S

SAS

Analytics, BI, and data management software

Software Development Engineer in Test - Emerging Careers

Test Automation EngineeringConfirmed live in the last 24 hours
Full-timeCary, NC, USANo salary listed

About the Job

Requirements

  • A bachelor's degree in computer science or a related quantitative field is required; an equivalent combination of related education, training, and experience may be considered.
  • At least 2 years of experience writing software applications, testing software, and/or general programming is required.
  • Advanced proficiency in at least one programming language and familiarity with multiple programming languages, such as C, C++, Java, C#, SAS, or others, are required.
  • Advanced proficiency in at least one scripting language and familiarity with multiple scripting languages, such as Python, Perl, Bash, or others, is required.
  • Strong knowledge of software testing practices, techniques, and standards, with experience applying them to test development, is required.
  • Expertise in one test automation framework and the ability to create shareable code are required.
  • Proficiency with source control management techniques, including branching, code review, and merging, is required.
  • Familiarity with platform configuration, integration, and secret management is required.
  • A conceptual understanding of at least one markup language, such as XML, is required.
  • Strong knowledge of Unix and Windows environments is required; MVS experience is a plus.
  • Programming experience with C, Java, and SAS is specified.
  • Scripting experience with Python is specified.
  • Applicants must be legally authorized to work in the United States and must not require employment visa sponsorship now or in the future.

Responsibilities

  • Create and maintain high-quality test automation using modern development techniques, and provide data points to support metrics-based decision-making.
  • Develop and apply automated tests across software components to validate functionality, reliability, and compatibility.
  • Produce and analyze metrics that illustrate application quality and develop insights that guide quality engineering.
  • Triage test failures with the team, helping identify and resolve issues before they affect customers.
  • Work with development, product, operations, and support peers to make quality a key design element in work efforts.
  • Participate in code reviews for product, test, and infrastructure code.
  • Protect users from escaped defects and participate in support escalations.
  • Understand the roles of development, migration, security, and performance in the continuous delivery lifecycle.
  • Develop a strong understanding of the software and its components to identify risk areas and focus testing where it has the greatest impact.
  • Use observability and monitoring tools to detect and remediate failures proactively.
  • Deploy and support high-value test environments as needed.
  • Partner with Development to design and execute effective testing strategies.
  • Design, implement, and continuously improve automated test frameworks, tools, and scripts for specific needs, using tools such as Jenkins.
  • Maintain test suites in a version-controlled environment.
  • Follow applicable security policies and processes in support of secure software development goals.
  • Participate in open-source projects on behalf of SAS.

Desired Qualifications

  • MVS experience is a plus.

About the Company

SAS

Analytics, BI, and data management software

SAS provides analytics, business intelligence, and data management software and services to organizations across government, business, and academia. Its products cover data mining, statistical analysis, forecasting, and optimization, and are sold as software licenses, with accompanying training, consulting, and support services. The platform typically helps users analyze large data sets and turn insights into decisions through a full analytics lifecycle—from data preparation to modeling and deployment. SAS differentiates itself through its long history (founded in 1976) and a broad, enterprise-grade suite with extensive services and a global presence that serve many of the world’s largest organizations. Its goal is to help customers become data-driven by turning data into actionable insights that improve decision making and outcomes.

Company size
10,001+
Company stage
Grant
Total funding
$1M
Headquarters
Cary, NC
Founded
1976

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