operational interfaces and/or auto-remediation controllers using AI agentic frameworks.

• Understanding of AI agents for auto-triaging alerts, correlating signals, and suggesting/root-cause hypotheses.

• Expertise in managing data platforms including Elasticsearch, MongoDB, Spark, Kafka, and Redis.

• Proficiency in public cloud services (AWS, Azure, GCP, or OCI).

• Strong programming and automation capabilities in Python and Bash.

• In-depth knowledge of Infrastructure as Code tools (Terraform, Helm).

• Experience with CI/CD pipelines (GitHub Actions, Bitbucket, ArgoCD).

• Solid technical foundation in distributed systems, databases, networking, and Linux administration.

• Excellent problem-solving, communication, and leadership skills.

• Bachelor’s degree in Computer Science, Engineering, or a related technical discipline.

• Certifications in AWS, GCP, Observability, Linux, or Kubernetes are advantageous.

🏝️ Benefits

• Competitive salary and performance-based incentives.

• Comprehensive health and wellness benefits.

• Opportunities for professional development and continuous learning.

• Flexible work hours and remote work options.

• Supportive and inclusive company culture.