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Job Requisition ID #
Autodesk is seeking a Sr. Software Engineer in Test to join the Autodesk Data Platform Product Analytics team. The Product Analytics team is responsible for building and maintaining important streaming data ingestion pipelines and developing simple, repeatable ingestion patterns for Autodesk’s internal data platform. You will have the opportunity to understand the entire data platform from product instrumentation through to business analytics, and data-driven products.
As a Lead Platform QA Engineer, you will have the opportunity to design and develop test frameworks that will test the infrastructure for the Autodesk Data Platform. You will play a key role in developing strategies, tools, processes, and frameworks to test individual infrastructure components, as well as their integration points throughout the platform.
In this position you will be joining a very talented and seasoned engineering team. You will have the opportunity to be exposed and work with many new and exciting technologies and frameworks used in our data platform.
We expect you to have a strong background in testing large-scale infrastructure components. You will also be expected to have a strong background in software quality assurance methodologies, processes, and practices as they work within an agile software development lifecycle.
We are looking for people who are as excited about data technology as we are, to join the fight.
You can be part of improving quality of our products across all aspects of our core data platform and see your work drive the business.
Creatively design and develop innovative strategies, tools, processes, and frameworks to test individual infrastructure components, as well as their integration points throughout the platform
Analyze and report on test results that our team can use to ensure the quality of the platform. Improving the efficiency, reliability, and stability of the platform
Collaborate with other engineers, providing testing insights and coming up with innovative solutions to improve and ensure the quality of our platform
Configure and deploy server test environments on physical hardware and cloud-based server instances
Lead test strategy of data platform to ensure the quality of products
Define necessary test automation, design automation flow, share implementation effort with software engineer
Define and establish test metrics to measure not just product quality, but quality of testing and feedback to engineers
Bachelor’s degree, Masters preferred in Computer Science /Information Systems/Engineering/related field
At least 3 years’ experience working in Quality Assurance or Development of complex systems
Strong experience in building test frameworks to test backend infrastructure using Java and/or Python and/or Bash
Strong experience integrating and automating with continuous integration tools such as Bamboo, Jenkins, Hudson, etc
Strong working knowledge of software quality assurance methodologies and be well versed in the various types of tests
Strong experience in deploying, troubleshooting and working in Linux server environments
Strong experience working with virtualization software (VMware, VirtualBox, etc.) and AWS cloud services
Humble, team player, willing to step up and support whatever is needed
Outstanding problem solving, logic, and analytical skills
Extremely organized in keeping track and documenting testing progress and results
Terrific communication/interaction skills to collaborate and work well as a member of the engineering team
Thrive to grow deeper in the knowledge and understanding of how to improve the quality of our platform
Passion for cutting edge technologies, complex problems, and breaking things
Ability to work with minimal supervision and commit to agreed business goals
Solid proficiency with Test Automation development
Solid proficient with non-functional testing such as load, performance and resiliency testing
Good communication, analytical, problem solving and interpersonal skills
Good command of English (Speaking, Writing and Reading)
Working in an agile environment using test driven methodologies
QA Experience in messaged based systems architecture such as Kafka, MQ
Good understanding of data architecture principles
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