Cloud Operations Engineer
2 weeks ago
Position: Site Reliability Engineer
Location: Remote (hybrid options available)
Employment Type: Full Time
Overview:
The Site Reliability Engineer (SRE) plays a pivotal role in maintaining the stability and robustness of systems through effective automation strategies. This position merges software development and systems engineering to oversee large-scale, fault-tolerant infrastructures, ensuring high availability and adaptability. The SRE is responsible for monitoring system performance, facilitating cloud transformations, and innovating solutions to meet client demands while providing operational support for various distributed software applications.
Key Responsibilities:
- Evaluate performance metrics and fault tolerance indicators
- Work collaboratively with developers to enhance services and conduct testing
- Contribute to system architecture, platform management, and capacity planning
- Balance the speed of feature deployment with system reliability
- Support incident response efforts to restore normal operations
- Demonstrate proficiency in debugging and troubleshooting
- Manage unwanted traffic through investigation and rate-limiting techniques
- Utilize monitoring tools for proactive adjustments and alerts
- Drive continuous improvement initiatives for processes and technology
- Perform additional tasks as assigned
- Bachelor's degree or equivalent professional experience
- 5+ years of experience in a technology or software-related role
- Expertise in Kubernetes, SRE methodologies, and cloud services (GCP)
- Familiarity with monitoring tools such as Dynatrace, New Relic, or SolarWinds
- Skilled in microservices architecture and infrastructure diagnostics
- Experience in deploying, monitoring, and supporting enterprise-level applications
- Proficient in CI/CD tools and performance enhancement techniques
- Strong combination of software engineering and operational support capabilities
- Knowledge of web technologies and tools including Azure DevOps, Dynatrace, Prometheus, Terraform, and Grafana
- Experience with Grafana
- Familiarity with Splunk
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