Principal Site Reliability Engineer (SRE)
Oracle
About the role
Our Team
Building off our Cloud momentum, Oracle has formed a new organization – Oracle Health Data, Analytics Platform. This team focuses on product development and strategy for Oracle Health, building a complete platform that supports modernized, automated healthcare. It is a net‑new line of business with an entrepreneurial spirit, aiming to become a world‑class engineering center.
About the Job
The Principal Site Reliability Engineer (SRE) provides technical leadership for the core data platforms behind Oracle Health’s Data & Analytics Platform. You will own shared, mission‑critical systems used by multiple products and teams, leading the design and operation of large‑scale, stateful distributed platforms (Hadoop ecosystem components, Kafka, Storm) deployed on Oracle Big Data Service and managed via Ansible‑ and Terraform‑based automation.
What You'll Do
Platform Ownership & Technical Leadership
- Own end‑to‑end reliability, scalability, and operability of shared data platforms
- Define platform standards, architectural direction, and operational guardrails
- Influence cross‑team technical decisions and long‑term platform strategy
- Drive platform evolution and reliability strategy across the data ecosystem
Architecture & Design
- Lead platform architecture and design reviews
- Clearly articulate system behavior, dependencies, and failure modes
- Make principled trade‑offs between reliability, performance, cost, and complexity
- Provide guidance and guardrails enabling downstream teams to use platforms safely
Operations Engineering
- Establish capacity models, scaling strategies, and operational best practices
- Design platforms that behave predictably under load, failure, and change
- Own platform lifecycle events: upgrades, expansions, decommissioning, and recovery
Distributed Systems Expertise
- Operate and evolve stateful distributed systems where data placement, replication, and recovery are critical
- Reason about failure modes such as backpressure, rebalancing, region movement, replication lag, and rolling upgrades
Security
- Operate and maintain Kerberized platforms, including authentication, authorization, and secure service‑to‑service communication
- Treat security as a first‑class architectural concern
Automation
- Design and evolve an Ansible‑ and Terraform‑driven automation framework
- Treat automation as production software: versioned, reviewed, tested, and improved
- Eliminate operational toil by encoding reliability and safety into the platform
Incident Leadership & Prevention
- Serve as the ultimate escalation point for complex or ambiguous incidents
- Focus on eliminating entire classes of failure, not just resolving individual issues
Representation
- Represent SRE and platform engineering in high‑visibility and sensitive forums
- Communicate clearly with engineering leadership and partner teams
Responsibilities
The team operates within the Oracle Health Data & Analytics Platform, supporting the core product HealtheIntent. You will manage the big‑data and streaming infrastructure that enables downstream teams to deliver reliable customer‑facing solutions at scale while continuously improving operability and efficiency.
Required Experience
- 8+ years operating large‑scale, customer‑facing distributed platforms
- Deep experience with HDFS, YARN, HBase, Kafka, Storm, or similar systems
- Strong background in Linux, networking, and distributed‑system troubleshooting
- Infrastructure‑as‑Code using Ansible and Terraform
- Scripting and automation using Python, Ruby, and Bash
- Hands‑on experience operating Kerberized environments
- Proven ability to define and document technical architecture for complex systems
- Demonstrated ownership of shared platforms with broad blast radius and multiple downstream consumers
- Experience designing observability and capacity models for distributed platforms
Required Qualifications
- U.S. Citizenship and eligibility for a Federal Security Clearance
- 10+ years of technical experience relevant to this position
- Ability to communicate effectively and build rapport with team members
- BS or MS in Computer Science, or equivalent
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 for salaried employees; accrued vacation for others (13 days/year first 3 years, 18 days thereafter)
- 11 paid holidays
- Paid sick leave: 72 hours upon hire, refreshed each calendar year (carry‑over up to 112 hours)
- Paid parental leave
- Adoption assistance
- Employee Stock Purchase Plan
- Financial planning and group legal services
- Voluntary benefits including auto, homeowner, and pet insurance
Disclaimer
Certain US customer or client‑facing roles may be required to comply with applicable requirements, such as immunization and occupational health mandates.
Range and benefit information provided in this posting are specific to the stated locations only.
US hiring range: $86,400 – $199,500 per annum, may be eligible for bonus and equity.
Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability, protected veteran status, or any other characteristic protected by law.
Requirements
- U.S. Citizenship and eligibility for a Federal Security Clearance
- 10+ years of technical experience relevant to this position
- Ability to communicate effectively and build rapport with team members
- BS or MS in Computer Science, or equivalent
Responsibilities
- Own the end-to-end reliability, scalability, and operability of shared data platforms
- Define platform standards, architectural direction, and operational guardrails
- Influence cross-team technical decisions and long-term platform strategy
- Drive long-term platform evolution and influence reliability strategy across the data ecosystem
- Lead platform architecture and design reviews
- Clearly articulate system behavior, dependencies, and failure modes
- Make principled trade-offs between reliability, performance, cost, and complexity
- Provide guidance and guardrails that enable downstream teams to use platforms safely and effectively
- Establish capacity models, scaling strategies, and operational best practices
- Design platforms that behave predictably under load, failure, and change
- Own platform lifecycle events: upgrades, expansions, decommissioning, and recovery
- Operate and evolve stateful distributed systems where data placement, replication, and recovery are critical
- Reason about failure modes such as backpressure, rebalancing, region movement, replication lag, and rolling upgrades
- Operate and maintain Kerberized platforms, including authentication, authorization, and secure service-to-service communication
- Treat security as a first-class architectural concern
- Design and evolve an Ansible- and Terraform-driven automation framework
- Treat automation as production software: versioned, reviewed, tested, and improved
- Eliminate operational toil by encoding reliability and safety into the platform
- Serve as the ultimate escalation point for complex or ambiguous incidents
- Focus on eliminating entire classes of failure, not just resolving individual issues
- Represent SRE and platform engineering in high-visibility and sensitive forums
- Communicate clearly with engineering leadership and partner teams
- We operate the big data and streaming infrastructure that enables downstream teams to deliver reliable customer-facing solutions at scale, while continuously improving operability and efficiency.
Benefits
Skills
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