Sr. Software Engineer (Site Reliability), eBusiness Services
23 days ago Austin, TX
About us
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: Manufacturing
Why you should apply for a job to Apple:
Ranked as one of the Best Technology Companies in 2020
3.7/5 in overall job satisfaction
3.1/5 in supportive management
66% say women are treated fairly and equally to men
65% would recommend this company to other women
66% say the CEO supports gender diversity
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At Apple, we rely on our employees diverse set of backgrounds and perspectives to champion innovation through extraordinary ideas to surprise and delight our customers. These ideas can come from anywhere. Will that next phenomenal idea come from you?
Sales and Operations Engineering is part of IS&T and drives the technology behind Apple's global operations, sales, and supply chain. The team connects the systems that move products from factory to customer - bridging sales platforms with the operational infrastructure that keeps Apple running at scale and ensuring Apple's technology and business priorities move in lockstep.
Description
Apple's B2B team manages critical integrations with Apple's supply chain partners such as manufacturers, logistics providers, banks, resellers and business customers. We are seeking a technically hands on individual with a real passion for programming and automation.
Join our dynamic team as a Software Reliability Engineer (SRE) and dive into innovative work culture fueled by machine learning, anomaly detection and threat detection. Collaborate with a highly motivated team of professionals who push boundaries and delivering exceptional results. This position offers an exciting opportunity to build your career as an SRE in a supportive environment, where continuous learning and professional development are prioritized.
","responsibilities":"As an SRE at Apple, you will be part of a team who will implement and maintain best-in-class devops practices, work on complex technical challenges related to scalability, reliability and performance of Apple B2B systems. You will be managing the lifecycle of machine learning models in production and non-production environment. You will be responsible for continuously assessing and improving system processes, detecting anomalies, identify the areas of optimization and implementing solutions to enhance system reliability and performance. You should have a passion for programming and a good conceptual understanding of the operating environment - JVM, Operating System, File Systems, Network Protocols. Technical expertise, strong communication skills and teamwork are essential requirements for this role as it involves working with both technical and non-technical groups within Apple and externally with our supply chain partners.
We are also looking for somone with DevOps experience who can design, build, and scale a modern DevOps and SRE ecosystem from scratch. This role requires deep hands-on expertise, strong architectural thinking, and the ability to establish GitOps-driven, cloud-native CI/CD platforms using the latest technologies. The ideal candidate will act as a foundational engineer and technical leader, defining standards, tooling, automation, and reliability practices across the organization.
Preferred Qualifications
Knowledge of HTTP/S, TCP, DNS, web application load balancing.
Deep understanding of Oracle or similar relational databases and NoSQL databases such as MongoDB.
Hands-on experience in performance tuning of applications and databases
Experience in solving and resolving issues in Kubernetes from both operating system and application perspectives.
Prior experience in large-scale, highly distributed production environments
Knowledge of middleware platforms such as WebMethods Integration Server, Apache Camel or similar
Minimum Qualifications
Bachelor of Science in Computer Science or related field.
At least 8 years of prior demonstrated experience in a Site Reliability Engineering, DevOps, or an Infrastructure-focused role.
Building and operating container orchestrating systems like Kubernetes or EKS.
Proficiency in one or more programming languages (eg. Java, Python)
Supporting internet-facing production services and distributed systems via deployments, OnCall and Incident Management. Lead incident response, RCA, and reliability improvements.
Proficiency in implementing and coordinating telemetry using monitoring and observability tools like Splunk, Grafana, and Prometheus, or similar.
Deep understanding of basic security concepts and protocols - authentication, authorization, signing, encryption, SSL/TLS, SSH/SFTP, PKI, X509 certificates and PGP.
Sales and Operations Engineering is part of IS&T and drives the technology behind Apple's global operations, sales, and supply chain. The team connects the systems that move products from factory to customer - bridging sales platforms with the operational infrastructure that keeps Apple running at scale and ensuring Apple's technology and business priorities move in lockstep.
Description
Apple's B2B team manages critical integrations with Apple's supply chain partners such as manufacturers, logistics providers, banks, resellers and business customers. We are seeking a technically hands on individual with a real passion for programming and automation.
Join our dynamic team as a Software Reliability Engineer (SRE) and dive into innovative work culture fueled by machine learning, anomaly detection and threat detection. Collaborate with a highly motivated team of professionals who push boundaries and delivering exceptional results. This position offers an exciting opportunity to build your career as an SRE in a supportive environment, where continuous learning and professional development are prioritized.
","responsibilities":"As an SRE at Apple, you will be part of a team who will implement and maintain best-in-class devops practices, work on complex technical challenges related to scalability, reliability and performance of Apple B2B systems. You will be managing the lifecycle of machine learning models in production and non-production environment. You will be responsible for continuously assessing and improving system processes, detecting anomalies, identify the areas of optimization and implementing solutions to enhance system reliability and performance. You should have a passion for programming and a good conceptual understanding of the operating environment - JVM, Operating System, File Systems, Network Protocols. Technical expertise, strong communication skills and teamwork are essential requirements for this role as it involves working with both technical and non-technical groups within Apple and externally with our supply chain partners.
We are also looking for somone with DevOps experience who can design, build, and scale a modern DevOps and SRE ecosystem from scratch. This role requires deep hands-on expertise, strong architectural thinking, and the ability to establish GitOps-driven, cloud-native CI/CD platforms using the latest technologies. The ideal candidate will act as a foundational engineer and technical leader, defining standards, tooling, automation, and reliability practices across the organization.
Preferred Qualifications
Knowledge of HTTP/S, TCP, DNS, web application load balancing.
Deep understanding of Oracle or similar relational databases and NoSQL databases such as MongoDB.
Hands-on experience in performance tuning of applications and databases
Experience in solving and resolving issues in Kubernetes from both operating system and application perspectives.
Prior experience in large-scale, highly distributed production environments
Knowledge of middleware platforms such as WebMethods Integration Server, Apache Camel or similar
Minimum Qualifications
Bachelor of Science in Computer Science or related field.
At least 8 years of prior demonstrated experience in a Site Reliability Engineering, DevOps, or an Infrastructure-focused role.
Building and operating container orchestrating systems like Kubernetes or EKS.
Proficiency in one or more programming languages (eg. Java, Python)
Supporting internet-facing production services and distributed systems via deployments, OnCall and Incident Management. Lead incident response, RCA, and reliability improvements.
Proficiency in implementing and coordinating telemetry using monitoring and observability tools like Splunk, Grafana, and Prometheus, or similar.
Deep understanding of basic security concepts and protocols - authentication, authorization, signing, encryption, SSL/TLS, SSH/SFTP, PKI, X509 certificates and PGP.
Additional Information
- Posted: 23 days ago