DevOps Engineer, Data Solutions & Initiatives
Core
Designing engineering platforms and tooling to automate development and operational tasks, ensuring high availability and scalability for Apple's worldwide sales data initiatives.
Role type
Senior DevOps Engineer (Data Solutions)
Builds
Automated CI/CD pipelines, containerized infrastructure, and observability frameworks for sales data systems.
Domain
Cloud Infrastructure & Data Operations
Deliverable
production ML models | infrastructure
Required skills
Containerization and orchestration (Docker, Kubernetes), Programming and scripting (Ruby, Python, Node, Bash), Infrastructure as Code (Ansible, Terraform), CI/CD (Jenkins, Argo), Logging and observability (Prometheus, Grafana, Splunk), Public cloud operations (AWS, GCP, Azure), Security integration in SDLC.
Preferred skills
AWS services expertise (EKS, RDS, CloudWatch), Large-scale distributed data systems (Kafka, Hadoop, Redshift, Hive, Spark), Compliance audit execution (PCI, SOC2, SOX).
Technologies
Docker, Kubernetes, Ruby, Python, Node, Bash, Ansible, Terraform, Jenkins, Argo, Prometheus, Grafana, Splunk, AWS, GCP, Azure, EKS, RDS, CloudWatch, Kafka, Hadoop, Redshift, Hive, Spark.
Responsibilities
Design engineering platforms and tooling for building and deploying applications; Develop automation for common development and operational tasks; Monitor system performance and availability; Collaborate with software and data engineering teams on sustainable solutions; Provide guidance on security and compliance requirements; Mentor other DevOps engineers on best practices.
Seniority
Senior, hands-on IC with mentorship responsibilities