Develop and support robust quality engineering solutions at every layer of the software development life cycle. Empower your team to continuously deliver enterprise grade software to production by engineering quality into our continuous delivery pipeline.
Years of Experience: 3-5 Years
Knowledge, Skills and Abilities:
Advanced proficiency in multiple object-oriented programming languages like Go, Python, Ruby, Java/Kotlin
Fluent in web based microservices, REST interfaces, and the OpenAPI specification
Advanced understanding of open source test automation frameworks like Selenium, Robot, Cypress, Pytest, Appium, Espresso, or XCTest
Ability to improve implementations of cloud native data storage technologies, like Azure Blob Storage, AWS S3, DynamoDB, and Google Cloud Storage.
Proficient with container and container orchestration technologies (Docker, Kubernetes)
Functional experience building CI/CD pipelines with tools like Jenkins, Gradle, CircleCI, Spinnaker, or Argo
Hands on experience with progressive test development techniques like the Page Object Model (POM), Behavior Driven Development (BDD), and test parallelization
Demonstrated ability to serve as an agent for progressive change within the DevOps model
Working knowledge of stream and event processing (Kafka, RabbitMQ)
Fluent in at least one public cloud interface like MS Azure, AWS, or GCP
Fluency with SCRUM, Kanban, Retrospectives, and other agile processes that enable a rapidly changing environment
Demonstrated ability to distinguish between testing layers and match the correct approach to each situation
Fluent in state-of-the-art techniques, standards, and procedures for software test development
Being a responsive, flexible, accountable, a team player; capable of task prioritization and context switching to support multiple releases
Ability to pivot quickly and seamlessly toward areas of need
Adds value to teams independently without individual guidance
Adjacent team members are better because of their efforts
Strong interpersonal skills that meets or exceeds the needs of the team
Consistently demonstrates the relentless pursuit of knowledge and growth that defines SAS culture
Responsibilities:
Create and maintain the highest quality of test automation that fails fast, uses modern development techniques, and provides key data points to support metrics-based decision making.
Apply your automated tests at every layer of the application stack, both inside and outside of our continuous delivery pipeline
Share your creativity by leading effective exploratory testing sessions
Produce key data that illustrates the quality of our applications and develop insight that drives the direction of quality engineering
Work with your team to promptly triage test failures with precision and accuracy, maintaining the health of the build pipeline
Work collaboratively with your development, product, operations, and support peers to encourage quality as a key design element is all that we do
Challenge the status quo every day and never stop improving our quality engineering practices
Accelerate test coverage using lean testing techniques
Take a lead role in code reviews for product, test, and infrastructure code
Protect our users from escaped defects, participate in support escalations, and value our Customer Experience above all else
Understand the role of deployment, migration, security, and performance in the in our continuous delivery lifecycle
Practice effective techniques for deploying and operating SAS software in a multi cloud environment
Develop and maintain authentic data sets used to test our systems at an enterprise level
Deploy and support high value test environments where needed
Utilize observability and monitoring tools to proactively detect and remediate failures
Build human networks and collaborate across teams and across divisions to evolve quality engineering at SAS
Serve as a mentor to aspiring quality engineers and multiply your impact
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