Job description
As a Senior Site Reliability Engineer, you will play a pivotal role in building and operating the Oracle HealthPatient Portal. In this role, you will design, build, and operate highly reliable, scalable infrastructure that supports Commercial and Federal customers. You will also contribute to the next evolution of cloud operations by advancing automation, observability, and AI-assisted reliability practices. You will work within a globally distributed team to deliver robust solutions that handle massive load by the end users with precision and performance, while continuously improving system reliability and operational excellence. Required Skills Infrastructure & Reliability Experience building and operating high-availability, fault-tolerant systems Strong understanding of distributed systems, performance monitoring, and resiliency patterns Experience with incident response, root-cause analysis, and production troubleshooting Cloud Ecosystems Experience with one or more cloud environments OCI, AWS/Azure DevOps/SRE Practices Advanced competency in CI/CD pipelines (Jenkins, Kubernetes) Infrastructure as Code (Terraform) Observability tools (Prometheus, Grafana) Strong focus on automation-first operations Data Technologies • Proficiency in Data Warehousing platforms (e.g., Vertica, Snowflake) • Experience with ETL frameworks and large-scale data processing • Understanding of columnar storage systems Programming & Tools Proficiency in Python, Java, or Go Experience with Docker, Kubernetes, and shell scripting Problem-Solving Strong troubleshooting skills with ability to perform root-cause analysis Experience resolving complex production issues in distributed systems Operational Excellence Apply DevOps/SRE practices to automate deployments and operations Enhance observability using Prometheus/Grafana and AI-driven insights Incident Response Participate in on-call rotations Implement preventative and automated remediation solutions Collaboration Work closely with engineers to execute technical roadmaps Contribute to code reviews and infrastructure improvements What You Bring 7+ years of software engineering, cloud infrastructure, SRE, or DevOps experience Proven ownership of production system reliability in cloud environments Core Expertise Cloud infrastructure design and automation Distributed systems and performance optimization Data warehousing and ETL frameworks Technical Skills Terraform, Docker, Kubernetes Observability stacks (Prometheus, Grafana) Python, Java, or Go Additional Strengths Strong problem-solving mindset with a focus on automation and scalability Experience improving system reliability through intelligent automation Preferred Qualifications Experience in healthcare or regulated environments (HIPAA, compliance frameworks) Experience working in environments requiring security clearance Experience building self-healing or autonomous infrastructure systems • Work with the Site Reliability Engineering (SRE) team to take shared ownership of services and platform components. Develop a strong understanding of end-to-end system architecture, dependencies, and production behavior. • Design, build, and operate reliable, scalable, and secure infrastructure supporting large-scale distributed systems • Improve system reliability through automation, monitoring, and performance optimization • Contribute to the adoption of AI-assisted approaches for operations, including: Enhancing observability and alerting Supporting automated incident detection and remediation Exploring intelligent automation for infrastructure lifecycle management • Partner with development teams to enhance service architecture, scalability, and operability • Participate in on-call rotations and act as an escalation point for complex production issues • Perform root cause analysis and implement long-term fixes to prevent recurrence • Apply knowledge of distributed systems to troubleshoot issues and optimize system performance • Drive continuous improvement in DevOps/SRE practices, including CI/CD, Infrastructure as Code, and automation at scale