Solution Architect

We are seeking an experienced Solution Architect to design and deliver scalable, secure, and high-performance technology solutions. The role involves translating business requirements into robust technical architectures, guiding engineering teams, and ensuring solutions align with best practices in cloud, API, security, and DevOps.

Key Responsibilities

• Design end-to-end solution architectures for web applications, APIs, cloud platforms, and enterprise systems.

• Translate business and functional requirements into technical solution designs and architecture documents.

• Define system components, integrations, data flows, and technology stacks.

• Ensure architectural alignment with security, scalability, performance, and availability requirements.

• Collaborate with development, DevOps, security, and infrastructure teams throughout the delivery lifecycle.

• Provide technical leadership and guidance during development and implementation phases.

• Review and validate designs, code, and deployments for architectural compliance.

• Support CI/CD and DevSecOps practices, embedding security and automation into solution designs.

• Evaluate new technologies, tools, and platforms and recommend adoption where appropriate.

• Identify technical risks and define mitigation strategies.

Required Skills & Experience

• 5+ years of experience in software development, systems architecture, or solution design.

• Proven experience designing cloud-based and API-driven architectures.

• Strong understanding of microservices, RESTful APIs, and event-driven systems.

• Experience with authentication, authorization, and security best practices (OAuth2, JWT, IAM).

• Hands-on knowledge of CI/CD pipelines and modern DevOps workflows.

• Ability to balance technical depth with business objectives.

Technical Stack & Knowledge Areas

• Cloud platforms: AWS, Azure, or GCP.

• Backend technologies: Python, Java, Node.js, or similar (hands-on experience preferred).

• API gateways, service meshes, and integration patterns.

• Databases: relational and NoSQL systems.

• Containerization and orchestration: Docker, Kubernetes.

• Monitoring, logging, and performance optimization tools