Senior Application Architect (12-18 yrs)

Job Description :

WE are looking for Senior Application Architect will play a pivotal role in the design, development, and implementation of scalable, secure, and high-performance B2B SaaS platforms. This individual will be responsible for leading the architecture and design of cloud-based applications, ensuring that all components and services are aligned with the latest industry best practices. The ideal candidate will have deep expertise in cloud architecture, application development, ETL/ELT processes, and cutting-edge technologies like AI and machine learning.

Key Responsibilities :

1. Architecture Design & Development :

- Lead the architecture and design of complex, large-scale B2B SaaS applications.

- Collaborate with cross-functional teams to define and implement technical requirements and solutions.

- Create and maintain architecture blueprints, ensuring scalability, security, and performance.

- Drive the adoption of best practices in application development, cloud computing, and data management.

2. Cloud Architecture :

- Design and implement cloud solutions on AWS, leveraging services like EC2, Lambda, S3, redshift and others.

- Ensure cloud solutions are cost-effective, secure, and scalable, aligned with AWS best practices.

- Develop cloud-native applications and ensure high availability and disaster recovery strategies are in place.

3. Application Development :

- Oversee the development of software solutions using technologies such as React JS, Python, and other modern frameworks.

- Lead and mentor teams in application development best practices, including code quality, testing, and deployment.

- Design and implement data pipelines and ETL/ELT processes to ensure efficient data flow across systems.

4. Data Technologies :

- Architect and design databases using SQL, MSSQL, and NoSQL technologies for optimal performance and scalability.

- Develop and implement data models for structured and unstructured data across various platforms.

- Ensure robust data security and compliance within database solutions.

5. Integration and Automation :

- Leverage iPaaS (Integration Platform as a Service) for seamless integration between applications and third-party systems.

- Develop solutions to automate workflows and enhance system interoperability.

6. AI & Machine Learning :

- Design and implement machine learning and AI solutions to drive product innovation and business value.

- Collaborate with data scientists and other stakeholders to bring AI-powered features into the platform.

7. Information Security :

- Ensure that applications and infrastructure meet the highest standards of security, in line with industry regulations and company policies.

- Work closely with security teams to incorporate security best practices, including encryption, secure coding, and vulnerability management.

8. Leadership & Collaboration :

- Provide leadership and mentorship to development teams, ensuring the successful delivery of high-quality solutions.

- Act as a subject matter expert, offering guidance and recommendations to stakeholders across the organization.

- Collaborate with product managers, business analysts, and senior leadership to drive strategic initiatives.