Devops Engineer, G&a Solutions Engineering (gse)

Apple Apple · Big Tech · Austin, TX +1 · Software and Services

DevOps Engineer role focused on building and managing tools for software releases, streamlining operations, and improving CI/CD pipelines within Apple's G&A Solutions Engineering team. The role involves working with on-prem, private, and public cloud platforms, and partnering with development and infrastructure teams. While the role mentions staying up-to-date with AI/ML technologies and has preferred qualifications related to integrating GenAI into DevOps workflows, its core function is in DevOps and enterprise solutions engineering, not direct AI/ML model development.

What you'd actually do

  1. Primarily responsible for building and managing tools that enable software releases in a fast paced enterprise environment
  2. Designing and implementing new solutions to streamline manual operations, expanding the capacity and performance of current operational systems
  3. Stay up-to-date with emerging AI/ML and DevOps technologies, applying them to improve speed to delivery, mean time to detect/resolve, security and scalability
  4. Operate with on-prem, private, and public cloud platforms
  5. Partnering closely with global software development teams and infrastructure teams

Skills

Required

  • DevOps
  • systems engineering
  • build/release/deployment automation
  • CI/CD pipeline
  • Terraform
  • Pulumi
  • Ansible
  • Spinnaker
  • private/public cloud infrastructure (AWS or GCP)
  • Kubernetes
  • Docker
  • Java
  • Python
  • Shell
  • Golang

Nice to have

  • integrating GenAI or MCP driven tools into DevOps workflows
  • intelligent code assistance
  • anomaly detection
  • automated tests/builds
  • LLMs that tackle real-time problems when debugging or auto-remediating production incidents without manual interventions
  • AWS services (VPC, IAM, EC2, EKS, CloudWatch, S3, RDS, Route53)
  • GCP services
  • logging infrastructure
  • OpenTelemetry
  • Splunk
  • Logstash
  • Kibana
  • Ngnix
  • HAProxy
  • Kafka
  • VectorDB
  • RDMBS
  • NoSQL (MongoDB, Cassandra and Oracle)

What the JD emphasized

  • 4+ years of experience in DevOps, systems engineering, build/release/deployment automation, etc.
  • Experience creating and implementing CI/CD pipeline with tools such as Terraform, Pulumi, Ansible, or Spinnaker toolset
  • Experience implementing applications in private/public cloud infrastructure (AWS or GCP) and container technologies, like Kubernetes or Docker in production environments
  • Ability to program in a high-level programming languages or scripting, such Java, Python, Shell, or Golang