Responsibilities
- Lead and develop a team of software engineers, Site Reliability Engineers (SREs), and technical leaders responsible for the performance, availability, security, reliability, and operational excellence of Oracle Health Federal customer environments.
- Drive the organization's transformation to an SRE-first and DevOps operating model through adoption of Infrastructure as Code (IaC), Configuration as Code, Policy as Code, GitOps, progressive delivery, automated rollback strategies, canary deployments, self-healing infrastructure, and measurable operational toil reduction.
- Build AI-native operational capabilities using Oracle-approved AI technologies and secure data handling practices to accelerate software development, production support, incident response, troubleshooting, change execution, knowledge retrieval, engineering productivity, and customer operations.
- Eliminate repetitive operational work through software engineering, intelligent automation, AI agents, reusable runbooks, validation frameworks, self-service platforms, and exception-based operational workflows.
- Own operational excellence across the complete service lifecycle, including Day 0 platform deployment, Day 1 customer onboarding, and Day 2 production operations, reliability, maintenance, and continuous improvement.
- Establish and continuously improve operational metrics including service availability, reliability, latency, deployment frequency, change success rate, Mean Time to Detect (MTTD), Mean Time to Recover (MTTR), automation coverage, engineering productivity, and customer experience. Use these metrics to prioritize engineering investments and measure organizational progress.
- Partner closely with Product Development, Cloud Infrastructure, Security, Compliance, Customer Success, and Federal stakeholders to ensure AI-enabled operational workflows meet Oracle security standards and regulatory requirements, including FedRAMP, Authority to Operate (ATO), Department of Defense (DoD), Department of Veterans Affairs (VA), HIPAA, and customer-specific compliance obligations.
- Champion adoption of Oracle Cloud Infrastructure (OCI) native capabilities for observability, telemetry, monitoring, alerting, distributed tracing, deployment safety, operational analytics, resilience engineering, and continuous service improvement.
- Lead continuous improvements across incident management, problem management, change management, production readiness, service health reviews, operational governance, and customer escalation management while promoting blameless postmortems and continuous learning.
- Recruit, mentor, coach, and develop engineering managers, technical leads, senior engineers, and SREs, building organizational capabilities in cloud-native engineering, software-driven operations, AI-assisted reliability engineering, and operational excellence.
- Collaborate across Oracle Health AI and Oracle Cloud organizations to establish common engineering standards, reusable automation frameworks, shared operational platforms, and best practices that improve scalability, efficiency, and customer outcomes.
Minimum Qualifications
- Bachelor's degree in Computer Science, Engineering, Information Systems, or a related technical discipline, or equivalent practical experience.
- 8+ years of experience in software engineering, Site Reliability Engineering (SRE), DevOps, platform engineering, production engineering, cloud operations, or related technical leadership roles supporting large-scale, customer-facing cloud services.
- 3+ years of experience leading senior software engineers, SREs, DevOps teams, or production engineering organizations responsible for mission-critical production environments.
- Demonstrated success transforming traditional operations into software-driven, automation-first, and AI-assisted operating models.
- Proven experience eliminating operational toil through software engineering, intelligent automation, Infrastructure as Code, self-service platforms, AI agents, and exception-based operational workflows.
- Experience owning production services across the full operational lifecycle, including platform deployment, customer onboarding, reliability engineering, incident response, change management, and ongoing production support.
- Strong understanding of Site Reliability Engineering principles, including service level objectives (SLOs), service level indicators (SLIs), error budgets, observability, incident management, deployment safety, resilience engineering, disaster recovery, and continuous operational improvement.
- Practical experience implementing AI-assisted engineering, AI-enabled automation, agentic workflows, intelligent operational tooling, or AI-supported engineering productivity solutions.
- Demonstrated ability to evaluate AI adoption pragmatically by balancing automation opportunities with security, compliance, governance, deterministic execution, explainability, and appropriate human oversight.
- Experience operating within regulated, security-sensitive, or high-availability environments, preferably supporting Federal or healthcare customers.
- Strong executive communication, organizational leadership, and stakeholder management skills with the ability to communicate technical strategy, operational risk, engineering investments, and measurable business outcomes.
Preferred Qualifications
- Experience with Oracle Cloud Infrastructure (OCI), Kubernetes, containerized platforms, Infrastructure as Code (Terraform), CI/CD pipelines, and modern observability platforms.
- Experience supporting FedRAMP, DoD, VA, HIPAA, HITRUST, or other regulated cloud environments.
- Experience leading large-scale cloud transformation initiatives and implementing SRE best practices across engineering organizations.
- Proven track record recruiting, mentoring, and developing high-performing engineering leaders while fostering a culture of accountability, operational excellence, innovation, and customer focus.
- Experience leveraging AI and machine learning technologies to improve engineering productivity, operational efficiency, reliability, and customer experience.
Career Level - M3