Software Development Engineer in Test

 

Nice to meet you!

We’re a leader in data and AI. Through our software and services, we inspire customers around the world to transform data into intelligence – and questions into answers. We’re also a debt-free multi-billion-dollar organization on our path to IPO-readiness. If you’re looking for a dynamic, fulfilling career coupled with flexibility and world-class employee experience, you’ll find it here.

 

About the job

The Platform Services Database Interfaces team is seeking a Software Development Engineer in Test with a strong drive to develop and enhance our essential mechanisms for managing application data. This team is responsible for building and maintaining the access layer for the application storage solutions in the SAS Viya Platform using Golang and other technologies as required. In this role, you’ll design, build, and maintain scalable automated testing frameworks, tools, and test suites that will empower our team to deliver enterprise-grade software seamlessly and continuously, with quality engineered directly into our delivery pipeline.

Join a talented team committed to advancing our platform services, where innovation and quality are our top priorities. If you're excited to push boundaries, challenge code, and make a meaningful impact in quality engineering, we want to see what you bring to the table. Ready to take on the challenge? Keep reading!

 

As a Software Development Engineer in Test, you will:

• 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 and drive the direction of quality engineering.
• Apply your automated tests at every layer of the application stack, both inside and outside of our continuous delivery pipeline.
• Drive enhancements to test procedures and associated telemetry that elevate the resiliency and robustness of the services under test.
• Maintain an awareness of and research new technologies, trends, architectures, and implementation techniques as they relate to the delivery of applications and integrations in CI/CD.
• Comprehend complex usage concepts and assess applications’ ability to fulfill them.
• Perform functional, integration, and end-to-end testing to verify that product works as intended along with the cross-functional areas like deployment, migration, security, and performance.
• Practice source control management, including code reviews, merging, and branching strategies
• Design, develop, document, and execute manual tests when automated scripts are not available.
• Identify risks, issues, potential defects, or manifested defects in any phase of the project life cycle, managing them through closure.
• Engage in code reviews for product, test, and infrastructure code.
• Work with your product team to promptly triage test failures with precision and accuracy, maintaining the health of the build pipeline.
• Work collaboratively with development, product, operations, and support peers to encourage quality as a key design element in all work efforts.
• Develop and deploy applications leveraging Kubernetes and its core components as well as maintain Dockerfiles for containerized applications.
• Work with event processing and streaming technologies to support real-time data applications.

Required qualifications

• Bachelor's degree in computer science or related quantitative field
• Five years of experience writing software applications, testing software, and/or general programming, including some experience leading projects
• Two years of industry experience and demonstrated advanced proficiency in at least one object-oriented programming language (Golang / Java preferred)
• Two years of industry experience with web-based microservices, REST interfaces, and OpenAPI 3 specification
• Two years of industry experience and demonstrated deep understanding of at least one modern automation framework (stdlib, spock framework with Groovy DSL are preferred)
• Demonstrated ability to distinguish between testing layers, match the correct approach to each situation, and design effective quality gates based on these layers
• Proficiency working with container platforms and orchestration technologies such as Docker and Kubernetes, including the ability to author and maintain Dockerfiles
• Proficiency developing, deploying, and maintaining infrastructure in a public cloud platform such as Azure, AWS, or GCP
• Proficiency with version control systems and techniques including branching, code review, and merging (Git and GitHub preferred)
• Ability to conduct root cause analysis for errors and warnings in deploymen