Enhance software integration workflows to improve efficiency.
Maintain, monitor, and optimize the reliability, scalability, and performance of our cloud-based infrastructure.
Collaborate closely with QA teams to identify and resolve quality engineering challenges, contributing to a seamless and efficient release process.
Develop and implement automated solutions to improve infrastructure and release process.
Bachelor's Degree in Computer Science, an engineering-related field, or equivalent related experience.
3+ years of professional experience and relevant industry experience
Hands-on experience with Python and machine learning/deep learning frameworks such as PyTorch or TensorFlow.
Experience working with a QE team focusing on automation, reliability, and performance engineering.
Experience with container technologies like Docker and container management platforms such as Kubernetes.
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.