• Will apply Site Reliability Engineering principles in complex cloud environments on AWS, contributing to the automation of operational tasks, incident management, and continuous improvement of the platform. • The role includes overseeing monitoring and observability, defining SLOs/SLIs, supporting release processes, and collaborating with development teams to reduce toil and increase service resilience.

Role Description Join Oracle's Health Data Intelligence (HDI) team as a Software Engineer 4, focused on Site Reliability Engineering for large-scale healthcare analytics platforms. In this role, you will: - Design, build, and operate highly reliable, scalable infrastructure and data pipelines that power mission-critical analytics globally. - Contribute to the next evolution of cloud operations by advancing automation, observability, and AI-assisted reliability practices. - Explore the use of Generative AI and intelligent automation to improve incident response, system resilience, and operational efficiency. - Work within a collaborative team to deliver robust solutions that handle massive datasets with precision and performance. - Continuously improve system reliability and operational excellence. U.S. citizenship is required for this position, as the successful candidate will be required to obtain (and maintain) a U.S. government security clearance after hire. Qualifications - 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. - Hands-on experience applying Generative AI or Agentic AI (e.g., LangChain, AutoGPT, custom agents). - Ability to design or integrate AI-driven workflows for operational efficiency and reliability. - Familiarity with building or integrating autonomous agents for DevOps/SRE use cases. - Strong experience with multi-cloud environments (OCI, AWS/Azure). - Deep understanding of cloud infrastructure design, deployment, and resource optimization. - Experience managing hybrid or cross-cloud architectures. - Advanced competency in CI/CD pipelines (Jenkins, Kubernetes). - Infrastructure as Code (Terraform). - Observability tools (Prometheus, Grafana). - Strong focus on automation-first operations. - Proficiency in Data Warehousing platforms (e.g., Vertica, Snowflake). - Experience with ETL frameworks and large-scale data processing. - Understanding of columnar storage systems. - Experience supporting or integrating BI tools (Tableau, Power BI, Oracle Analytics). - Strong proficiency in Python, Java, or Go. - Experience with Docker, Kubernetes, and shell scripting. - Strong troubleshooting skills with ability to perform root-cause analysis. - Experience resolving complex production issues in distributed systems. Benefits - Competitive benefits that support our people with flexible medical, life insurance, and retirement options. - Encouragement for employees to give back to their communities through volunteer programs. Company Description Only Oracle brings together the data, infrastructure, applications, and expertise to power everything from industry innovations to life-saving care. With AI embedded across our products and services, we help customers turn that promise into a better future for all. True innovation starts when everyone is empowered to contribute. We’re committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing accommodation-request_mb@oracle.com or by calling 1-888-404-2494 in the United States. Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law.

• Build and maintain testnets and test automation for components of the Monad blockchain • Prototype new deployment patterns across validator and full-node topologies • Design and run performance benchmarks and load tests to surface bottlenecks before they reach production • Drive observability, alerting, and security across the stack • Define best practices for node operators & support them • Develop tooling for internal & external use • Participate in on-call rotation for production support

• Ensure global coverage of our products. • Responsible for ensuring all engineering teams have a first class development experience. • Drive roll out of Docker/Kubernetes across all engineering workstations. • Ensure top-notch observability setup is in place. • Provide engineering support across all products. • Work with the Architecture team for product development direction. • Participate in post-incident reviews.