Site Reliability Engineer (Chicago)

***Hybrid, 3 days onsite, 2 days remote*** ***We are unable to sponsor as this is a permanent full-time role*** A prestigious company is looking for a Site Reliability Engineer. This role is focused on observation, logging, and capacity planning. This engineer will need experience/exposure to Linux systems, Kubernetes/Docker, Terraform, Jenkins, Ansible, Harness, and Kafka. Responsibilities: Collaborate with development, operations and infrastructure teams to ensure availability of services, and to work through implementation issues Develop automation for incident response and to prevent problem recurrence Create and enhance runbooks to respond to service outages or degradations Assess the production readiness of services Define and track operational metrics for production performance, reliability, scalability and availability Architect, develop and maintain shared services and tools to improve reliability and reduce toil across the organization Qualifications: Bachelors or Masters Degrees in Computer Science, Information Systems or other related field, or equivalent work experience Minimum of 4+ years of experience in Site Reliability Engineering / DevOps Experience with maintaining and troubleshooting large-scale distributed systems Experience managing infrastructure in public cloud environments like AWS (preferred), Azure or GCP Experience with AIOps and predictive analysis for anomaly detection, forecasting system capacity using monitoring and alerting tools like Splunk, AppDynamics, Datadog, StackDriver, Sysdig, Prometheus or Grafana Programming/scripting experience in languages like Java, Bash, Python or Go Experience with distributed messaging systems like Kafka, RabbitMQ, or ActiveMQ Experience with container orchestration systems like Kubernetes, Mesos, Docker Swarm or Rancher Experience with using Continuous Integration and Continuous Delivery (CI/CD) tools like Jenkins, Travis, Harness, Appveyor, CodeBuild or CodePipeline Familiarity with leveraging large language models (LLMs) to automate and optimize SRE workflows. This may include using AI-powered tools to perform tasks such as, writing scripts, summarizing incident reports, or even creating and maintaining AI workloads.