About the role
Develop, test, and maintain software components and services that support data processing, machine learning inference, model execution, and agent-based workflows. Work with engineers, researchers, and product teams to understand
requirements and implement software solutions. Contribute to the design and implementation of features under the guidance of experienced engineers. Write high-quality, maintainable, and well-tested code following engineering best practices. Participate in debugging, troubleshooting, and resolving issues in development, test, and production environments. Learn and apply principles of software reliability, security, scalability, and operational excellence. Participate in code reviews and technical discussions to improve engineering quality and expand technical knowledge. Contribute to service monitoring, testing, automation, and operational improvements. Continuously learn new technologies, tools, and engineering practices related to cloud services, AI platforms, and distributed systems. Bachelor's Degree in Computer Science, or related technical discipline with proven experience coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience. Experience through internships, academic projects, open-source contributions, or professional software development. Programming experience in one or more languages such as C#, Java, Python, C++, or Go. Understanding computer science fundamentals, including data structures, algorithms, object-oriented programming, and software design. Familiarity with software development practices including source control, testing, debugging, and code reviews. Reliable problem-solving, collaboration, and communication skills. Demonstrated passion for learning and building software systems. Experience through coursework, internships, or projects involving cloud platforms such as Azure, AWS, or GCP. Familiarity with APIs, backend services, distributed systems, or microservice architecture. Exposure to data processing, machine learning systems, or AI applications. Understanding software reliability, monitoring, or operational best practices. Interest in security, AI-driven systems, and large-scale platform engineering. Experience contributing to team-based software projects.
