Senior AI Site Reliability Developer 3

As a Senior AI Site Reliability Engineer, you will play a pivotal role in building and operating the next-generation, AI-first Electronic Health Record platform. 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, including exploring Generative AI and intelligent automation to improve incident response, system resilience, and operational efficiency.

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.

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 and maintain the Oracle HDI Analytics Platform, ensuring system uptime, reliability, and scalability.
• Design and implement GenAI-powered or agent-based solutions for observability, anomaly detection, incident triage, remediation, and infrastructure provisioning.
• Build tools and frameworks that enable self-service and autonomous operations.
• Build and optimize scalable data pipelines using Vertica and ETL frameworks.
• Apply DevOps/SRE practices to automate deployments and operations, enhancing observability using Prometheus/Grafana and AI-driven insights.
• Support multi-cloud initiatives across OCI, AWS, and Azure, optimizing cost, performance, and compliance.
• Implement preventative and automated remediation solutions.
• Work closely with engineers to execute technical roadmaps, contributing to code reviews and infrastructure improvements.

Requirements

• 4+ years of software engineering, cloud infrastructure, SRE, or DevOps experience.
• Proven ownership of production system reliability in cloud environments.
• Core expertise in:
  • Cloud infrastructure design and automation
  • Distributed systems and performance optimization
  • Data warehousing and ETL frameworks
• 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.
• Strong proficiency in:
  • Terraform, Docker, Kubernetes
  • Observability stacks (Prometheus, Grafana)
  • Python, Java, or Go
• Strong problem-solving mindset with a focus on automation and scalability.
• Experience improving system reliability through intelligent automation.

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
  • 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.

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.

Pay

US: Hiring Range in USD from: $91,400 - $187,000 per year. May be eligible for bonus and equity.

Benefits

• 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.