Software Engineer

• Develop, test, and improve software applications as part of an Agile scrum team
• Write clean, maintainable code, participate in code reviews, and create unit tests with guidance from experienced engineers
• Identify opportunities to apply new technologies, automation, and engineering practices to solve real business challenges
• Partner with Product Managers, Senior Engineers, Quality Engineers, Architects, and business partners to understand requirements, prioritize features, and deliver value
• Work across APIs, services, microservices, user interfaces, mobile experiences, cloud platforms, or data-driven solutions
• Explore responsible use of AI-powered developer tools, machine learning concepts, and intelligent automation
• Participate in graduate program learning, mentorship, networking, community, and career-development experiences
• Learn structured onboarding, code quality, testing, secure engineering practices, cross-functional delivery, technical solution design, communication, mentorship, feedback, and leadership

Requirements

• Must have earned a Bachelor’s or Master’s degree in Computer Science, Computer Engineering, Software Engineering, or another technical field before the full-time start date
• Graduation date between December 2026 and June 2027
• Experience developing products or projects in an academic, personal, internship, research, open-source, hackathon, or professional setting
• Exposure to backend, frontend, cloud, mobile, AI/machine learning, data, API, or full-stack product development
• Familiarity with Java, JavaScript, React, TypeScript, Python, C#, Go, Kotlin, Node.js, REST APIs, SQL, Spring, or similar frameworks and tools
• Exposure to cloud-native development, microservices, containerization, CI/CD, DevOps, automated testing, accessibility, or secure software development concepts
• Interest in AI-powered development tools, generative AI, intelligent automation, responsible AI, or machine learning fundamentals
• Preferred: programming experience using languages such as Java, JavaScript, Python, C#, Go, Kotlin, Node.js, or similar technologies
• Preferred: familiarity with AI-enabled applications, APIs, data pipelines, model inference endpoints, evaluation workflows, or cloud-based AI services
• Preferred: awareness of responsible AI practices
• Preferred: experience with version control, testing, code reviews, Agile methodologies, and collaborative development
• Preferred: strong communication, teamwork, collaboration, learning agility, and ability to learn emerging technologies

Core Competencies

Demonstrates expertise in software development across various platforms, including backend, frontend, and cloud environments, with a strong foundation in programming languages such as Java, JavaScript, and Python. Proficient in Agile methodologies, automated testing, and collaboration within cross-functional teams to deliver high-quality software solutions.