Software Engineer – Applications

Apple•Cupertino, CA

4d•Onsite

About The Position

Build and deliver innovative software applications to support build, release and quality assurance standards in the field of Applied Machine Learning. Conduct quality assurance on large scale mission critical applications using custom and open-source solutions in Java and Python. Design and implement test automation frameworks for large scale multi-tier distributed applications to maintain high quality standards of both front and back end. Create and maintain software tools and utilities to assist with better quality of application development, distribution and deployment. Integrate test coverage, system and unit testing frameworks, deployment, release and monitor tools to achieve Continuous Integration and Delivery. Implement and maintain required code, configuration and infrastructure management services and solutions to ensure stable and predictable code artifacts delivery and deployment pipelines. Work together with development, dev-operations and project management teams to promote clean coding, effective deployment of a quality solution for the benefit of end user.

Requirements

Implementing Continuous Integration and Delivery pipelines using contemporary coding practices and experience with modern open-source technologies.
Using Object Oriented Programming principles and Java to design and write utilities and applications
Designing and implementing test automation frameworks for API based testing.
Testing distributed systems built around such technologies as Cassandra, Hadoop, Spark, Kafka, or Solr
Preparing test strategies based on knowledge of Machine Learning development lifecycle, architecture of Big Data pipelines, and design principles of Distributed Computing
Planning and executing Integration, System, API and Acceptance testing including building comprehensive test automation frameworks.
Working in Linux environment, CLI tools, Git and Shell-scripting to set up and maintain test environments for distributed and cloud systems.

Responsibilities

Build and deliver innovative software applications to support build, release and quality assurance standards in the field of Applied Machine Learning.
Conduct quality assurance on large scale mission critical applications using custom and open-source solutions in Java and Python.
Design and implement test automation frameworks for large scale multi-tier distributed applications to maintain high quality standards of both front and back end.
Create and maintain software tools and utilities to assist with better quality of application development, distribution and deployment.
Integrate test coverage, system and unit testing frameworks, deployment, release and monitor tools to achieve Continuous Integration and Delivery.
Implement and maintain required code, configuration and infrastructure management services and solutions to ensure stable and predictable code artifacts delivery and deployment pipelines.
Work together with development, dev-operations and project management teams to promote clean coding, effective deployment of a quality solution for the benefit of end user.