Solution Architect with Microsoft Azure, Travel Platform

We are looking for a Solution Architect to help translate business goals into scalable, secure, and maintainable technical solutions. You will work across product discussions, architecture design, technical reviews, and cross team collaboration to support clear requirements and consistent engineering practices.

This project is centered on a modern travel focused platform with cloud native services, distributed systems, data integrations, and observability. It aims to improve productivity, quality, security, reliability, and time to market through consistent architecture principles and implementation ready technical solutions.

• Define and communicate target architecture aligned with business objectives and product strategy
• Design scalable and secure solutions across cloud native applications APIs data platforms integrations and distributed systems
• Guide the adoption of Azure services containerized workloads event driven architecture Snowflake and Datadog
• Evaluate architectural alternatives and document trade offs risks dependencies and recommendations
• Identify opportunities to simplify systems reduce technical debt and improve platform reusability
• Partner with stakeholders to write review validate and improve product and technical requirements
• Translate business needs into clear testable and technically feasible requirements
• Identify gaps assumptions dependencies integration constraints and architectural risks before development starts
• Help teams define acceptance criteria API contracts data requirements system boundaries and testing strategies
• Guide engineering teams in adopting architectural directions standards reusable patterns and decision records
• Review proposed designs and significant technical changes and provide timely feedback
• Help identify and manage architectural dependencies across teams products platforms and shared services
• Drive responsible adoption of AI capabilities across the software development lifecycle
• Evaluate AI enabled tools frameworks and platforms based on value security reliability maintainability and cost
• Define architectural patterns for integrating AI services into applications
• Establish guidelines for AI generated code content validation data protection and secure AI tool usage
• Promote AI assisted testing including test generation regression coverage API validation and failure analysis
• Measure engineering and delivery outcomes using relevant performance and quality indicators
• Lead by example with clean architecture secure coding effective testing and maintainable implementation practices
• Help teams improve CI/CD pipelines automated testing deployment strategies infrastructure as code and delivery reliability