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Oracle is Hiring a Senior Site Reliability Developer - AI Infrastructure Near Seattle, WA

Qualifications:

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: from $79,000 to $158,200 per annum. May be eligible for bonus and equity.

Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle’s differing products, industries and lines of business.
Candidates are typically placed into the range based on the preceding factors as well as internal peer equity.

Oracle US offers a comprehensive benefits package which includes the following:
1. Medical, dental, and vision insurance, including expert medical opinion
2. Short term disability and long term disability
3. Life insurance and AD&D
4. Supplemental life insurance (Employee/Spouse/Child)
5. Health care and dependent care Flexible Spending Accounts
6. Pre-tax commuter and parking benefits
7. 401(k) Savings and Investment Plan with company match
8. 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.
9. 11 paid holidays
10. 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.
11. Paid parental leave
12. Adoption assistance
13. Employee Stock Purchase Plan
14. Financial planning and group legal
15. Voluntary benefits including auto, homeowner and pet insurance

The role will generally accept applications for at least three calendar days from the posting date or as long as the job remains posted.

Responsibilities:

Responsibilities

• Monitor and maintain the health, performance, and availability of our systems and infrastructure.
• Collaborate with development and operations teams to define and implement best practices for system reliability and performance.
• Develop and maintain proactive monitoring, alerting, and incident response systems to detect and resolve issues quickly.
• Participate in quick GPU delivery and improve the availability and quality of the delivered GPU servers.
• Troubleshoot and resolve complex issues related to system performance, scalability, and reliability.
• Automate repetitive tasks and develop tools to improve operational efficiency and productivity.
• Collaborate with cross-functional teams to plan and execute infrastructure changes, upgrades, and deployments.
• Conduct post-incident analysis and identify areas for improvement to prevent future incidents.
• Stay up-to-date with industry trends and emerging technologies in site reliability engineering and apply them to improve our systems and processes.
• Document system configurations, processes, and procedures to ensure knowledge sharing and maintain system integrity.

Requirements

• BS (or equivalent experience) in Computer Science, Engineering, or related field.
• 3-5 years of experience as a Site Reliability Engineer or a similar role, with a focus on system reliability, performance, and scalability.
• Systematic problem-solving approach, strong communication skills, a sense of ownership, and drive.
• Strong knowledge of cloud infrastructure, distributed systems, and network architecture.
• Proficiency in scripting or programming languages such as Python, Go, or Bash.
• Experience with automation and configuration management tools like Terraform, Ansible, or Chef.
• Familiarity with monitoring and alerting tools such as Prometheus or Grafana.
• Strong problem-solving and troubleshooting skills, with the ability to analyze complex systems and identify areas for improvement.
• Excellent communication and collaboration skills, with the ability to work effectively in cross-functional teams.
• Ability to adapt to a fast-paced, dynamic environment and manage multiple tasks and priorities effectively.

Preferred Qualifications

• Experience in Nvidia training technologies (CUDA, NCCL)
• Working familiarity with networking protocols (TCP/IP, UDP, HTTP) and standard network architectures.
• Strong technical knowledge in distributed systems, high performance computing, and GPU systems.
• Experience in AI model training infrastructure.

Job Summary