AI-Augmented Software Engineer

Join a forward-thinking engineering team building cloud-native, data-intensive software solutions that help organizations optimize technology investments and manage complex IT environments. In this role, you will develop backend services, APIs, integrations, and data pipelines using modern programming languages and cloud technologies. You will leverage AI-assisted development tools to accelerate coding, testing, debugging, and problem-solving while maintaining high standards of software quality. Working alongside experienced engineers, you will take ownership of features from implementation through testing and deployment. You will contribute to scalable distributed systems, automated workflows, and reliable production services. This opportunity is ideal for an early-career software engineer eager to strengthen technical expertise, embrace AI-powered engineering practices, and grow in a collaborative, pragmatic, and innovation-driven environment.

• Professional Experience: Approximately 1–2 years of professional software engineering experience, primarily focused on backend development.

• Programming Skills: Practical experience with Go, Python, or another comparable backend programming language, with the ability to write clear and maintainable code.

• Core Engineering Knowledge: Good understanding of data structures, algorithms, debugging techniques, version control, automated testing, and modern software development practices.

• API and Database Experience: Familiarity with REST APIs, relational databases, and the development or integration of backend services.

• Cloud and Distributed Systems: Basic understanding of cloud-native applications, containerized environments, and distributed system concepts.

• AI Development Tools: Willingness and ability to incorporate AI-assisted coding tools into daily engineering workflows, critically evaluate generated code, and take ownership of the resulting implementation.

• Problem-Solving: Strong analytical thinking and the ability to break down technical challenges, investigate issues methodically, and develop practical, reliable solutions.

• Communication and Collaboration: Good communication skills, openness to feedback, and the ability to work effectively with colleagues across engineering teams.

• Preferred Technical Skills: Familiarity with AWS, Kubernetes, Docker, Terraform, PostgreSQL, asynchronous processing, message queues, event-driven architectures, gRPC, or service-to-service APIs.

• Additional Advantages: Exposure to data-processing services, multi-tenant SaaS applications, external cloud or SaaS integrations, and AI/ML platforms or APIs is beneficial.