- 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