Cloud Architect-Application Development-Applications Development Engineering

Technical Architect with a strong background in software engineering, data science, and DevOps to lead the design, development, and deployment of scalable machine learning and data science applications. The ideal candidate will have hands-on experience with cloud environments, MLOps, CI/CD pipelines, and multi-tenant architecture. This role requires both technical leadership and the ability to collaborate across cross-functional teams to drive innovation and operational excellence.

1. Solution Architecture & System Design

• Architect scalable, reusable data science and machine learning pipelines leveraging cloud services such as AWS SageMaker, Textract, and Comprehend.


• Design multi-tenant systems with robust application deployment architectures and rate-limiting mechanisms to ensure high availability and performance.


• Translate custom client requirements into scalable technical architecture, conducting impact assessments and delivery planning.

2. Development & Deployment Leadership

• Lead development and deployment of complex data science and information extraction solutions in client cloud environments.


• Manage and optimize CI/CD pipelines for continuous delivery of data science applications.


• Own the tenant onboarding process and manage lifecycle operations for multi-tenant deployments.

3. DevOps & MLOps Management

• Oversee DevOps and MLOps teams to ensure reliable, consistent releases and maintenance of deployed products.


• Collaborate with internal and client DevOps teams to implement best practices and streamline application-specific DevOps workflows.


• Monitor and enhance system performance and operational stability through effective pipeline and infrastructure management.

4. Cross-functional Team Collaboration & Leadership

• Drive collaboration between engineering, data science, delivery, and leadership teams to align technical solutions with business goals.


• Mentor and manage software engineers, DevOps, and MLOps personnel to foster a culture of continuous improvement.


• Represent the technical architecture team in leadership discussions, providing insights and recommendations for strategic decision-making.

5. Stakeholder Engagement & Technical Advocacy

• Act as a key technical advisor during client engagements, translating technical complexities into clear business value propositions.


• Support internal business initiatives, including technical demonstrations, competitions, and strategic presentations.


• Continuously gather feedback to iterate on solutions and drive product innovation.

• Bachelor’s degree in computer science, Information Technology, Business Administration, or related field.


• 7+ years of experience spanning software engineering, data science, and DevOps roles.


• Proven expertise in cloud platforms (AWS preferred), MLOps, and CI/CD pipeline design and management.


• Strong programming skills and hands-on experience with data science application development and deployment.


• Experience managing multi-tenant SaaS or ML platforms.


• Strong leadership, communication, and stakeholder management skills.