Software Developer - Gen AI Platform

Software Developer - Hybrid

At SAS, where you start doesn’t have to be where you end; and there is ample opportunity for internal career mobility. Whether you’re looking to grow a new skill or experience a new role, there’s no time like the present to take the next step; and we’re here to support you in your journey.

About the job

The Platform Products division is looking for a Software Developer to join a team of talented engineers working collaboratively to ideate and deliver a cutting edge, innovative platform enabling SAS’s internal stakeholders to use Generative AI in a secure, high-performing, lean, and scalable manner. You will contribute to building a platform used by a diverse set of technologies and industries. You will make an impact on how customers experience our software and play a crucial role in ensuring the quality of our products exceed their expectations.

 As a Software Developer, you will:

• Support internal teams in their employment of the platform, helping them leverage the platform to build out GenAI-fuelled initiatives with a secure and testable framework
• Design, develop, and maintain high-quality software solutions using modern programming techniques and best practices.
• Ensure quality through functional, unit, integration, and performance testing; work closely with testing by providing thorough reviews of the test plan and communicate when updates to the plan should be made to cover code changes related to enhancements, redesigns and/or bug fixes.
• Maintain accountability for the entire life cycle of the code including support for both internal and external consumers.
• Address production issues, provide quick resolutions, and prioritize customer experience in all development efforts.
• Participate in code reviews, providing constructive feedback and maintaining coding standards across the tea

Required:

• 3+ years of software development experience
• Bachelor's degree in a relevant field, preferably Computer Science or Artificial Intelligence. An equivalent combination of related education, training and experience may be considered in place of the above qualifications.
• Experience in developing applications using Go or an object-oriented language (preferably Python), with a focus on best practices, design patterns and performance optimization.
• Knowledge of current software trends and emerging technologies: to evaluate their impact on development practices and apply relevant innovations to enhance our software development practices with an ability to self-learn.
• Containerization and orchestration experience, including creating, deploying, and managing containerized applications using tools such as Docker or Kubernetes.
• Proficiency in conducting code reviews, providing clear feedback to improve code quality, maintainability and adherence to best practices.
• Extensive experience using git and git-based repositories such as GitHub for version control, including managing repositories, branching strategies, pull requests, and collaboration workflows to enhance team productivity and code quality.
• You’re curious, passionate, authentic and accountable. These are our values and influence everything we do

 Nice to haves:

• Experience in using project management tools like Jira for task tracking, sprint planning, and collaboration.
• Proven track record in designing, executing, and analysing performance tests to ensure system scalability, reliability, and responsiveness under varying loads. Familiarity with performance testing tools and methodologies to identify bottlenecks and optimize application performance.
• Hands-on experience with CI systems such as GitHub Actions or Jenkins to ensure efficient and reliable software delivery.
• Experience with cloud computing platforms such as Azure, AWS, or Google Cloud, and ideally their AI services e.g. Azure Open AI.
• Experience with API Management platforms such as Azure API Management (APIM) or Apache APISIX, including the ability to design, deploy, and maintain scalable APIs.
• Experience fostering a collaborative environment that encourages growth, knowledge sharing, and confidence-building to help them succeed in their roles.
• Knowledge and/or experience of Generative AI technologies and tooling e.g. OpenAI or other LLMs, PromptFlow, Langchain
• Understanding of the benefits and pitfalls of GenAI implementation

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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