Posted 18 June, 2026
Principal Architect- JAVA
NR Consulting
PAN India
Full Time
Reference: 365_463738_26-06568
Title: Principal Architect- JAVA
Location: Principal Architect- JAVA
Exp: 15+ years
Job Description:
Key Responsibilities
• Own and drive end-to-end solution architecture across UI, backend, APIs, data, and cloud layers.
• Design and deliver scalable, secure, and high-performance applications using microservices, API-first, and event-driven architectures.
• Define and enforce architecture standards, governance frameworks, and reusable components.
• Lead architecture reviews, design discussions, and code reviews to ensure quality and consistency.
• Collaborate with cross-functional teams to align business requirements with technical solutions.
• Lead modernization initiatives, including legacy transformation to cloud-native architectures.
• Drive adoption of AI-powered engineering practices across the development lifecycle.
• Mentor and guide engineering teams, fostering a culture of technical excellence and continuous improvement.
• Support complex problem-solving, performance tuning, and production issue resolution.
________________________________________
Technical Skills & Expertise
Core Engineering & Architecture
• Strong expertise in software architecture, design patterns, and full-stack development.
• Hands-on experience across UI, backend, APIs, data platforms, and cloud ecosystems.
• Deep understanding of the complete SDLC (Requirements → Design → Development → Testing → Deployment → Support).
Programming & Frameworks
• Strong hands-on expertise in Java ecosystem, including:
o Struts
o Spring Boot
o Spring Cloud
o Microservices architecture
• Working knowledge of modern stacks:
o Java / Spring Boot, .NET, Node.js, Python
o Frontend frameworks: React / Angular
Cloud & DevOps
• Experience with AWS, Azure, or GCP
• Strong exposure to:
o Docker, Kubernetes
o CI/CD pipelines and DevOps practices
o Automated testing and release management
o Observability (logging, monitoring, tracing)
________________________________________
AI-Driven Engineering
• Practical experience leveraging AI engineering tools such as:
o GitHub Copilot
o Claude / Codex (or similar tools)
• Ability to embed AI-first workflows for:
o Code generation and testing
o Design and documentation
o Productivity acceleration
• Driving automation, quality improvements, and faster delivery cycles using AI capabilities.
________________________________________
Process & Methodologies
• Strong experience in Agile delivery models and DevOps culture
• Exposure to modern engineering practices, continuous integration, and continuous deployment
________________________________________
Leadership & Soft Skills
• Excellent communication and stakeholder management skills
• Proven ability to mentor, coach, and influence engineering teams
• Strong analytical and problem-solving skills
• Passion for innovation, AI-driven transformation, and continuous learning
________________________________________
Good to Have
• Experience in large-scale enterprise transformations
• Exposure to multi-cloud or hybrid cloud architectures
• Prior experience in Life Sciences / Healthcare / Enterprise domains
Location: Principal Architect- JAVA
Exp: 15+ years
Job Description:
Key Responsibilities
• Own and drive end-to-end solution architecture across UI, backend, APIs, data, and cloud layers.
• Design and deliver scalable, secure, and high-performance applications using microservices, API-first, and event-driven architectures.
• Define and enforce architecture standards, governance frameworks, and reusable components.
• Lead architecture reviews, design discussions, and code reviews to ensure quality and consistency.
• Collaborate with cross-functional teams to align business requirements with technical solutions.
• Lead modernization initiatives, including legacy transformation to cloud-native architectures.
• Drive adoption of AI-powered engineering practices across the development lifecycle.
• Mentor and guide engineering teams, fostering a culture of technical excellence and continuous improvement.
• Support complex problem-solving, performance tuning, and production issue resolution.
________________________________________
Technical Skills & Expertise
Core Engineering & Architecture
• Strong expertise in software architecture, design patterns, and full-stack development.
• Hands-on experience across UI, backend, APIs, data platforms, and cloud ecosystems.
• Deep understanding of the complete SDLC (Requirements → Design → Development → Testing → Deployment → Support).
Programming & Frameworks
• Strong hands-on expertise in Java ecosystem, including:
o Struts
o Spring Boot
o Spring Cloud
o Microservices architecture
• Working knowledge of modern stacks:
o Java / Spring Boot, .NET, Node.js, Python
o Frontend frameworks: React / Angular
Cloud & DevOps
• Experience with AWS, Azure, or GCP
• Strong exposure to:
o Docker, Kubernetes
o CI/CD pipelines and DevOps practices
o Automated testing and release management
o Observability (logging, monitoring, tracing)
________________________________________
AI-Driven Engineering
• Practical experience leveraging AI engineering tools such as:
o GitHub Copilot
o Claude / Codex (or similar tools)
• Ability to embed AI-first workflows for:
o Code generation and testing
o Design and documentation
o Productivity acceleration
• Driving automation, quality improvements, and faster delivery cycles using AI capabilities.
________________________________________
Process & Methodologies
• Strong experience in Agile delivery models and DevOps culture
• Exposure to modern engineering practices, continuous integration, and continuous deployment
________________________________________
Leadership & Soft Skills
• Excellent communication and stakeholder management skills
• Proven ability to mentor, coach, and influence engineering teams
• Strong analytical and problem-solving skills
• Passion for innovation, AI-driven transformation, and continuous learning
________________________________________
Good to Have
• Experience in large-scale enterprise transformations
• Exposure to multi-cloud or hybrid cloud architectures
• Prior experience in Life Sciences / Healthcare / Enterprise domains
