Join Oracle's Health Data Intelligence (HDI) team as a Software Engineer 3, 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. You will also contribute to the next evolution of cloud operations by advancing automation, observability, and AI-assisted reliability practices. This includes exploring the use of Generative AI and intelligent automation to improve incident response, system resilience, and operational efficiency. You will work within a collaborative team to deliver robust solutions that handle massive datasets with precision and performance, while continuously improving 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.
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
AI-Native Engineering (NEW)
Hands-on experience applying Generative AI or Agentic AI (e.g., LangChain, AutoGPT, custom agents) to:
- Infrastructure lifecycle management
- Observability and anomaly detection
- Incident response and remediation automation
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
Cloud & Multi-Cloud Ecosystems
- 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
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
BI & Reporting
- Experience supporting or integrating BI tools (Tableau, Power BI, Oracle Analytics)
Programming & Tools
- Strong 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
Responsibilities
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 analytics workloads
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
Develop & Maintain
- Implement and optimize infrastructure for Oracle HDI Analytics Platform
- Ensure system uptime, reliability, and scalability
AI-Driven Automation (NEW)
Design and implement GenAI-powered or agent-based solutions for:
- Observability and anomaly detection
- Incident triage and remediation
- Infrastructure provisioning and lifecycle management
Build tools and frameworks that enable self-service and autonomous operations
Data Pipeline Execution
- Build and optimize scalable data pipelines using Vertica and ETL frameworks
Operational Excellence
- Apply DevOps/SRE practices to automate deployments and operations
- Enhance observability using Prometheus/Grafana and AI-driven insights
Cloud Integration
- Support multi-cloud initiatives across OCI, AWS, and Azure
- Optimize cost, performance, and compliance across environments
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
- 8+ years of software engineering experience, with 5+ years in cloud infrastructure, SRE, or DevOps
- 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
AI-Native Experience
- Demonstrated experience applying GenAI / LLMs / agentic frameworks to infrastructure or operations
- Experience building or integrating AI-powered automation for DevOps/SRE workflows
- Familiarity with tools like LangChain, AutoGPT, or custom AI agents
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)
- Familiarity with Oracle HDI or large-scale analytics platforms
- Experience working in environments requiring security clearance
- Experience building self-healing or autonomous infrastructure systems
Why Join Oracle HDI?
- Own and shape AI-native SRE and automation strategy for a mission-critical platform
- Work on large-scale, data-intensive healthcare systems
- Be part of Oracle’s investment in AI-driven infrastructure and healthcare innovation
- Build the future of autonomous, self-healing cloud platforms
- Collaborate with top-tier engineers solving complex, real-world problems
Career Level - IC3
Disclaimer:
Certain U.S. based or U.S. customer or client-facing roles may be required to comply with applicable requirements, such as immunization/occupational health mandates, and/or drug testing requirements.
Range and benefit information provided in this posting are specific to the stated locations only
US: Hiring Range in USD from: $79,100 to $158,200 per annum. May be eligible for bonus and equity.
Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle's differing products, industries and lines of business. Candidates are typically placed into the range based on the preceding factors as well as internal peer equity.
Oracle US offers a comprehensive benefits package which includes the following:
- Medical, dental, and vision insurance, including expert medical opinion
- Short term disability and long term disability
- Life insurance and AD&D
- Supplemental life insurance (Employee/Spouse/Child)
- Health care and dependent care Flexible Spending Accounts
- Pre-tax commuter and parking benefits
- 401(k) Savings and Investment Plan with company match
- Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week, the vacation accrual rate is 13 days annually for the first three years of employment and 18 days annually for subsequent years of employment. Vacation accrual is prorated for employees working between 20 and 34 hours per week. Employees working fewer than 20 hours per week are not eligible for vacation.
- 11 paid holidays
- Paid sick leave: 72 hours of paid sick leave upon date of hire. Refreshes each calendar year. Unused balance will carry over each year up to a maximum cap of 112 hours.
- Paid parental leave
- Adoption assistance
- Employee Stock Purchase Plan
- Financial planning and group legal
- Voluntary benefits including auto, homeowner and pet insurance
The role will generally accept applications for at least three calendar days from the posting date or as long as the job remains posted.
Career Level - IC3