Principal Site Reliability Engineer
Oracle · Posted Oct 22
Cloud infrastructure, enterprise software, database systems, and AI-powered business applications
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About the role
This Oracle role is for a Principal Site Reliability Engineer in Bengaluru focused on designing and architecting reliable infrastructure and services, forecasting capacity, and collaborating with software development teams. The role covers incident response, service lifecycle management, observability, and automation, including integrating AI/LLM capabilities for incident analysis and operational decision support. It also involves building monitoring, alert correlation, automated remediation workflows, and communicating service health and performance.
What you will do
- Designs and architects infrastructure and/or service according to terms for reliability and functionality.
- Forecasts demands for infrastructure and responds to capacity needs, ensuring systems have sufficient resources to handle current and future workloads and identifying resource gaps.
- Collaborates with the software development team to develop infrastructures, ensuring features are reliable and scalable according to deployment requirements.
- Proactively identifies opportunities for prototyping and drives prototyping initiatives (e.g., testing new applications or infrastructures, assisting in onboarding) to explore novel approaches.
- Exercises judgment when performing data collection, triage, technical analysis, and redirection to maintain and optimize operations and infrastructure reliability.
- Takes proactive steps to monitor services, maintain up-to-date knowledge of their performance, and document their condition.
- Leverages advanced knowledge to perform incident response, root cause analyses, and/or maintenance on assigned services (e.g., software installs, version upgrades, security updates, backup and recovery).
- Provides comprehensive health and performance reporting and takes appropriate actions based on trends in data.
- May perform provisioning to support infrastructure, applications, and services.
- May experiment with new approaches for and performs decommissioning (e.g., shutting down servers, removing data from databases) to remove objects that are no longer needed.
- Identifies and recommends opportunities for automation and assesses potential benefits to enhance operational efficiency.
- Develops and implements design, automation tools, or scripts to provide solutions, gather metrics, monitor, analyze, mitigate, or remediate issues/defects within infrastructures.
- Conducts testing on moderately complex automations to ensure they perform tasks correctly and produce expected results.
- Writes release notes and/or communicates comprehensive information about the scale, capacity, security, performance attributes, and requirements of se...
Skills used in this role
What the employer is looking for
- 5+ years of hands-on experience across software development, site reliability engineering, monitoring, and automation, with demonstrated ownership of production platforms.
- Strong programming skills in Python and experience developing backend services, REST APIs, integrations, and event-driven workflows.
- Proven experience building monitoring and observability solutions that collect and analyze alerts, metrics, logs, and service context.
- Hands-on experience integrating AI/LLM capabilities into applications for incident analysis, contextual recommendations, and operational decision support.
- Ability to develop reusable agents that combine live monitoring data, historical incidents, and previous remediation actions to recommend next steps.
- Experience implementing alert correlation, deduplication, enrichment, and prioritization to reduce noise and improve incident detection.
- Strong experience developing automated remediation workflows with approval controls, execution validation, audit trails, and recovery safeguards.
- Experience integrating monitoring platforms with incident management systems, knowledge repositories, and notification or escalation services.
- Strong understanding of distributed systems, Linux, networking, databases, and application performance, with the ability to translate failure patterns into platform capabilities.
- Experience applying software engineering practices, including automated testing, code reviews, CI/CD, version control, and secure development.
- Ability to evaluate platform reliability and AI output quality, measure operational outcomes, and improve capabilities using engineer feedback.
- Excellent communication and collaboration skills, with the ability to work with monitoring teams, service owners, and engineers to onboard services and define requirements.
Preferred qualifications
- Experience with agentic AI frameworks, tool calling, retrieval-augmented generation, and vector databases.
- Knowledge of anomaly detection, time-series analysis, and predictive techniques for identifying recurring alarm patterns.
- Experience building centralized notification services, automated escalation calls, and incident communication workflows.
- Familiarity with OCI, Kubernetes, and Infrastructure-as-Code tools such as Terraform or Ansible.
- Experience with observability platforms such as OCI Observability, Prometheus, Grafana or equivalent tools.
- Exposure to Oracle Database and Exadata monitoring, performance diagnostics, and remediation automation.
- Experience using AI coding assistants to improve operational scripts and validate proposed changes.
- Knowledge of SLOs, error budgets, and incident metrics such as detection time, recovery time, and recurrence rate.
Benefits and support
- Compensation and benefits are detailed in the job posting
About Oracle
Oracle Corporation is a multinational computer technology company specializing in cloud-engineered hardware, enterprise software, and database management systems. It provides comprehensive cloud solutions such as Oracle Cloud Infrastructure (OCI) and Oracle Cloud Applications (OCA) to power digital transformations globally. Headquartered in Austin, Texas, Oracle is a major player in enterprise AI integration and database solutions.
- Industry
- Cloud Computing
- Company size
- 141000 employees
- Founded
- 1977
- Location
- Austin, Texas, USA
- Funding stage
- Public Company
Funding
Public Company · $56B raised
- 2025-10-24Post IPO Debt$18B
- 2025-02-03Conventional Debt$18B
Leadership
Lawrence J. Ellison
Chairman of the Board and Chief Technology Officer
Clay Magouyrk
Chief Executive Officer
Mike Sicilia
Chief Executive Officer
Hilary Maxson
Chief Financial Officer
Jae Evans
Global Chief Information Officer and Executive Vice President
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