Big Data DevOps Engineer

Elk Grove, California, United States
Operations and Supply Chain


Weekly Hours: 40
Role Number:200180956
Home Office: Yes
In this role, you will be managing a very large-scale, highly-available Big Data Platform supporting many-Petabytes of data and growing very rapidly. You will be a key part of the design, architecture, instrumentation and delivery of a massive data platform empowering Apple’s products. As a member of a cross-functional team, you'll have the opportunity to solve challenging operational problems across a broad range of Apple manufacturing services. You will be leading innovation by exploring, investigating, instrumenting, recommending, benchmarking and implementing data centric technology solutions for the platform.

Key Qualifications

  • BigData technologies (Hadoop, HBase, Spark, Kafka)
  • Cloudera Hadoop (CDH) Distribution experience
  • Java
  • Natural influencer, and selfless team player, willing to help your team achieve great things
  • Excellent problem solving skills; proven technical leadership and communication skills
  • Provide hardware architectural guidance, planning, estimating cluster capacity, and creating roadmaps
  • Methodical and ability to Simplify and Refine
  • Continuous learner
  • Relentless Customer Focus


Shape the next generation of big data solutions at Apple by working on the bleeding-edge technologies and solutions for the Strategic Data Solutions (SDS) team. SDS is looking for exceptional engineers to help bring our environment to the next level. Be a member of the team that is responsible for the data collection and reporting for all of Apple’s products around the world. You will build systems that every iPhone, iPad and Mac have interacted with. Apple’s engineering and operations teams will utilize your systems to build the next insanely great product. Do something amazing and be a critical part of a company that everyone recognizes and loves.

Education & Experience

4 year degree in Computer Science or related field or equivalent experience

Additional Requirements

  • (These are Considered a plus):
  • Scala
  • ElasticSearch or Druid cluster knowledge
  • Relational DB experience MySQL, noSQL
  • Mesos, Marathon, HAProxy, Apache, Linkerd, Kubernetes
  • Jenkins, Docker, GIT, Puppet
  • REST, microservices
  • Linux configuration, shell scripting, deployment, and troubleshooting
  • Instrumentation: Grafana, Logstash, Kibana, AppDynamics
  • Security, PK, JWT and related best practices
  • Incident management, reporting, communication, production feedback process