Cloud Architect – Application Development

Jobtailor; Pasay; On-site; PHP 2,000,000 - 4,200,000; Full time

Job summary

Jobtailor seeks a senior Architect to design scalable data science and ML pipelines on AWS, overseeing multi-tenant SaaS deployments and robust CI/CD processes. You will mentor engineers and align solutions with business goals across delivery teams.

The role requires 7+ years across software engineering, DS, and DevOps, with strong leadership and stakeholder management capabilities. This is an on-site position in Metro Manila with leadership exposure to client engagements.

Qualifications

• Bachelor’s degree in CS, IT, Business Admin, or related field.

Responsibilities

• Architect scalable data science and ML pipelines on AWS and cloud services.
• Design multi-tenant systems with robust deployment architectures and rate-limiting for high availability.
• Translate client requirements into scalable technical architecture and plan delivery.
• Lead development and deployment of complex DS and information extraction solutions in client clouds.
• Manage and optimize CI/CD pipelines for continuous delivery of DS apps.
• Own tenant onboarding and lifecycle operations for multi-tenant deployments.

Skills

Cloud platforms (AWS)

MLOps

CI/CD pipelines

Multi-tenant SaaS

Data science

DevOps leadership

Stakeholder management

Education

Bachelor’s degree in Computer Science / IT / Business Admin

Tools

AWS SageMaker

Textract

Comprehend

Job description

Responsibilities

• 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.
• 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.
• 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.
• 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.
• 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.

Requirements

• 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.

Core Competencies

Demonstrates expertise in architecting scalable data science and machine learning pipelines using AWS services, while managing multi‑tenant systems and CI/CD processes. Proven ability to lead cross‑functional teams and translate technical requirements into effective solutions that align with business objectives.