403 jobs for "Sr Engineer - System Engineering"

The Info Apps DevOps team provides the infrastructure backbone for Apple News, Stocks, Weather, and Apple Creator Studio, powering experiences used by millions of users worldwide and fueling capabilities like Siri AI's World Knowledge Answers. This team owns CI/CD pipelines, infrastructure automation, developer tooling, and operational support for large-scale backend systems deployed across hybrid cloud environments. Join us to shape how software is built, deployed, and scaled across some of Apple's most beloved consumer products.

Description

In this role, you will design and build infrastructure that serves millions of concurrent users across multi-cloud and on-premises environments, with a primary focus on development tooling, deployment automation, and CI/CD pipeline improvements. You will partner closely with engineering and SRE teams to architect scalable solutions using Kubernetes, AWS, and GitOps workflows. Day-to-day work is roughly 70% automation and tooling development and 30% operational support, giving you deep hands-on ownership across the full software delivery lifecycle.","responsibilities":"Design, build, and continuously improve CI/CD pipelines using Jenkins, ArgoCD, and GitOps principles to accelerate delivery across News, Stocks, Weather, and Apple Creator Studio

Manage and scale large Kubernetes deployments on EKS and on-premises clusters, handling provisioning, upgrades, and complex troubleshooting

Develop custom internal tooling and automation scripts in Python, Bash, Groovy or Java to measurably improve developer productivity and deployment reliability

Architect and maintain Infrastructure as Code solutions using Terraform and/or Pulumi across AWS and Apple-managed environments

Leverage AWS services including EKS, S3, ElastiCache, SNS/SQS, and SageMaker to support scalable, distributed backend systems

Partner with engineering and SRE teams to define deployment standards, drive software version upgrades, and resolve system and application issues across environments

Monitor infrastructure health and contribute to operational support, ensuring high availability for consumer-facing products with millions of active users

Evaluate and help adopt new cloud technologies and platform strategies as the team expands beyond current environments

Preferred Qualifications

Familiarity with Generative AI concepts and experience supporting AI/ML development environments, model operationalization, or platforms such as SageMaker

Experience maintaining and debugging Spring-based Java runtime environments in a DevOps or platform engineering context

Strong background in modern web services architectures including REST APIs, microservices, and service mesh patterns

Proficiency with data infrastructure components such as Cassandra, Kafka, Solr, Postgres, or Redis in a large-scale backend environment

Track record of working closely with product engineering and SRE teams to define and enforce deployment standards across multi-team organizations

Minimum Qualifications

3+ years of experience in a DevOps or infrastructure-focused engineering role, including work on systems at large scale (millions of concurrent users)

Expert-level proficiency with Kubernetes and container orchestration, including deployment, lifecycle management, and troubleshooting on EKS or equivalent managed Kubernetes platforms

Advanced scripting skills in Python, Bash, Groovy or Java , applied to automation workflows and custom tool development

Deep expertise in CI/CD systems including ArgoCD, Jenkins, and Gradle/Maven, paired with advanced Git and GitOps workflow experience

Proven experience managing cloud platforms (AWS and/or GCP), covering compute, networking, storage, and managed services

Hands-on experience with Infrastructure as Code tools such as Terraform, Pulumi, or CloudFormation to manage resources and build reusable abstractions

Solid understanding of Linux operating systems, shell scripting, and core networking concepts including TCP/IP, DNS, HTTP, and load balancing

Demonstrated ability to debug complex distributed systems and solve ambiguous infrastructure problems under production conditions

Bachelors degree in a related field or we may consider an equivalent experience

Pay & Benefits

At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $184,700 and $277,600, and your base pay will depend on your skills, qualifications, experience, and location.

Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits

Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

About Apple

Working at Apple means doing more than you ever thought possible and having more impact than you ever imagined.

Size: 10,000+ employees
Industry: Technology

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