Apple is seeking to optimize software services, cloud infrastructure and platforms for maximum efficiency, performance, and cost-effectiveness while ensuring reliability and scalability across diverse workloads.
Requirements
- Solid understanding of Fin-Ops & infrastructure business operations, including billing, cost management, data center capacity management, finance, licensing
- Expert in writing detailed solution specifications, diagrams, best practices/standards documentation, operating procedures, test plans/test reports, etc.
- Experience with cloud native application architectures, including container orchestration Kubernetes, data technologies and traffic management
- Demonstrated competence with GenAI and various LLMs for use in software development and analytic use cases
- Proficient in programming languages such as Python/Java/Go for automation or integration with APIs
- Experience with analyzing and tuning applications for performance, efficiency and cost optimization
- Proficient with Java with a deep understanding of JVM and optimization techniques for performance and efficiency
Responsibilities
- Analyzing application architectures, workload utilization metrics and usage patterns to identify inefficiencies and areas of optimization
- Identifying configurations or architectural changes to make improvements to various components of an application stack or infrastructure
- Understanding operational, business risks, financial impact/benefits related to architecture or configuration changes, required for optimizations
- Developing tools, capabilities to enable stakeholders, partners and development teams to analyze and take action, at scale
- Collaborating and presenting solutions across engineering teams, leadership and stakeholders
Other
- Strong project management skills, including excellent presentation development
- Influential - ability to influence teams and leaders across the company to achieve your vision
- Passion for evangelizing technologies
- Excellent communication skills - must be capable of effectively engaging and leading interactions with cross functional technical and business teams and varying levels of management
- Bachelors or Masters degree in Computer Science or equivalent experience
