Site Reliability Engineer

Site Reliability Engineer Hybrid (3 days onsite, 2 days remote) full‑time. No visa sponsorship. Base pay: $150,000 – $155,000 per year, subject to skills and experience. A prestigious company seeks a Site Reliability Engineer focused on observation, logging, and capacity planning. The role requires experience with Linux, 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 Bachelor’s or Master’s Degrees in Computer Science, Information Systems or another 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 such as Kafka, RabbitMQ, or ActiveMQ Experience with container orchestration systems such as Kubernetes, Mesos, Docker Swarm or Rancher Experience with CI/CD tools such as Jenkins, Travis, Harness, Appveyor, CodeBuild or CodePipeline Familiarity with leveraging large language models (LLMs) to automate and optimize SRE workflows, including scripting, incident report summarization, or AI workload maintenance Seniority Level Mid‑Senior #J-18808-Ljbffr