Software Engineering Principal Architect

Key Responsibilities: 

• Design and architect scalable, reliable, and high-performance cloud-based platforms for AI applications. 

• Collaborate with cross-functional teams including software engineers, data scientists, and product managers to define platform requirements and develop solutions. 

• Optimize platform performance, reliability, and security through continuous monitoring, testing, and refinement. 

• Ensure applications security by implementing robust authentication, authorization, and data protection measures. 

• Lead the development and implementation of AI algorithms, models, and applications in cloud environments. 

• Stay abreast of emerging technologies, industry trends, and best practices in AI, cloud computing, and software engineering. 

• Provide technical guidance, mentorship, and support to junior team members. 

Qualifications: 

• Bachelor's or Master's degree in Computer Science, Software Engineering, or related field. 

• Proven experience (15+ years) in software engineering, architecture design, and development of cloud-based platforms. 

• Expertise in cloud computing platforms such as AWS, Azure, or Google Cloud Platform. 

• Strong proficiency in programming languages such as Java C# or Python. 

• Solid understanding of distributed systems, microservices architecture, and containerization technologies (e.g., Docker, Kubernetes). 

• Excellent problem-solving skills, with a focus on innovation, efficiency, and scalability. 

• Strong communication and collaboration skills, with the ability to work effectively in a fast-paced, team-oriented environment. 

• Expertise in implementing security best practices and protocols for cloud-based-platforms, ensuring data privacy, confidentiality and integrity 

• Knowledge of DevOps practices, CI/CD pipelines, and infrastructure as code. 

Preferred Qualifications: 

• Experience with mobile applications design and delivery is a plus. 

• Certified Cloud Practitioner (AWS/Azure) 

• Familiarity with big data technologies and analytics platforms. 

• Contributions to open-source projects or relevant certifications are a plus.

​This position offers the opportunity for a hybrid work environment (2 days a week in office), providing flexibility and accessibility for qualified candidates.