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Apple DevOps Engineer United States, Texas, Austin 192392942
21.04.2025
In this role, you will be responsible for building and maintaining our team’s analytics platform and tools. This is a green-field opportunity to define requirements and build solutions to improve the management of overall tech stack. The DevOps Engineer will: Provide strong DevOps leadership to engineering team, project manager, and management. Develop, maintain, and be responsible for the platform health, scaling and planning Developing self-service tools and automating things to improve data engineering efficiency. Visualize and champion the right use of the platform by building intelligent telemetry. Play a critical part in implementing a secure, robust and high availability DevOps pipeline Implement push button deployment at scale with zero downtime Automate build & deployment processes
- 5+ years of experience in DevOps, software engineering
- BS in Computer Science Quantitative Finance, Math, Physics or a related Engineering degree
- Strong expertise in AWS services (EC2, S3, Lambda, RDS, SQS, IAM, etc.).
- Hands-on experience with AI model hosting and container orchestration using Docker and Kubernetes.
- Proficiency in CI/CD tools like Jenkins, GitHub Actions, GitLab CI, or AWS CodePipeline.
- Experience with Infrastructure as Code (IaC) tools such as Terraform or CloudFormation.
- Knowledge of networking, security best practices, and monitoring solutions.
- Strong scripting skills in Python, Bash, or Go.
- Experience with ML platform provisioning and optimization (e.g., Dataiku, Ray, GPU-based training environments).
- Experience with back-end frameworks like Spring and Hibernate.
- Experience with UI/UX frameworks like React and Angular.
- Unix and Linux System administration experience: ssh, monitoring processes, attaching storage, cleaning disk space, tailing logs, etc.
- Experience with modern web services architectures. Experience with infrastructure automation, especially Terraform. Experience with relational database systems, including SQL and relational design.
- Candidates must demonstrate strong skills with collaboration, negotiation, and influencing and must be able to work in multi-functional projects with internal partner engineering teams.
- Familiarity with MLOps best practices is a plus.
- MS in Computer Science Quantitative Finance, Math, Physics or a related Engineering degree
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