Application Architect

4 days ago


Mumbai, India Valiance Solutions Full time
About the Role:
We are seeking an experienced Application Architect with a strong background in designing and implementing enterprise-grade applications. This role requires a hands-on leader who can design scalable, secure, and high-performance systems while managing a team of talented software engineers, Gen AI developers, and NLP engineers. The successful candidate will oversee the end-to-end development and deployment of AI-driven enterprise applications on Google Cloud.
Key Responsibilities:
Architecture Design:
Define the architecture of enterprise applications considering scalability, performance, and security best practices.
Create high-level architectural specifications, ensuring alignment with business goals.
Optimize applications for cloud-native environments, leveraging Google Cloud Platform .
Technical Leadership:
Lead a cross-functional team of software engineers, Gen AI developers, and NLP engineers.
Provide technical direction, mentoring, and support to the team.
Oversee the development lifecycle, from requirement gathering to deployment and monitoring.
Technology Expertise:
Work hands-on with technologies including React.js , Python , Kubernetes , and Google Cloud services.
Integrate Gen AI and NLP components into enterprise applications.
Implement containerized and microservices-based architectures using Kubernetes.
Security & Performance:
Ensure all applications meet stringent security requirements and performance benchmarks.
Conduct regular code and design reviews to identify and mitigate potential risks.
Collaboration & Communication:
Collaborate with stakeholders to understand business needs and translate them into technical requirements.
Work closely with DevOps and cloud teams to ensure seamless application deployment.
Required Skills & Experience:
10+ years of experience in software development, including a minimum of 4 years in an architecture role.
Expertise in React.js and Python for building enterprise-grade applications.
Strong experience with Kubernetes for container orchestration and microservices deployment.
Hands-on experience with Google Cloud Platform (GCP), including services like GKE, Cloud Functions, and BigQuery.
Proven ability to design and deliver scalable, secure, and high-performance systems.
Experience in leading teams working on AI/ML applications, particularly in Gen AI and NLP domains.
Deep understanding of security standards, performance tuning, and compliance requirements for enterprise applications.

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