Technical Solutions Architect

Develop scalable, secure, and high-performing application architectures for enterprise and cloud environments. Create and present High-Level Design (HLD) and architectural blueprints to stakeholders. Assess and optimize existing applications while designing a future-state architecture Lead end-to-end implementation of enterprise applications, ensuring alignment with business and technical requirements. Collaborate with development teams to translate architecture into actionable solutions. Communicate architectural decisions clearly and persuasively to technical and non-technical audiences. Defend design choices and ensure adherence to best practices and standards. Explore and integrate AI-driven solutions into enterprise applications where applicable. Stay ahead of emerging technologies and trends in AI, cloud, and enterprise architecture. Requirements 10-15+ years in software architecture and enterprise application development. Hands-on experience with cloud platforms (AWS, Azure, GCP) and native enterprise applications. Programming Languages: Java, Python, and JavaScript/TypeScript. Frameworks: Spring Boot, Angular, React, Node.js. Cloud Platforms: AWS, Azure, and GCP (including services like Lambda, App Services, and Kubernetes). Architecture Patterns: Microservices, Event-Driven Architecture, Domain-Driven Design. Integration: RESTful APIs, GraphQL, SOAP, Message Queues (Kafka, RabbitMQ). Data & Storage: SQL/NoSQL databases (PostgreSQL, MongoDB), Data Lakes. DevOps & CI/CD: Docker, Kubernetes, Jenkins, GitHub Actions, Terraform. Security: OAuth2, SAML, Identity Management. AI/ML Exposure: Familiarity with AI frameworks (TensorFlow, PyTorch) and cloud AI services. Excellent communication and presentation skills. Ability to influence and hold ground in technical discussions with stakeholders. Strong problem-solving and decision-making abilities. Core Competencies Demonstrates extensive experience in software architecture and enterprise application development, with a strong focus on cloud platforms and AI integration. Capable of leading end-to-end implementation while ensuring alignment with business and technical requirements. Highest-signal resume keywords Software Architecture Cloud Platforms (AWS, Azure, GCP) Programming Languages (Java, Python, JavaScript/TypeScript) Microservices Architecture DevOps & CI/CD (Docker, Kubernetes, Jenkins) ATS Optimization Keywords Hard Skills Software Architecture Cloud Platforms (AWS, Azure, GCP) Programming Languages (Java, Python, JavaScript/TypeScript) Frameworks (Spring Boot, Angular, React, Node.js) Microservices Architecture RESTful APIs SQL/NoSQL Databases (PostgreSQL, MongoDB) DevOps & CI/CD (Docker, Kubernetes, Jenkins) Security (OAuth2, SAML) AI/ML Exposure (TensorFlow, PyTorch) Soft Skills Excellent Communication Skills Presentation Skills Problem-Solving Abilities Decision-Making Abilities Influencing Skills Industry Keywords Enterprise Application Development Cloud Architecture AI Integration Data Lakes Event-Driven Architecture Tools & Technologies Docker Kubernetes Jenkins GitHub Actions Terraform #J-18808-Ljbffr