Site Reliability Engineer

JOB SUMMARY The Site Reliability Engineering group within Enterprise Infrastructure combines Operations Excellence with the Development Experience to deliver services at high scale, high availability with resilience by using automation and Infrastructure Code. This role involves building reliability into the ecosystem by applying standard methodologies in Resiliency Engineering, Automation, Observability & Chaos Testing. The team seeks an engineer with a background in systems thinking and experience scaling through production insights, operational automation, developer guidance, and real-time metrics. Key Responsibilities - Deploying and supporting highly distributed multi-tiered systems at scale. - Building and operating highly resilient platforms in AWS cloud environments. - Implementing operational automation. - Providing developer guidance. - Implementing real-time metrics. - Operating and implementing distributed & highly concurrent service-based systems. - Automating with various scripting languages (e.g., Python, Shell scripting). - Managing systems using infrastructure as code tools (e.g., IAM, ARM, Terraform, Chef). - Implementing CI/CD pipelines. - Operating and implementing monitoring, logging, and alerting services of distributed systems. - Maintaining scalability and resiliency of complex environments. - Implementing advanced observability practices and techniques at scale. - Applying modern monitoring tools (e.g., DataDog, Prometheus, Splunk). - Triaging, completing root cause analysis, and making decisive actions under pressure. - Managing and interpreting large datasets using query languages and visualization tools. - Communicating effectively with both technical and non-technical audiences. - Learning new software, methods, and practices. - Working constructively and collaboratively with diverse individuals and groups. Required Qualifications - Bachelors degree or equivalent experience or higher in a technology related field (e.g. Engineering, Computer Science, etc.). - 5 years of hands-on experience deploying and/or supporting highly distributed multi-tiered systems at scale. - 1-2 years of experience in Cloud development (AWS) and migration skills. - 2-4 years of experience in software development with Python, NodeJS, or Java with a focus on SDLC and automation. - Hands-on experience with container orchestration. - Experience operating and implementing distributed & highly concurrent service-based systems. - Ability to automate with various scripting languages (Python, Shell scripting, etc). - Experience managing systems using infrastructure as code tools (e.g., IAM, ARM, Terraform, Chef). - Solid understanding of Cloud Computing and DevOps concepts including CI/CD pipelines. - Hands-on Kubernetes skills and knowledge. - Hands-on experience with one or more observability tools (e.g., Prometheus, Grafana, ELK/OpenSearch, OpenTelemetry, Datadog). - Experienced in Instrumentation with systems skills on building and operating, monitoring, logging, alerting services of distributed systems at scale. - Proven experience in maintaining scalability and resiliency of complex environments. - Proven experience in implementing advanced observability practices and techniques at scale. - Demonstrated ability to apply modern monitoring tools (e.g., DataDog, Prometheus, Splunk). - Ability to triage, complete root cause analysis, and be decisive under pressure. - Experience managing and interpreting large datasets using query languages and visualization tools. - Proficient communication skills with an ability to reach both technical and non-technical audience. - Ability to learn new software, method and practices and bringing them to our developers. - Ability to work with a variety of individuals and groups, both in person and virtually, in a constructive and collaborative manner and build and maintain effective relationships. Preferred Qualifications - Masters degree. Certifications - None specified. Education: Masters Degree