Java Architect

Role- JAVA Application Architect

Location : Chennai (onsite 5 days a week)

Total exp- 12-20 yrs only not more than that

Key Skills & Technologies

Backend:

• Java/J2EE, Spring Boot, Spring MVC, Microservices.
• RESTful API design and implementation.

Frontend:

JavaScript, HTML5, CSS3, and modern frameworks like ReactJS.

Data Management:

SQL, Relational Databases (e.g., MySQL, PostgreSQL, Teradata), and data pipeline design.

Cloud & DevOps:

• Experience with cloud platforms (e.g., AWS, Azure, GCP).
• Containerization (Docker) and orchestration (Kubernetes).
• CI/CD pipelines, Git, Jenkins, and Maven.

Experience & Qualifications

• 12+ years of experience in full-stack development and enterprise architecture.
• Proven experience in a Principal Architect or similar leadership role.

Core Responsibilities

Architecture & Design:

• Define the overall technical blueprint for full-stack applications, encompassing both backend and frontend layers.
• Design and implement system integrations with enterprise tools and data platforms.
• Establish high-level architectural patterns, design principles, and coding standards.

Technical Leadership:

• Provide architectural guidance and mentorship to development, data engineering, and DevOps teams.
• Lead code reviews and technical discussions to ensure quality and adherence to standards.
• Collaborate with stakeholders to translate business requirements into scalable, technical solutions.

Non-Functional Requirements:

• Define and ensure the achievement of non-functional requirements like scalability, performance, security, and observability.
• Ensure systems align with cloud governance, security policies, and compliance needs.

Innovation:

• Evaluate and introduce new tools, frameworks, and technologies to enhance development and user experience.
• Perform Proofs of Concept (POCs) for emerging technologies.

Architectural Concepts:

• Object-Oriented Design, functional design patterns, and various architectural patterns.
• System design, performance optimization, and data pipeline architecture.