Site Reliability Engineer III - Python, Grafana, Splunk, AWS, Jenkins

Own configuration, maintenance, monitoring, and optimization of applications and cloud infrastructure using code and automation to improve reliability and scalability.

Collaborate with software engineers and stakeholders to design and implement deployment and reliability solutions via CI/CD pipelines and infrastructure as code.

Apply and validate enterprise-authorized AI tools for incident triage, troubleshooting, and post-incident analysis to proactively manage service level objectives and operational risks.

3+ years of applied experience with formal training or certification in site reliability engineering concepts.

Proficiency in Python and experience with Grafana, Splunk, AWS, Jenkins, Terraform, Prometheus, CICD tools, and monitoring/observability practices.

Ability to use and validate AI-assisted operational workflows with a strong understanding of data sensitivity requirements.

Work Experience Required: 3+ years in site reliability engineering or related roles.

Experienced in implementing site reliability engineering principles independently and guiding team consensus on design and best practices.

Comfortable collaborating across technical teams to develop automated, scalable infrastructure solutions and improve service reliability.

Competent in leveraging AI capabilities within enterprise environments to enhance operational efficiency and proactive problem resolution.