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Senior software engineer - backend services for apple music, books, and podcasts

London
Apple
Software engineer
Posted: 21 August
Offer description

Senior Software Engineer - Backend Services for Apple Music, Books, and Podcasts

London, England, United Kingdom Software and Services


Description

The ideal candidate heavily relies on automation, champions continuous improvement and can balance focusing on quality while delivering solutions efficiently. If youre excited to help deliver Apples next groundbreaking products and services, we want to hear from you!


Responsibilities

* Design, implement, and support backend web services through the full Software development from initial planning and requirements gathering to design, development, testing, deployment, and maintenance
* Architect and develop data workflows and pipelines that can be thoroughly tested, monitored and supported by partner teams
* Contribute to a collaborative engineering culture through pair programming, constructive code reviews, and transparent architectural design discussions
* Help evolve our infrastructure to meet the growing demands of Apples media services while applying best practices in software development


Minimum Qualifications

* Bachelors degree in Engineering, Computer Science, Business Information Systems (or equivalent work experience) with indepth professional software development experience with excellent written and verbal communication skills
* Demonstrated expertise in designing, building and maintaining scalable and highly available web services (GRPC, REST)
* Able to create automated build and deployment pipelines with automated testing
* Proficiency in JVM languages (Scala, Java),


Preferred Qualifications

* Knowledge of build tools (SBT, Gradle, Jenkins, Spinnaker), Datastores (Cassandra, SOLR) and message brokers (Kafka, Pulsar) and Kubernetes
* Familiarity with graph databases and graph traversal languages like Cypher and Infrastructure as code tools (Pulumi, Cloudformation, Terraform)
* Hands-on experience with distributed computing technologies like Hadoop, Spark, Flink
* Comfortable with independently diagnosing issues across the entire stack network, application or server using tools such as ( JVM Profiling, Wireshark, Charles, debuggers)


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