Oracle is a leading company in AI and cloud solutions, dedicated to powering innovations in healthcare technology. The Site Reliability Engineer will build and operate reliable cloud-native platforms and services, collaborating across teams to ensure system resilience and performance.
Responsibilities:
- Design, build, test, and operate reliable cloud infrastructure, platform capabilities, and services on Oracle Cloud Infrastructure and legacy deployment models
- Partner with software engineering teams to develop scalable, resilient services, APIs, integrations, and distributed systems
- Forecast capacity needs, analyze service trends, and take proactive steps to ensure systems can support current and future workloads
- Monitor service health, availability, latency, performance, and capacity using observability and reporting tools
- Define and maintain meaningful SLIs, SLOs, KPIs, dashboards, alerts, and runbooks for production services
- Improve service resilience through backup and restore validation, disaster recovery planning, secrets handling, patching, and least-privilege access practices
- Participate in incident response, troubleshooting, root cause analysis, postmortems, and follow-up remediation
- Develop automation, scripts, and tooling to support provisioning, deployment, monitoring, metrics collection, mitigation, and remediation
- Support safe release practices, including CI/CD, infrastructure automation, canary or blue-green deployments, rollback planning, and operational readiness reviews
- Investigate and debug issues across applications, infrastructure, services, and dependencies to help teams meet service level objectives
- Identify performance bottlenecks and reliability risks, then recommend and implement improvements
- Collaborate with product managers, architects, engineers, security, operations, and customer teams to deliver secure, customer-focused healthcare solutions
- Support modernization efforts involving cloud-native architectures, healthcare interoperability, large-scale healthcare data platforms, and AI-enabled capabilities
- Communicate service health, operational risks, capacity concerns, and the potential impact of infrastructure, feature, or tooling changes
- Contribute to documentation, runbooks, incident records, operational standards, and knowledge sharing
- Participate in on-call rotations and operational support for production services
Requirements:
- Applicants are required to read, write, and speak the following languages: English
- Does this position require a security clearance?: Yes
- Years: 6 to 10+ years
- Design, build, test, and operate reliable cloud infrastructure, platform capabilities, and services on Oracle Cloud Infrastructure and legacy deployment models
- Partner with software engineering teams to develop scalable, resilient services, APIs, integrations, and distributed systems
- Forecast capacity needs, analyze service trends, and take proactive steps to ensure systems can support current and future workloads
- Monitor service health, availability, latency, performance, and capacity using observability and reporting tools
- Define and maintain meaningful SLIs, SLOs, KPIs, dashboards, alerts, and runbooks for production services
- Improve service resilience through backup and restore validation, disaster recovery planning, secrets handling, patching, and least-privilege access practices
- Participate in incident response, troubleshooting, root cause analysis, postmortems, and follow-up remediation
- Develop automation, scripts, and tooling to support provisioning, deployment, monitoring, metrics collection, mitigation, and remediation
- Support safe release practices, including CI/CD, infrastructure automation, canary or blue-green deployments, rollback planning, and operational readiness reviews
- Investigate and debug issues across applications, infrastructure, services, and dependencies to help teams meet service level objectives
- Identify performance bottlenecks and reliability risks, then recommend and implement improvements
- Collaborate with product managers, architects, engineers, security, operations, and customer teams to deliver secure, customer-focused healthcare solutions
- Support modernization efforts involving cloud-native architectures, healthcare interoperability, large-scale healthcare data platforms, and AI-enabled capabilities
- Communicate service health, operational risks, capacity concerns, and the potential impact of infrastructure, feature, or tooling changes
- Contribute to documentation, runbooks, incident records, operational standards, and knowledge sharing
- Participate in on-call rotations and operational support for production services
- Linux and networking: Processes, filesystems, systemd, DNS, TCP/IP, TLS, HTTP, load balancers, proxies, and basic database behavior
- Kubernetes operations: Deployments, Services/Ingress, ConfigMaps/Secrets, RBAC, resource requests/limits, probes, autoscaling, persistent storage, Helm/Kustomize, container troubleshooting, and effective kubectl troubleshooting
- Cloud and infrastructure-as-code: Oracle Cloud Infrastructure OCI or other cloud experience (AWS, GCP, Azure), IAM, networks, compute, managed Kubernetes, Terraform, and configuration automation such as Ansible
- Delivery engineering: Git, GitHub, container images/registries, CI/CD, safe release practices including canary deployments, blue-green deployments, rollback strategies, operational readiness, and ideally GitOps
- Observability and reliability: Metrics, logs, traces, dashboards, useful alerts, SLIs/SLOs, error budgets, KPIs, incident response, on-call support, runbooks, postmortems, capacity planning, and performance tuning
- Automation: Strong Bash/Shell scripting and Python experience; PowerShell and Go are useful differentiators. Focus on eliminating recurring toil through code, scripting, and repeatable automation
- Security and recovery: Least-privilege access, secrets handling, image/dependency hygiene, patching, vulnerability remediation, backup/restore, and disaster-recovery testing
- Collaboration and communication: Calm incident communication, clear root-cause analysis, collaboration with developers, technical communication, knowledge sharing, and influencing systems toward simpler, safer operations
- Healthcare and data systems are strongly preferred: SQL, healthcare technology operations, healthcare interoperability, and familiarity with FHIR, HL7, or large-scale healthcare data platforms