Senior Cloud Infrastructure Engineer – Data-Plane & HPC

Oracle; Seattle (WA); On-site; USD 190,000 - 230,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

Short term disability

Long term disability

Life insurance

AD& D

Supplemental life insurance

Health care and dependent care

Flexible Spending Accounts

Pre-tax commuter and parking benefits

401(k) Savings and Investment Plan

Flexible Vacation

Paid holidays

Paid sick leave

Paid parental leave

Adoption assistance

Employee Stock Purchase Plan

Financial planning and group legal

Voluntary benefits

Job summary

Oracle Seattle is seeking an architected software engineer to envision and drive the design of major data-plane components for Oracle Cloud Infrastructure. You will shape high-performance, large-scale cloud services with deep architectural decisions.

We require self-motivated technical leaders who can tackle challenging systems and performance problems at the data-plane level, with a proven record of guiding large cloud-scale projects and deep knowledge of low-level systems.

Qualifications

• Self-motivated technical leader with deep architectural and systems knowledge.
• Proven track record leading large cloud-scale projects.

Responsibilities

• Design and drive software for major data-plane components of Oracle Cloud Infrastructure.
• Make deep architectural decisions to build high-performance, large-scale cloud services.

Skills

Distributed Systems

Low-level Systems Programming

Data-plane Design

High Performance Computing

Cloud Infrastructure

Software Architecture

Scalability

Analytical Capabilities

Technical Leadership

Agile Methodology

Job description

Oracle Seattle is seeking an architected software engineer to envision and drive the design of major data-plane components for Oracle Cloud Infrastructure. You will shape high-performance, large-scale cloud services with deep architectural decisions.

We require self-motivated technical leaders who can tackle challenging systems and performance problems at the data-plane level, with a proven record of guiding large cloud-scale projects and deep knowledge of low-level systems.