AIOps Software Engineer - Strategic Data Solutions

Apple•Austin, TX

About The Position

Do you want to join a team that is critical to the success of Apple? Join the SWE AI Ops team and help us to make SDS operations excellent, supporting massive RT decision systems, large scale platforms, thousands of services/jobs on the back of petabytes of data. We shape the next generation of customer data solutions by working on cutting-edge technologies and collaborating with talented teams across Apple. Our systems enable Apple engineering and operations teams to build the next ground breaking product. You'll be joining our diverse and talented team to summarize, simplify, and solve complex problems in our global ecosystem. We advance technology by relying on each other's strengths and skills to build something bigger than ourselves. For this reason, team culture is central to our values. We value social skills and integrity as much as technical craft. We are looking for extraordinary engineer with experience building large-scale data platforms, analytic tools and solutions to unlock AI Ops to scale for all of SDS. Do you excel in a high-demand setting and exceed expectations, in an environment that requires time-management? The right person will prioritize tasks and complete assignments ahead of schedule. While being a great standout colleague, you will also work independently.

Requirements

BS or MS in Computer Science preferred; equivalent work experience considered
5+ years of work experience in Java, Scala, Python or equivalent programming language
5+ years of work experience designing, building, maintaining and improving large scale platforms, services, tools, etc.
Fundamental grasp of computer science basics including data structures and algorithms
Flexibility with a creative approach to problem solving
Hands-on experience with design and development in the Big Data and NoSQL technologies (such as Hadoop, HDFS, S3, HBase, Cassandra, Hive or Elastic Search)
Confirmed understanding of design and development of large scale, high throughput and low latency applications

Nice To Haves

Experience in developing batch and streaming applications
Experience with application deployments using Docker and Kubernetes
Proven technical leadership and communication skills
Ability to solve problems in collaboration with business partners
Strong aptitude and ability to learn new technologies quickly
Ability to apply others’ diverse experiences, styles, backgrounds, and perspectives to get results
Experience regularly contributing to a work climate where differences are valued and supported
Experience with large scale fulfillment decisioning

Responsibilities

As a member of a multi-functional team, you'll have the opportunity to solve challenging software engineering problems across a broad range of Apple manufacturing services
Provide Support for both Analytics and Operational Platforms
Develop applications to answer complex analytical and real-time operational questions
Working with external teams to drive the development of infrastructure needs
Help design, architect and build the data platform while using a variety of Big Data technologies
Innovate by exploring, recommending, benchmarking, and implementing data centric platform technologies
Recognize opportunities for automation and tools improvements
Provide hardware architectural guidance, estimate cluster capacity, and create roadmap
Technical leadership with a focus on increasing software development maturity and skills across the team
You will also be working closely with DevOps, other teams in SDS and also with business partners across Apple
Adjust communication content and style to meet the needs of diverse stakeholders
Ensures that different experiences, styles, backgrounds, and perspectives are leveraged appropriately.
Mentoring, coaching and up-skilling junior team members who are developing