Sr Associate Software Development Engineer in Test

Sr Associate Software Development Engineer in Test - Risk & Quantitative Solutions - 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 Software Development Engineer in Test (SDET) in the Risk Solutions team, you will acquire a wide range of technical skills, gain first-hand experience in the financial risk space, and collaborate to build automated test frameworks and test suites.

The Risk Solutions development team is focused on the creation of risk and finance related applications across the banking and insurance sectors. As a valued member of this dynamic team, you will have the opportunity to develop on top of exciting technologies and learn domain-specific knowledge as you build out our regulatory and analytical products.

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

• Design, implement, and maintain automated test frameworks, tools, and scripts that address specific needs.
• Create test strategies, test scenarios, and test ideas with clear intent.
• Understand and be able to diagnose and debug issues with containerized deployments.
• Follow and contribute to R&D best practices and processes.
• Actively involve other project stakeholders (managers, developers, user experience designers, and more) to ensure tests satisfy requirements and are consistent with established R&D standards.
• Participate in project scoping and scheduling in an agile manner, and track progress of individual tasks, alerting stakeholders of issues blocking task completion.
• Conduct code reviews to ensure integrity and cross-product consistency within our test suites.
• Design, develop, document, and execute manual tests when necessary.

Required Qualifications

• Bachelor’s Degree or higher in Computer Science or a related discipline.
• Proficiency in at least one programming language (e.g. Python).
• Experience with Git or another version control system.
• Analytical mindset with an aptitude for problem solving and debugging of complex software systems.
• Knowledge of cloud technologies such as Kubernetes and Docker.
• Knowledge of relational databases such as PostgreSQL.
• Understanding of REST API concepts.
• Experience working in an agile software development environment with collaboration tools such as Jira.
• Equivalent combination of education, training and experience may be considered in place of the above qualifications.
• You’re curious, passionate, authentic and accountable. These are our values and influence everything we do.

Preferred Qualifications

• Experience with the SAS programming language including SAS macros.
• Background in risk management, finance, or statistical modeling.
• Experience developing, deploying, and maintaining infrastructure in a public cloud platform, such as Azure, AWS, or GCP.

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.