AddressJob Summary:
Disney Streaming’s Growth and Commerce org is looking for engineers to join a new Quality Innovations Engineering team! We are spinning up a new team to focus on engineering support for testing across our platform, both at a microservice level and an ecosystem level. We are looking to elevate our ability to test complicated scenarios across multiple services, emulate real production customers, and provide tooling/frameworks to others to make scenario based testing easy and simple.
The overall mission - provide engineering and development support to our QA team and application development teams, to expand our testing capabilities and take them to the next level.
The impact you’ll make - you’ll help identify and prevent production issues for our Disney+, ESPN, and Hulu streaming applications! We’ll be able to launch new initiatives faster, and reduce the amount of time from discovery to fix for issues thanks to you. You’ll also help to bootstrap and define a new team - there’s a lot of potential for creative endeavors we can tackle and the direction we go!
What kind of problems will you help solve?
Testing and validating runtime changes from our product operations personnel/UI, such as adding/changing new products and offers
Helping dev and QA teams easily simulate complicated billing/subscriptions scenarios to run through a test
Emulating scenarios typically only seen in production
Copying/sanitizing data from production to testing environments
Supporting a cross-service load testing process and environment
WHAT YOU'LL DO
Work with other teams to identify and provide libraries, tools, or frameworks to help them in their area of testing
Collaborate closely with development and QA teams to understand upstream/downstream dependencies and to facilitate development of integration/end-to-end tests
Help develop scalable automated testing strategies and coordinate feedback from your collaborators
Help introduce effective quality methodologies to the Growth and Commerce organization’s automation strategies and expand/improve existing automation
Contribute to testing aspects of the release process for the GrowthLife services team
Create/maintain test data for automated testing and navigate through databases to analyze issues
Mentor junior engineers and help them with the best practices followed in the team.
Aid in the hiring process and contribute towards onboarding of new engineers.
Apply Software Engineering best practices and agile approaches.
WHAT YOU’LL BRING
Bachelor’s degree in Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experience
Minimum of 5+ years of progressive experience in a software testing (SDET) and/or software development (SDE) occupation
Strong background in automated/manual testing of backend services and REST APIs
Proficient in object-oriented design and expertise with one of the following programming languages: Java, C#, Kotlin, Scala, or similar
Knowledge of at least one backend test automation frameworks (E.g. REST Assured, Karate, JUnit, Scalatest, etc.)
Experience with test suite/case/run management tools (E.g. X-ray, qTest, TestRail, etc.)
Hands-on experience with version control software (E.g. GitHub) and issue/project tracking software (E.g. Jira)
Strong familiarity with testing lifecycles and data maintenance: setup/teardown; creating/enacting testing seams to force desired behavior
Experienced in defining/executing/maintaining test cases and experience with building out test plans for backend services
Hands-on experience with software development/debugging tools (E.g. Postman, curl, Chrome dev tools)
Hands-on experience with Docker, Kubernetes, Spinnaker, and continuous integration/delivery systems. Knowledge of how to set up docker containers and run applications within.
Experience with SQL queries, stored procedures, and data analysis/validation
Experience with Jenkins or similar build tools
Good understanding of quality-related agile methodologies and tools and experience using both during the SDLC
Strong verbal and written communication skills (E.g. whiteboarding/diagramming system behavior)
NICE-TO-HAVES
Experience with Amazon Web Services (AWS)
Machine Learning experience
Experience in anomaly detection
Full stack experience
The hiring range for this position in NYC and Seattle is $142,600 to $191,100 per year and in Santa Monica is $136,100 to $182,400. The base pay actually offered will take into account internal equity and also may vary depending on the candidate’s geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.
