Senior Site Reliability Engineer (SRE) - Hybrid

As a Senior Site Reliability Engineer (SRE), you will lead reliability, observability, automation, and operational excellence initiatives for enterprise-scale applications and platforms. This role combines software engineering, infrastructure operations, and AI/ML-driven observability to enhance system reliability, reduce operational toil, and drive automation across mission-critical environments., Design and implement automation solutions that improve operational efficiency and platform reliability. Lead AI/ML-driven observability, anomaly detection, predictive alerting, and AIOps initiatives. Develop scripts, tools, and frameworks to automate infrastructure and operational processes. Expand automation coverage across deployment, monitoring, alerting, and self-healing workflows. Collaborate with engineering, operations, and product teams to improve system availability and performance. Troubleshoot critical production issues and drive root cause analysis and remediation efforts. Build and maintain monitoring dashboards, alerting frameworks, and operational intelligence solutions. Support CI/CD, GitOps, and deployment automation strategies to accelerate software delivery. Conduct capacity planning, performance analysis, and operational readiness assessments. Participate in on-call support and ensure reliable operation of mission-critical systems.

Bachelor’s degree in Computer Science, Engineering, or a related technical field. 6-8 years of experience supporting and administering enterprise-scale production environments. 6-8 years of experience developing automation scripts, monitoring solutions, dashboards, and alerting frameworks. Strong experience with Linux and Windows system administration, troubleshooting, tuning, and deployments. Proficiency in one or more programming languages including Python, PowerShell, Java, .NET, or Bash. Experience with cloud platforms, application deployments, migrations, and high-availability architectures. Knowledge of networking concepts including DNS, DHCP, firewalls, routing, and distributed systems. Experience with observability tools such as Splunk, AppDynamics, or similar monitoring platforms. Strong understanding of databases and messaging technologies including SQL, Oracle, MongoDB, Kafka, RabbitMQ, Solace, or IBM MQ. Proven experience applying AI/ML, AIOps, predictive alerting, or ML-driven observability solutions in production environments. The hourly range for roles of this nature are $60.00 to $80.00/hr. Rates are heavily dependent on skills, experience, location, and industry. cyberThink is an Equal Opportunity Employer.