Software Engineer, Cloud Solutions & Applied AI

What you'll do

• Design, develop, and maintain software components including APIs, backend services, and user-facing features.
• Participate in the full development lifecycle from requirements and design through testing and deployment.
• Lead the development and adoption of AI/ML practices and responsible AI governance processes.
• Establish risk assessment frameworks, testing strategies, and model validation standards for AI solutions.
• Contribute to engineering best practices, automation, and testability to improve reliable software delivery.
• Explore emerging technologies like AI-assisted development to improve product and team effectiveness.
• Provide production support and ensure the scalability and reliability of cloud-based platform solutions.

What we're looking for

• Bachelor's or Master's degree in Computer Science, Software Engineering, or a related technical field, or equivalent practical experience.
• 2–4 years of professional software development experience with strong programming fundamentals and core engineering principles.
• Strong fundamentals in machine learning and data science, including model evaluation, data preparation, feature engineering, and basic statistics.
• Proficiency in one or more modern programming languages such as C#, Java, Python, JavaScript, or TypeScript.
• Foundational knowledge of web application architecture, REST APIs, relational databases, cloud platforms, networking, scalability, queues, and distributed systems.
• Ability to lead the development and adoption of AI/ML practices, risk assessment frameworks, and responsible AI governance processes.
• Exposure to cloud services, containerization, Kubernetes/AKS, CI/CD pipelines, observability tooling, or secure software development (preferred).
• Background in regulated industries such as fintech, capital markets, or enterprise compliance technology (preferred).