Senior Cloud Infrastructure Engineer – Data-Plane & HPC

Oracle

Seattle (WA)

On-site

USD 190,000 - 230,000

Full time

9 days ago

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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.

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