Software Developer 5 - Performance Engineering

Join the Oracle Health and Analytics Cloud Performance Engineering (PSR) team as a Consulting Member of Technical Staff. In this senior technical position, you will be at the forefront of driving the Performance, Scalability, Availability, and Reliability of Oracle’s mission-critical Cloud Services. 

You will oversee all aspects of the software development lifecycle with a focus on performance, including architecture/design reviews, performance benchmarking and analysis, capacity sizing, and production issue resolution, all aimed at maximizing customer satisfaction and success.

Work is highly complex, requiring advanced technical and business acumen in your area of specialization. As a leading contributor, you will mentor others and provide technical direction to the team.

The team engages across all aspects of software development lifecycle from performance perspective including architecture and design reviews, performance benchmarking and analysis, sizing, production performance resolutions and others to ensure customer satisfaction and success. 

Work is non-routine and very complex, involving the application of advanced technical/business skills in area of specialization. Leading contributor individually and as a team member, providing direction and mentoring to others.

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Scope & Required Experience: (IC5)

As an IC5, you will address challenges with company-wide or industry-wide impact, operating at an expert level.

• 10+ years of software engineering or equivalent experience

• Expertise in Cloud Computing and Enterprise Software Architecture

• Proficiency with Java/J2EE and systems engineering; Python is a plus

• Advanced analytical and problem-solving skills

• Proven experience in microservices architecture and software development

• Hands-on experience with load testing, profiling, and analysis tools

• Strong track record diagnosing and resolving performance, scaling, and stability issues

• Competency in developing software with AI/ML, prompt engineering, NLP, or speech technologies

• Familiarity with modern cloud technologies: Kubernetes, Kafka, caching, ElasticSearch, Big Data, etc.

• Strong knowledge of system technologies: Linux, Docker, virtualisation, compute, networking, etc.

• Bachelor’s or Master’s in Engineering or Computer Science