Cloud-Native Backend Engineer - Data & AI

SAS; Cary (NC); Hybrid; USD 120,000 - 160,000; Full time

Benefits offered by this job

Comprehensive medical/dental/vision

401k plan

Tuition Assistance

Winter Wellness Break

Volunteer Time Off

Childcare benefits

Job summary

SAS is hiring a Software Developer – Data Services for a hybrid role in Cary, NC. You will design and build cloud-native backend systems, focusing on scalable, multi-tenant platforms and real-time processing in a modern AWS-based environment.

Join a team advancing AI-enabled data services, with exposure to Iceberg, OpenSearch, and event-driven architectures while embracing security and observability best practices.

Qualifications

• 5+ years building backend or distributed cloud systems.
• BS in computer science or related field or equivalent experience.
• Strong proficiency in Java with production services experience.
• Hands-on experience with cloud-native architectures on AWS (microservices, containers, serverless).
• Experience with Python for cloud automation or AI tooling.
• Experience with streaming systems (Kafka/Kinesis).
• Strong SQL and relational DB skills (PostgreSQL/MySQL).

Responsibilities

• Design and build cloud-native backend systems for the platform.
• Architect and implement scalable backend services (Java) on AWS.
• Design for multi-tenant, resilient, elastic architectures.
• Develop event-driven data processing and orchestration
• Own service interfaces, APIs, and backend abstractions.
• Incorporate open table formats like Apache Iceberg for data access.

Skills

Java

Python

SQL

AWS

Docker

Kubernetes

Apache Iceberg

OpenSearch

Kafka/Kinesis

Distributed systems

Education

Bachelor’s degree in computer science or related field

Tools

Docker

Kubernetes

EKS

OpenSearch

Apache Iceberg

Delta Lake

Apache Hudi

Job description

SAS is hiring a Software Developer – Data Services for a hybrid role in Cary, NC. You will design and build cloud-native backend systems, focusing on scalable, multi-tenant platforms and real-time processing in a modern AWS-based environment.

Join a team advancing AI-enabled data services, with exposure to Iceberg, OpenSearch, and event-driven architectures while embracing security and observability best practices.