Senior Site Reliability Engineer

l We are seeking a highly skilled Senior Site Reliability Engineer (SRE) to join our dynamic team in Dallas. l In this role, you will be responsible for enhancing the reliability and performance of our systems through innovative solutions and best practices. l You will lead incident response efforts, automate operational workflows, and partner with development teams to embed reliability principles into the software development lifecycle (SDLC). WHAT YOU’LL DO: l Lead incident response, post-mortem reviews, and blameless retrospectives to drive continuous improvement. l Automate operational workflows, deployments, and self-healing mechanisms to enhance system reliability. l Collaborate with development teams to integrate reliability principles early in the SDLC (shift-left reliability). l Implement and operate AIOps platforms (e.g., Dynatrace, Moogsoft, BigPanda, Splunk ITSI) for intelligent noise reduction, anomaly detection, and event correlation. l Build end-to-end observability using metrics, logs, traces, and synthetic monitoring tools (Prometheus, Grafana, OpenTelemetry, Datadog, ELK Stack). l Train ML models or leverage pre-built AIOps capabilities to predict incidents, detect performance degradation, and identify root causes. l Integrate AIOps tools with ITSM platforms (Remedy, Jira) for automated ticket creation and routing. l Establish event correlation and intelligent alerting strategies to minimize alert noise and reduce Mean Time to Recovery (MTTR). l Enable predictive capacity planning using historical telemetry and forecasting models. l Define and enforce Service Level Objectives (SLOs), Service Level Indicators (SLIs), and Error Budgets across critical services and platforms

l 5+ years of experience in Site Reliability Engineering, DevOps, or Platform Engineering. l 2+ years of hands-on experience with AIOps tools and observability platforms. l Experience with LLM-based operations assistants or generative AI for incident management. l Experience with cloud platforms: AWS, Azure, or GCP (certifications a plus). l Proficiency in at least one scripting/programming language: Python, Go, or Java. l Experience with CI/CD tools: Jenkins, GitHub Actions, ArgoCD, Tekton. l Familiarity with data pipelines and ML model integration in an operational contex PREFERRED SKILLS: l Experience in building and maintaining large-scale distributed systems. l Strong analytical and problem-solving skills. l Excellent communication and collaboration abilities. l Experience with container orchestration tools (e.g., Kubernetes, Docker). l Expertise You’ll Bring: Your expertise in Site Reliability Engineering and AIOps will be crucial in driving our mission to enhance system reliability and performance. l You will play a key role in fostering a culture of continuous improvement and operational excellence within our organization.