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DevOps Engineer, G&A Solutions Engineering (GSE)
Apple, Inc.Austin, TX🇺🇸United StatesPosted 12 Aug 2026
Quick Overview
Work Type
Hybrid
Level
Mid Senior
Job Description
Do you love understanding every detail of how new technologies work? Join the team that serves as Apple's nerve center, our Information Systems and Technology group. There are countless ways you'll contribute here, whether you're coordinating technology needs for product launches, designing music solutions for retail locations, or ensuring the strength of in-store Wi-Fi connections. From Apple Pay to the Apple website to our data centers around the globe, you'll help design and own the massive systems that countless employees and customers rely on every day. You'll also build custom tools for employees, empowering them to tackle sophisticated problems on their own. Join our team, and together we'll explore all the ways to improve how Apple operates, freeing our employees to do what they do best: craft magical experiences for our customers. Are you a passionate operations engineer who wants to work on solving large scale problems? Join us in building best in class solutions and implementing sophisticated software applications. At Apple, we support both open source and home-grown technologies to provide internal Apple developers with the best possible CI/CD solutions. In this role you will have the unique opportunity to own and improve tooling for best of the class large-scale platform solutions to help build modern software systems!
Description
As a virtue of being part of this team you would be exposed to a variety of challenges supporting and building highly available systems, working closely with U.S. and India based teams and have the opportunity to expand the capabilities the team has to offer to the wider organization.
Minimum Qualifications
2+ years of experience in DevOps, systems engineering, build/release/deployment automation, etc.
Ability to program in a high-level programming languages or scripting, such Java, Python, Shell, or Golang, etc.
Experience with software tooling to deliver infrastructure and building CI/CD pipeline with tools such as Terraform, Pulumi, Ansible, or Spinnaker toolset
Experience implementing applications in private/public cloud infrastructure (AWS or Google Cloud Platform) and container technologies, like Kubernetes and Docker
Experience with integrating GenAI or MCP driven tools into DevOps workflows (intelligent code assistance, anomaly detection, automated tests/builds) or components that tackle internal use-cases
Bachelor's degree in Computer Science or equivalent work related experience
Preferred Qualifications
Self-driven and motivated with proven ability to learn new technologies and share DevOps best practices
Working experience with LLMs that tackle real-time problems when debugging or auto-remediating production incidents without manual interventions is a plus
Experience with AWS services including VPC, IAM, EC2, EKS, CloudWatch, S3, RDS, Route53. Experience in similar services for Google Cloud Platform is preferred
Experience with logging infrastructure and using tools like OpenTelemetry, Splunk, Logstash, or Kibana and networking load balancers such as Ngnix, HAProxy
Experience with Kafka, VectorDB, RDMBS and NoSQL (MongoDB, Cassandra and Oracle)
Description
As a virtue of being part of this team you would be exposed to a variety of challenges supporting and building highly available systems, working closely with U.S. and India based teams and have the opportunity to expand the capabilities the team has to offer to the wider organization.
Minimum Qualifications
2+ years of experience in DevOps, systems engineering, build/release/deployment automation, etc.
Ability to program in a high-level programming languages or scripting, such Java, Python, Shell, or Golang, etc.
Experience with software tooling to deliver infrastructure and building CI/CD pipeline with tools such as Terraform, Pulumi, Ansible, or Spinnaker toolset
Experience implementing applications in private/public cloud infrastructure (AWS or Google Cloud Platform) and container technologies, like Kubernetes and Docker
Experience with integrating GenAI or MCP driven tools into DevOps workflows (intelligent code assistance, anomaly detection, automated tests/builds) or components that tackle internal use-cases
Bachelor's degree in Computer Science or equivalent work related experience
Preferred Qualifications
Self-driven and motivated with proven ability to learn new technologies and share DevOps best practices
Working experience with LLMs that tackle real-time problems when debugging or auto-remediating production incidents without manual interventions is a plus
Experience with AWS services including VPC, IAM, EC2, EKS, CloudWatch, S3, RDS, Route53. Experience in similar services for Google Cloud Platform is preferred
Experience with logging infrastructure and using tools like OpenTelemetry, Splunk, Logstash, or Kibana and networking load balancers such as Ngnix, HAProxy
Experience with Kafka, VectorDB, RDMBS and NoSQL (MongoDB, Cassandra and Oracle)
Skills
Docker
MongoDB
Oracle
Shell
Spinnaker
AWS
Logstash
Splunk
Ansible
Cassandra
Go
Google Cloud
HAProxy
Java
Kafka
Kibana
Kubernetes
Pulumi
Python
Terraform
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