Software Engineer - Applications at Apple

Seattle, Washington, United States -

Full Time

Start Date

Immediate

Expiry Date

29 Jul, 26

Salary

258100.0

Posted On

01 May, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Java, Go, Python, Docker, Kubernetes, Cassandra, Splunk, Prometheus, Grafana, Distributed systems, Load balancing, Service discovery, Infrastructure security, Algorithm optimization, Concurrency, Parallelism

Industry

Computers and Electronics Manufacturing

Description

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. DESCRIPTION APPLE INC has the following available in Seattle, Washington. Design, develop, test, and deploy highly available, large-scale distributed infrastructure platforms. Utilize and integrate non-proprietary tools and technologies including Java, Go, Python, Docker, Kubernetes, Cassandra, Splunk, Prometheus, and Grafana. Maintain software development lifecycle best practices by enforcing coding standards, documentation, peer code review, automated testing, build pipelines, and deployment processes. Measure key system indicators including latency, throughput, error rates, availability, capacity, and resource utilization, and make data-driven decisions based on defined Service Level Objectives (SLOs). Collaborate with infrastructure, security, and feature development teams to ensure secure, reliable, and performant service delivery, and train engineers on platform components and best practices. Implement monitoring and observability solutions by building dashboards, alerts, and pipelines to ensure system reliability and enable incident response. Optimize performance and reliability of traffic management systems by improving load balancing, service discovery, and routing strategies, and by applying algorithm optimization, concurrency, and parallelism techniques. Ensure infrastructure security and compliance by addressing vulnerabilities, applying organizational security standards, and implementing encryption, authentication, and security controls to protect data transfers. 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 $171,600 - $258,100/yr and your base pay will depend on your skills, qualifications, experience, and location. PAY & 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: https://www.apple.com/careers/us/benefits.html. Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program. MINIMUM QUALIFICATIONS Bachelor’s Degree or foreign equivalent in Computer Science, Systems Engineering, or related field and 5 years of progressive, post-baccalaureate experience in the job offered or related occupation. 5 years of experience with each of the following skills is required: Using programming languages such as Java, C++, or Go to build large-scale distributed systems. Using one of distributed storage systems and databases such as MongoDB, Cassandra, or Redis to operate highly available systems. Using one of modern monitoring solutions such as Prometheus, Grafana, or Datadog. Using one of modern log processing solutions such as Splunk or ELK stack (e.g., Elasticsearch, Logstash, Kibana, or Logz.io). Using GitHub for source control to deliver software reliably. Using Docker and Kubernetes for containerization, deployment, and scaling. PREFERRED QUALIFICATIONS N/A

Responsibilities

Design, develop, and deploy large-scale distributed infrastructure platforms while maintaining software development lifecycle best practices. Collaborate with cross-functional teams to ensure system reliability, security, and performance through monitoring, observability, and data-driven decision-making.