Solution Architect - Fullstack

What you'll do

• Participate in project planning, effort estimation, and risk assessment
• Translate business requirements into technical specifications and architecture
• Ensure alignment of technical roadmap with project timelines and deliverables
• Create and maintain architecture diagrams, design documents, and coding standards
• Conduct code reviews, design reviews, and performance audits
• Guide developers on best practices, framework usage, and technical decisions
• Ensure scalability, security, and maintainability of the system

Requirements

• Bachelor’s degree in computer science, Information Technology, or related field
• Certifications in cloud architecture (e.g., AWS Certified Solutions Architect, Azure Architect Expert) are a plus
• Proficiency in modern frontend frameworks like React.js, NextJS, Angular, or Vue.js
• Expertise in component-based architecture, state management (Redux, Vuex), responsive design, and performance optimization
• Experience integrating frontend with RESTful or GraphQL APIs
• Strong command over backend technologies: Node.js, Java, .NET Core, or Python (Django/Flask)
• Experience building scalable APIs, handling asynchronous operations, robust error handling and logging
• Experience with relational databases (PostgreSQL, MySQL) and NoSQL databases (MongoDB, Redis)
• Experience with Docker & Kubernetes for containerization and orchestration
• Experience with CI/CD tools like Jenkins, GitHub Actions
• Hands-on experience with cloud platforms AWS, Azure, or Google Cloud
• Experience designing cloud-native solutions, implementing IAM policies and secure cloud configurations
• Experience designing and documenting RESTful and GraphQL APIs
• Knowledge of security best practices including OAuth2, JWT, OWASP guidelines
• Experience designing systems using Microservices, Serverless, or Event-Driven Architecture
• Experience monitoring and tracing using tools like Open Telemetry or Jaeger
• Ability to collaborate with project managers and development teams
• Good-to-have: AI/ML integration or data engineering experience
• Good-to-have: Familiarity with Infrastructure as Code (Terraform, CloudFormation)
• Good-to-have: Knowledge of performance tuning and cost-efficient architecture
• Good-to-have: Exposure to Agile/Scrum methodologies
• Good-to-have: Understanding of enterprise integration patterns

Tech stack