Software Developer – Data Services

## **Software Developer – Data Services -** **Hybrid, Cary, NC** 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. If you’re looking for a dynamic, fulfilling career with flexibility and a world-class employee experience, you’ll find it here. We’re recognized around the world for our inclusive, meaningful culture and innovative technologies by organizations like Fast Company, Forbes, Newsweek and more. **About the job** The Customer Intelligence R&D Data Engineering team builds cloud-native backend services and platform capabilities that support CI360. We design systems that handle high-volume event data, real-time processing, and service orchestration across multiple tenants and value streams. This is a backend engineering role operating at scale—not a traditional data pipeline role. Our platform is evolving toward: - Cloud-first, containerized architectures - Event-driven, distributed backend systems - Deep integration of AI capabilities into core services and workflows **As a Software Developer, you will:** Design and build cloud-native backend systems that are foundational to the platform: - Architect and implement scalable, cloud-native backend services (Java-based) deployed on AWS - Design for resilience, elasticity, and multi-tenant scale using modern cloud patterns - Build and evolve distributed systems leveraging services such as EKS, Lambda, Step Functions, SQS, SNS, DynamoDB, and OpenSearch - Develop event-driven architectures that support real-time data processing and orchestration - Own the design of service interfaces, APIs, and backend abstractions that other teams depend on - Work with open table formats (e.g., Apache Iceberg) to enable: - Reliable, ACID-compliant data access across distributed systems - Scalable, cloud-native analytical and operational workloads - Seamless interoperability between backend services, data pipelines, and AI workloads - Apply Generative AI to backend engineering challenges, such as: - Intelligent workflow orchestration - Automated decisioning and routing - AI-assisted data transformation and service optimization - Enhance cloud-native observability—metrics, logging, tracing, and alerting—to ensure production readiness and operational excellence - Be encouraged to participate in open-source projects on behalf of SAS. - Ensure all applicable security policies and processes are followed to support the organization’s secure software development goals. - Embrace curiosity, passion, authenticity and accountability. These are our values and influence everything we do. **Required qualifications** - 5+ years of experience building backend or distributed systems in cloud environments - Bachelor’s degree in computer science or related field (or equivalent experience) - Strong proficiency in Java, with experience delivering production services - Hands-on experience with cloud-native architectures (AWS or similar), including: - Microservices or service-oriented architecture - Containerized deployments (Docker, Kubernetes, ECS/EKS) - Managed cloud services (Lambda, SQS, SNS, DynamoDB, etc.) - Experience with Python for cloud automation, AI integration, or tooling - Exposure to streaming architectures (Kafka, Kinesis, Flink) - Strong SQL and relational database expertise (e.g., PostgreSQL, MySQL, AWS RDS), with experience designing efficient, scalable data access layers and optimizing performance in production systems. - Demonstrated ability to design scalable, resilient, cloud-deployed systems - Equivalent combination of related education, training and experience may be considered in place of the above qualifications. **Additional competencies, knowledge, and skills** - Innovation – You must be creative and devise unique solutions to complex problems that provide a competitive advantage for our products. - Technology Savvy – You must keep apprised of emerging industry trends…