Principal Software Engineer

We are hiring a Principal Software Engineer for a fast growing SaaS company based in Dubai. This is a senior individual contributor role responsible for defining the services and platform framework that shapes the productivity and output of the entire tech team.

The role

• Define and design the overall architecture, services and platform framework for the company's SaaS offerings
• Establish best practices for system design, modularity and maintainability to enhance engineering productivity
• Guide the technology roadmap, ensuring scalability, security and high availability
• Ensure consistency in API design, data models and microservices architecture
• Evaluate and recommend new technologies, tools and frameworks to improve system performance
• Mentor and guide software engineers, fostering a culture of technical excellence and innovation
• Lead architecture reviews, code audits and system optimisation initiatives
• Balance trade offs between performance, cost and time to market
• Work closely with Product and Engineering leadership to align technical strategy with business goals

What we are looking for

• 10 or more years of experience in software engineering or platform engineering roles
• Proven expertise in designing and scaling cloud based SaaS platforms on AWS, GCP or Azure
• Strong background in microservices, event driven architecture and distributed systems
• Deep knowledge of modern backend technologies such as Node.js, Java, Python or Go
• Experience with SQL, NoSQL and time series databases, including optimising data models
• Proficiency in designing and implementing API gateways, authentication and security best practices
• Hands on experience with CI/CD pipelines, DevOps and Infrastructure as Code tools such as Terraform, Kubernetes and Helm
• Strong understanding of observability, logging and monitoring strategies
• Ability to lead technical discussions, conduct architecture reviews and drive decision making across teams

Nice to have

• Experience in fast growing SaaS environments with complex architecture
• Knowledge of machine learning infrastructure and AI powered applications
• Strong focus on developer experience and productivity improvements
• Cloud certifications in AWS or GCP