Overview
USD 147,400.00 - 272,100.00 per year
Full Time
Skills
Software Engineering
Technical Support
Pivotal
Scalability
Fraud
Art
Cloud Computing
Collaboration
Incident Management
Adaptability
Management
Analytical Skill
Reliability Engineering
DevOps
Programming Languages
Python
Golang
Java
Computer Networking
Continuous Integration
Continuous Delivery
Problem Solving
Conflict Resolution
Computer Science
Amazon Web Services
Kubernetes
Apache Kafka
Apache Spark
Machine Learning (ML)
Payments
Job Details
Are you passionate, curious, and do you have a desire to learn and explore? Do you have a good grasp of computer science fundamentals, and a sound understanding of concurrent and asynchronous processing? The people here at Apple don't just craft products, they build the kind of wonder that's revolutionized entire industries! As a SRE within the Trust & Safety organization, you will be a member of a team dedicated to the development and operation of large-scale distributed infrastructure to support engineering services that safeguard against fraud and abuse across Apple services.
Description As a Site Reliability Engineer, you will be a pivotal contributor to the reliability and scalability of the backend services that underpin machine learning models, safeguarding against abuse and fraud by providing and maintaining state of the art cloud-based infrastructure services and automation tools. You will collaborate with engineering and machine learning teams to translate requirements into resilient infrastructure designs, and subsequently deploy those systems employing modern system reliability engineering practices. Whether it involves constructing automation to manage extensive service deployments, implementing observability frameworks to proactively identify and resolve issues, or driving performance improvements across distributed systems you will be at the forefront of operational perfection. You will assume ownership of end-to-end service health, participating in on-call rotations and leading technical incident response when vital. We are seeking a versatile and adaptable professional who thrives in a multifaceted and fast-paced environment. The ideal candidate will demonstrate exceptional ability to manage multiple responsibilities, navigate shifting priorities, and meet stringent deadlines. Success in this position necessitates strong open interpersonal skills, the capacity to engage in constructive dialogue, and a keen analytical mindset.
Minimum Qualifications
Preferred Qualifications
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 $147,400 and $272,100, 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.
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant .
Description As a Site Reliability Engineer, you will be a pivotal contributor to the reliability and scalability of the backend services that underpin machine learning models, safeguarding against abuse and fraud by providing and maintaining state of the art cloud-based infrastructure services and automation tools. You will collaborate with engineering and machine learning teams to translate requirements into resilient infrastructure designs, and subsequently deploy those systems employing modern system reliability engineering practices. Whether it involves constructing automation to manage extensive service deployments, implementing observability frameworks to proactively identify and resolve issues, or driving performance improvements across distributed systems you will be at the forefront of operational perfection. You will assume ownership of end-to-end service health, participating in on-call rotations and leading technical incident response when vital. We are seeking a versatile and adaptable professional who thrives in a multifaceted and fast-paced environment. The ideal candidate will demonstrate exceptional ability to manage multiple responsibilities, navigate shifting priorities, and meet stringent deadlines. Success in this position necessitates strong open interpersonal skills, the capacity to engage in constructive dialogue, and a keen analytical mindset.
Minimum Qualifications
- We are looking for 7+ years of experience in Site Reliability Engineering, DevOps or Infrastructure focused role.
- We would like you to be self motivated, inquisitive and always looking to learn more.
- We want you to have hands on experience with one or more programming languages such as Python, Golang, or Java.
- Solid grasp of networking concepts.
- Experience with CI/CD pipelines and best practices.
- Deep understanding of scaling and deploying applications including monitoring, resilience, maintainability and performance in AWS.
- Strong problem-solving skills and proactive approach in identifying and addressing potential issues in large scale distributed systems.
- BS in Computer Science or related field, or equivalent employment.
Preferred Qualifications
- Knowledge on AWS services.
- Experience building and operating container orchestrating systems like Kubernetes or EKS.
- Knowledge in Kafka, Ray, Spark and ML Model pipelines.
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 $147,400 and $272,100, 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.
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant .
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.