Systems Engineer / Cloud Architect

Systems Engineer / Cloud Architect - 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 SAS Cloud Architect, you will apply expertise in technical architecture and cloud technologies to guide and support sales and business development towards successful outcomes. Additionally, you will design customer solutions and repeatable propositions, applying technical concepts to produce credible and cost-effective architectures that meet the requirements and expectations of prospects and customers.

As a Systems Engineer / Cloud Architect, you will:

• Work together with new and existing customers to identify and define customer business challenges and advise on how to get them solved.
• Identify appropriate applications, tools, and solutions for targeted accounts.
• Prepare technical demonstrations, proof of concepts, and presentations based on client needs.
• Collaborate with customers/partners in developing Minimum Viable Products.
• Build industry-based showcases to demonstrate the SAS solution in addressing customer business challenges.
• Become technically fluent in SAS solutions and any required supporting products for knowledge sharing, create value cases, and demonstration purposes.
• Understand, utilize, and communicate best practice methodologies and industry standards internally and externally.
• Demonstrate and showcase to external customers to drive the SAS business value.

Required Qualifications

• Bachelor’s or master’s degree in Computer Science, Engineering, or other technical related quantitative field.
• At least 2 years of working experience in the Architecture or Engineering area.
• Experience with Data Engineering and Big Data Platforms such as Hadoop, BigQuery, EMR, etc.
• Programming skills in R, Python, Lua, Java, C, C++, C#, HTML, etc. are also relevant.
• Good communication skills and fluency in English.
• Familiarity with CI/CD approaches.
• Familiarity with REST and web services design.
• Familiarity with Open-Source software within data analytics and AI.
• Familiarity with DevOps, MLOps, and ModelOps implementations. Familiarity with main CSP services (GCP, AWS, and Azure).
• 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

• Architectural knowledge of cloud technologies, preferably Azure.
• Experience in the design of cloud solutions – preferably from presales through to implementation.
• SAS programming skills.
• Public/Private cloud Machine Learning architecture.

Benefits Highlights

• Flexible working hours / Hybrid working model.
• Top-class health and dental insurance, wellness program, language education support with GoFluent.
• Your well-being matters, and that's why we support all dimensions of your well-being by offering programs that reduce stress and distractions to help you remain healthy and productive.
• Paid holidays and Christmas break.

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:

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.