Software Development Engineer

Imagine what you can do here. Apple is a place where extraordinary people gather to do their lives best work. Together we create products and experiences people once couldn't have imagined, and now, can't imagine living without. It's the diversity of those people and their ideas that inspires the innovation that runs through everything we do.

APPLE INC has the following available in New York, New York. Design, develop, and maintain large-scale distributed systems supporting content ingestion and delivery for digital media products. Build automation and observability frameworks to ensure reliability, scalability, and performance of production services. Collaborate with software engineering teams to optimize application architecture, including traffic routing, load balancing, caching, and other industry standards. Automate deployment pipelines, design telemetry for real-time visibility into service health, and perform root-cause analysis to enhance reliability and operational efficiency. Partner with product and infrastructure teams to define service-level objectives (SLOs), drive incident response improvements, and evolve the reliability roadmap for mission-critical systems. 40 hours/week. 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 $160,805 - $229,900/yr and your base pay will depend on your skills, qualifications, experience, and location.\n\nPAY & BENEFITS: 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: \nNote: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

Master's degree or foreign equivalent in Computer Systems, Computer Science or related field and 3 years of experience in the job offered or related occupation.\n\nEducation and/or experience with each of the following skills is required:\n\nUtilizing programming languages including Python, Java, Golang, or C++ to design and implement backend systems and automation tools supporting large-scale content ingestion pipelines.\nUtilizing Kubernetes and containerization technologies, including Docker, to design, deploy, and operate microservice-based distributed systems in production environments.\nConfiguring network gateways, ingress controllers, and load balancers (including NGINX or Envoy) to manage service traffic and optimize application entry points.\nUtilizing continuous integration and delivery (CI/CD) tools, including Jenkins or GitHub Actions, to automate software builds, testing, and multi-environment deployments.\nDesigning and implementing telemetry and observability systems using Prometheus and PromQL to collect metrics, and Grafana to visualize performance trends and service reliability dashboards.\nDesigning and implementing distributed data processing systems using cloud platforms such as AWS or Google Cloud Platform (Google Cloud Platform).\nUtilizing structured and unstructured data stores, including PostgreSQL and MongoDB, to support ingestion, transformation, and retrieval of high-volume datasets.\nImplementing infrastructure as code (IaC) using Terraform or Pulumi to provision and manage cloud infrastructure resources.\nConducting root-cause analysis and post-incident reviews to identify reliability risks and drive service-level improvements.\nApplying site reliability engineering principles, including capacity planning, error budgets, and system health monitoring, to maintain service uptime and performance.

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