How you'll make an impact

• Design, build, and maintain scalable, secure systems for our SaaS platform
• Develop and deliver new features across the platform
• Optimize system performance, reliability, and security in a cloud-native environment
• Collaborate closely with the product team to shape and deliver quality features
• Partner with the engineering team to uphold and enhance high standards in engineering and software architecture
• Integrate AI-powered tools and solutions to enhance productivity and workflow efficiency.

What we're looking for

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field
• Minimum of 4 years of professional experience in software engineering, ideally within a SaaS or platform-focused company
• Experience in Modern Software Architecture: Proven track record of developing and delivering features across the full stack. As we integrate AI into our development practices, a deep understanding of software development principles and system architecture is more critical than expert proficiency in a specific technology stack. Familiarity with our core ecosystem is a strong asset, including: Frontend (TypeScript/JavaScript, React), Backend (.NET), Data & Infrastructure (Microsoft SQL, GitHub, Docker, Kubernetes).
• AI Adaptability: Demonstrated openness to work with and integrate AI solutions into your daily tasks and workflow.
• Strong commitment to best-in-class software engineering practices.
• Proactive, collaborative, and able to think critically.
• Fluent in English (spoken and written).

Nice to Have:

• Experience with CI/CD tools (e.g., Jenkins, GitHub Actions)
• Familiarity with Python
• Knowledge of security best practices in cloud or hybrid environments
• Exposure to MLOps, model lifecycle management, or model risk frameworks
• Interest or experience in AI governance, fairness, explainability, or regulatory compliance

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