Cresta Senior Software Engineer responsible for designing and maintaining scalable backend architectures for AI Agent solutions. Focus on optimizing server performance, scalability, and reliability in production environments.
Responsibilities
As a Senior Software Engineer, your goal will be to ensure that our AI Agents are backed by the most reliable and scalable server solutions. This includes designing and maintaining the server architecture that handles real-world, high-volume interactions and ensures high availability and performance. While we’re focused on server optimization and data management rather than pure research, you’ll be working with some of the most advanced technologies in the cloud and server space.
This is a unique opportunity to shape the future of AI at Cresta by solving complex problems and bringing breakthrough AI advancements into production environments.
Design, develop, and maintain scalable and robust backend architectures for Cresta’s AI Agent solutions and proprietary models.
Collaborate with cross-functional teams including frontend engineers, machine learning engineers to ensure seamless integration of AI Agents into Cresta’s customer solutions.
Lead initiatives to enhance system scalability and reliability in production environments, focusing on backend services that support AI functionalities.
Drive efforts to optimize server response times, process large volumes of data efficiently, and maintain high system availability.
Innovate and implement security measures, cost-reduction strategies, and performance improvements in backend systems supporting AI Agents.
Qualification
Required
Bachelor’s degree in Computer Science or a related field.
5+ years of experience in backend system architecture, cloud services, or related technology fields.
Proficient in designing and maintaining clear and robust APIs with a strong understanding of protocols including gRPC, REST.
Previous experience working with Virtual Agent or AI Agent systems.
Experience in high-performance database schema design and query optimization, including knowledge of SQL and NoSQL databases.
Experience in containerized application deployment using Kubernetes and Docker in microservices architectures.
Experience with cloud environments such as AWS, Azure, or Google Cloud, with a strong understanding of cloud security and compliance standards.
