Software Architect

What is the key Purpose of the Role?

scalable

secure

maintainable

cost-effective

cloud-native technologies

event-driven systems

Responsibilities

• Hands-On Architecture: Actively contribute to the design and development of enterprise-grade software solutions that are scalable, secure, cost-effective, and maintainable.
• Implementation Support: Work closely with development teams, offering practical, hands-on guidance throughout the full software lifecycle — from concept to deployment.
• Architecture Design: Collaborate on system architecture decisions, ensuring technical solutions align with business goals and modern engineering standards.
• Cloud-Native Development: Support the adoption and implementation of cloud technologies, especially on Microsoft Azure, including components like AKS and managed data storage technologies.
• Streaming and Scalability: Participate in the design of distributed, event-driven systems using technologies like Kafka, ensuring high availability and responsiveness at scale.
• AI Integration Awareness: Contribute to solution designs that may involve AI capabilities, understanding where intelligent services or automation can enhance business value.
• Developer Efficiency: Promote the use of AI-enhanced developer tools like GitHub Copilot, Cursor, and similar IDE-integrated assistants to improve productivity, code quality, and consistency across teams.
• Cross-Functional Collaboration: Work closely with product, engineering, DevOps, and security teams to ensure architectural solutions meet all functional and non-functional requirements.
• Documentation and Standards: Contribute to clear architectural documentation and help define development standards and best practices across teams.
• Continuous Learning: Stay current on technology trends and emerging tools, especially in cloud computing, AI, DevOps, and distributed systems.
  

Requirements

• Bachelor’s or Master’s degree in Computer Science, Software Engineering, or related field.
• 5–8 years of professional experience in software engineering, including direct involvement in architecture and system design.
• Proven track record of delivering hands-on, real-world solutions — not just designing, but actively contributing to implementation and troubleshooting.
• Strong understanding of designing enterprise-grade systems that are scalable, secure, cost-conscious, and maintainable.
• Practical experience with Azure Cloud services, including compute (Kubernetes on Azure (AKS), storage and networking.
• Exposure to streaming platforms like Kafka, and an understanding of designing for high-throughput, event-driven environments.
• Deep expertise in at least one modern back-end programming language (e.g. C#, Java, C++), with the ability and willingness to learn new technologies as needed.
• Solid experience with data systems, including both SQL and NoSQL databases. Understanding of data modeling, performance tuning, and operational considerations at scale. Experience with OLTP and/or OLAP systems is a plus.
• Familiarity with integrating or leveraging AI services or frameworks in software architectures is a plus.
• Proficiency in using AI-assisted development tools such as GitHub Copilot, Cursor, or similar to accelerate development, enhance code quality, and improve developer workflows.
• Competent in modern development tools and practices: version control, CI/CD, infrastructure as code, observability, and performance tuning.
• Strong communication skills with the ability to clearly explain technical decisions to both engineers and stakeholders.
• A pragmatic, outcome-focused mindset that balances technical excellence with business needs and delivery timelines.