As a Senior Engineering Leader you will lead teams responsible for designing building and operating a scalable efficient and reliable Data and AI Infrastructure Platform across public clouds and Apple data centers. This role will also own and drive key initiatives in cost efficiency business and system observability cost attribution and capacity management.
- 12 years of software development experience in Data and/or AI platform infrastructure with a proven track record of building and operationalizing solutions across AWS Azure GCP and on-premises environments.
- 10 years of engineering management experience including leading mentoring and scaling high-performing technical teams.
- Deep expertise in distributed systems and cloud-native infrastructure including Kubernetes serverless computing and container orchestration.
- Demonstrated success driving data/AI infrastructure cost efficiency through observability attribution and collaboration with service customer and SRE teams.
- Strong leadership in cross-functional collaboration driving alignment across engineering product and business teams to accelerate adoption and execution.
- BS MS or Ph.D. in Computer Science or a related technical field.
- Expertise in AI/ML workload orchestration and scheduling with a focus on optimizing resource allocation for large-scale training inference and data processing leveraging GenAI agents and tools to optimize infrastructure deployment automate efficiency initiatives and enhance developer and operational productivity.
Required Experience:
Manager
As a Senior Engineering Leader you will lead teams responsible for designing building and operating a scalable efficient and reliable Data and AI Infrastructure Platform across public clouds and Apple data centers. This role will also own and drive key initiatives in cost efficiency business and sys...
As a Senior Engineering Leader you will lead teams responsible for designing building and operating a scalable efficient and reliable Data and AI Infrastructure Platform across public clouds and Apple data centers. This role will also own and drive key initiatives in cost efficiency business and system observability cost attribution and capacity management.
- 12 years of software development experience in Data and/or AI platform infrastructure with a proven track record of building and operationalizing solutions across AWS Azure GCP and on-premises environments.
- 10 years of engineering management experience including leading mentoring and scaling high-performing technical teams.
- Deep expertise in distributed systems and cloud-native infrastructure including Kubernetes serverless computing and container orchestration.
- Demonstrated success driving data/AI infrastructure cost efficiency through observability attribution and collaboration with service customer and SRE teams.
- Strong leadership in cross-functional collaboration driving alignment across engineering product and business teams to accelerate adoption and execution.
- BS MS or Ph.D. in Computer Science or a related technical field.
- Expertise in AI/ML workload orchestration and scheduling with a focus on optimizing resource allocation for large-scale training inference and data processing leveraging GenAI agents and tools to optimize infrastructure deployment automate efficiency initiatives and enhance developer and operational productivity.
Required Experience:
Manager
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