Sr Associate Software Development Engineer in Test - Customer Intelligence - Hybrid  

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  

As a complete SaaS solution, SAS Customer Intelligence 360 is a multichannel marketing hub that takes marketers beyond a traditional customer data platform with market-leading advanced audience creation, targeting and activation.

SAS Customer Intelligence R&D division produces leading-edge solutions for multichannel marketing with advanced audience creation, targeting and activation. We are looking for a Sr Associate Software Development Engineer in Test (SDET) to design, build, and support scalable automated test frameworks, tools, and test suites to ensure quality within expected timelines during the development cycle. 

 As a Sr Associate Software Development Engineer in Test, you will:  

• Design test suites for analytical models, including corner cases, bias detection, and stress testing.
• Collaborate with data scientists to define test strategies for machine learning workflows.
• Capitalize upon your creativity by developing innovative solutions to complex problems.
• Work with your 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.
• Utilize observability and monitoring tools to proactively detect and remediate failures.
• Experience with manual test case/test scenario development & execution.

Required qualifications  

• Bachelor’s degree in computer science or related quantitative field 
• Minimum of 2 years of experience developing automated tests using Postman, Python, Selenium, or other modern frameworks. 
• Experience applying statistical methods (e.g., hypothesis testing, regression, time series analysis) to validate analytical model outputs.
• Understanding of A/B testing frameworks and interpreting experimental data.
• Ability to design and execute tests that validate data transformations, aggregations, and analytical outputs.
• Proficient with Git, or other source control management systems.
• An equivalent combination of related education, training and experience may be considered in place of the above qualifications. 
• Right to work in the UK  
• You’re curious, passionate, authentic and accountable. These are our values and influence everything we do 

Preferred qualifications  

• Familiarity with statistical tools such as SAS, or Python (with NumPy, SciPy, Pandas)
• Familiarity with data quality metrics (e.g., completeness, consistency, accuracy, timeliness)
• Familiarity with public cloud platforms, such as AWS, Azure, or GCP.
• Familiarity with modern test automation frameworks like Playwright, Pytest, Selenium

Diverse and Inclusive 

At SAS, it’s not about fitting into our culture – it’s about adding to it. We believe our people make the difference. Our diverse workforce brings together unique talents and inspires teams to create amazing software that reflects the diversity of our users and customers. Our commitment to diversity is a priority to our leadership, all the way up to the top; and it’s essential to who we are. To put it plainly: you are welcome here. 

Additional Information  

SAS is an equal opportunity employer. All qualified applicants are considered for employment without regard to race, color, religion, gender, sexual orientation, gender identity, age, national origin, disability status, protected veteran status or any other characteristic protected by law.  

Job level will be determined based on the applicant's education, skills, and experience. Resumes may be considered in the order they are received. SAS employees performing certain job functions may require access to technology or software subject to export or import regulations. To comply with these regulations, SAS may obtain nationality or citizenship information from applicants for employment. SAS collects this information solely for trade law compliance purposes and does not use it to discriminate unfairly in the hiring process. 

SAS only sends emails from verified “sas.com” email addresses and never asks for sensitive, personal information or money. If you have any doubts about the authenticity of any type of communication from, or on behalf of SAS, please contact Recruitingsupport@sas.com. 

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