Requirements

Bachelor's degree, 8-11 years professional experience, Docker, Kubernetes, Python, Shell scripting, Terraform, Linux

Skills

KubernetesTerraformPythonAWSDocker

Design, deploy, and optimize instrumentation for comprehensive monitoring and logging across distributed systems
Architect and implement automation to drive operational efficiency and reduce toil
Lead the support and management of observability platforms including Splunk, Grafana, and Prometheus
Design, build, and maintain CI/CD pipelines for rapid, automated deployments
Oversee and optimize cloud infrastructure on AWS and GCP using Infrastructure as Code
Deploy and manage containerization and orchestration technologies like Docker and Kubernetes
Conduct root cause analysis on major incidents and lead postmortems
Mentor junior SREs and champion DevOps best practices across engineering teams

Bachelor’s degree with 8-11 years of relevant professional experience
Extensive experience with containerization and orchestration (Docker, Kubernetes)
Deep proficiency with observability tools (Splunk, ClickHouse, Grafana, Prometheus, OpenTelemetry)
Strong experience managing CI/CD pipelines and Infrastructure as Code (Terraform, Ansible)
Advanced scripting skills in Python and/or Shell
Solid background in Linux environments and Unix shell scripting

Experience performing upgrades for observability tools like ElasticSearch and OpenSearch
Expertise in configuring exporters for metrics collection
Working knowledge of query languages such as PromQL, MS SQL, or Splunk SPL
GCP or AWS cloud certifications