Job Description

Job Description:

We are seeking a highly skilled and experienced Senior Architect to lead the design and development of enterprise-grade applications using Angular, Spring Boot, and Microservices architecture. The ideal candidate will also have exposure or working knowledge of Python and Generative AI (Gen AI) technologies, which are a strong plus.

Key Responsibilities:

• Lead architectural design and implementation for scalable, high-performance web applications.
• Design and develop front-end solutions using Angular 10+ and backend services using Spring Boot and Microservices.
• Work closely with product owners, business analysts, and development teams to translate business requirements into technical solutions.
• Ensure application architecture adheres to enterprise guidelines and industry best practices.
• Contribute to cloud-native design and deployment strategies (preferably on AWS or Azure).
• Guide teams on integration patterns, containerization (Docker, Kubernetes), and CI/CD pipelines.
• Advocate for clean code practices, automated testing, and agile delivery.
• Leverage Python for backend tasks or AI integrations when necessary.
• Collaborate with data scientists and ML engineers for Gen AI solution integration (e.g., LLMs, prompt engineering, NLP frameworks).
• Conduct code reviews and mentor junior developers and architects.

Required Skills:

• 10+ years of overall IT experience, with at least 5+ years in a solution or technical architect role.
• Strong hands-on experience with Angular (v10+), Spring Boot, and Microservices architecture.
• Proven expertise in designing and developing distributed systems.
• Solid understanding of REST APIs, GraphQL, JSON, and integration patterns.
• Experience with containerization (Docker) and orchestration (Kubernetes).
• Knowledge of cloud platforms – AWS, Azure, or GCP.
• Strong understanding of DevOps principles and tools (Jenkins, GitHub Actions, Terraform, etc.).

Preferred Skills:

• Proficiency in Python for backend scripting, automation, or AI/ML tasks.
• Exposure to Generative AI technologies such as GPT, LLMs, LangChain, or similar.
• Experience in implementing AI-powered features in enterprise applications.
• Working knowledge of databases like PostgreSQL, MongoDB, and caching strategies (Redis, Memcached).

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