Site Reliability Engineer (SRE)
AI Summary
Our client is an innovative technology company operating large-scale cloud and edge infrastructure supporting AI-driven products and services. As the platform continues to expand, they are looking for a Site Reliability Engineer to help build highly reliable, observable, and secure systems that power mission-critical applications.
About this role
Our client is an innovative technology company operating large-scale cloud and edge infrastructure supporting AI-driven products and services. As the platform continues to expand, they are looking for a Site Reliability Engineer to help build highly reliable, observable, and secure systems that power mission-critical applications.
This role offers the opportunity to work across cloud infrastructure, Kubernetes, observability, security, automation, and emerging AI operational platforms in a fast-growing environment.
What you will do:
Reliability & Observability
- Design and maintain monitoring, alerting, and dashboarding systems across cloud and edge environments.
- Build visibility into system health through metrics, logs, traces, and performance analytics.
- Define and manage SLIs, SLOs, and service reliability targets.
- Develop proactive monitoring and anomaly detection capabilities to identify issues before they impact users.
- Deploy, manage, and optimize containerized workloads running on Kubernetes.
- Maintain scalable cloud infrastructure across production environments.
- Improve system performance, availability, and operational efficiency.
- Support infrastructure provisioning through Infrastructure-as-Code practices.
- Implement secure access controls and audit mechanisms across infrastructure environments.
- Monitor for cybersecurity threats, unauthorized access attempts, and service disruptions.
- Develop alerting and response procedures for security-related incidents.
- Contribute to operational security best practices and governance initiatives.
- Automate repetitive operational tasks to reduce manual effort and improve reliability.
- Build tooling and scripts to streamline infrastructure operations.
- Support CI/CD workflows and deployment automation.
- Promote documentation, operational standards, and continuous improvement.
- Participate in on-call rotations and incident management.
- Lead troubleshooting efforts during production incidents.
- Conduct root-cause analysis and post-mortem reviews.
- Drive long-term improvements that enhance system resilience.
- Work closely with software, AI, machine learning, hardware, and product teams.
- Ensure new services are production-ready with appropriate monitoring, security, and reliability measures.
- Support the operational needs of both cloud-based and distributed edge computing environments.
