Technical Architect

Role & responsibilities

Architecture & Cloud Strategy

• Redesign monolithic applications into scalable microservices using Domain-Driven Design and event-driven patterns.
• Define architectural blueprints for hybrid, cloud, and on-prem environments using AWS, Azure, or GCP.
• Translate complex business requirements into secure, scalable technical solutions.

Technical Leadership

• Lead Agile teams to deliver end-to-end solutions.
• Mentor developers on architecture, performance optimization, and best practices.
• Maintain technical documentation for traceability and knowledge sharing.

Cloud, DevOps & Deployment

• Implement hybrid and multi-cloud strategies using infrastructure-as-code tools such as Terraform and CloudFormation.
• Ensure portability, scalability, security, and cost-efficiency across deployment environments.
• Lead secure migration of legacy systems to modern cloud infrastructures.

AI in SDLC (Preferred)

• Evaluate and prototype AI tools to enhance software development (e.g., intelligent testing, code generation).
• Contribute to strategic AI/ML and MLOps adoption throughout the software development lifecycle.

Collaboration & Client Engagement

• Work closely with engineering, product, and data science teams.
• Collaborate with clients on requirements, solution architecture, and delivery.

Performance, Security & Data Management

• Optimize systems for real-time IoT data processing and analytics.
• Implement and maintain robust security across applications and infrastructure.
• Design and manage scalable database systems using SQL and NoSQL technologies.

Preferred candidate profile

Education

Experience

• 8+ years in software architecture and development with cloud expertise
• Proven success in transforming legacy systems into microservices-based architectures
• Experience in designing and deploying solutions across AWS, Azure, or GCP

Technical Skills

• Programming Languages: Python, Java (Spring Boot)
• Containers & Orchestration: Docker, Kubernetes

• Messaging Systems: Kafka, RabbitMQ, AWS SNS/SQS

• Databases: PostgreSQL, Oracle, SQL Server, MongoDB, Elasticsearch

• CI/CD & DevOps Tools: GitLab, Jenkins, GitHub Actions, Azure DevOps

• Infrastructure as Code: Terraform, CloudFormation
• API Management & Security: REST/gRPC APIs, API Gateways, IAM, WAF
• Monitoring: Prometheus, Grafana, ELK Stack, CloudWatch, Azure Monitor

Preferred Skills

• AI/ML: Experience with tools like GitHub Copilot, TensorFlow, PyTorch, scikit-learn, and MLOps practices
• Microservices Enhancements: Familiarity with service mesh technologies (e.g., Istio, Linkerd)
• Frontend Architecture Awareness: Understanding of JavaScript, TypeScript, React
• Certifications: AWS, Azure, or Google Cloud Architect-level certifications
• PLM (Product Lifecycle Management): Experience with PLM systems in manufacturing environments
• Statistical Computing: Familiarity with R for data analysis