Job description
A leading organization is seeking a Senior Site Reliability Engineer (SRE) to strengthen the reliability, observability, and operational maturity of production systems and cloud infrastructure.
The Senior Site Reliability Engineer will focus on Grafana-based observability, service-level objectives, infrastructure automation, incident management, and resilience engineering. The position requires hands-on experience with cloud platforms, preferably GCP, along with Python, infrastructure as code, CI/CD, Kubernetes, and modern telemetry practices.
Responsibilities
Design and improve Grafana dashboards, monitoring, observability, and alerting capabilities.
Establish consistent observability and production reliability practices across engineering teams.
Define and operationalize SLAs, SLOs, SLIs, and service performance metrics .
Improve production availability, system resilience, and overall operational performance.
Develop infrastructure automation and infrastructure-as-code solutions using Terraform, Ansible, or similar technologies .
Integrate reliability and operational practices into CI/CD and DevSecOps workflows .
Support incident management, root cause analysis, capacity planning, and resilience engineering.
Develop automation and operational tooling using Python .
Support containerized workloads and orchestration environments using Kubernetes .
Work with data engineering pipelines and orchestration technologies such as Airflow and Beam .
Implement and enhance logging, distributed tracing, alerting, and end-to-end telemetry.
Explore and support AIOps and AI-enabled SRE capabilities , including anomaly detection, intelligent alerting, incident summarization, and remediation assistance.
Required experience and skills
5+ years of experience in Site Reliability Engineering, Production Engineering, Cloud Engineering, or Infrastructure Engineering.
Strong hands-on experience with Grafana for observability, monitoring, dashboards, and alerting.
Strong background in production operations, system reliability, and availability engineering.
Experience improving observability maturity and operational standards across multiple teams.
Proven experience establishing and managing SLAs, SLOs, SLIs, and service performance metrics .
Hands-on cloud experience, preferably Google Cloud Platform (GCP) .
Experience with infrastructure as code and automation technologies such as Terraform or Ansible .
Experience with CI/CD pipelines and DevSecOps practices .
Strong knowledge of incident management, root cause analysis, capacity planning, and resilience engineering.
Experience developing automation or operational solutions with Python .
Familiarity with Kubernetes and container orchestration.
Familiarity with data engineering pipelines using Airflow and Beam .
Experience with log aggregation, tracing, and end-to-end telemetry ecosystems.
Exposure to AIOps or AI-assisted SRE practices , including intelligent alerting, anomaly detection, incident summarization, or remediation assistance.