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.