Cloud Engineer

• Develop and execute database queries and conduct data analyses
• Create scripts to analyze and modify data, import/export scripts and execute stored procedures
• Model data by writing SQL queries/Python codes to support data integration and dashboard requirements
• Develop data pipelines that provide fast, optimized, and robust end-to-end solutions
• Leverage and contribute to design/building relational database schemas for analytics. Handle and manipulate data in various structures and repositories (data cube, data mart, data warehouse, data lake)
• Analyze, implement and contribute to building of APIs to improve data integration pipeline
• Perform data preparation tasks including data cleaning, normalization, deduplication, type conversion etc.
• Perform data integration through extracting, transforming and loading (ETL) data from various sources.
• Identify opportunities to improve processes and strategies with technology solutions and identify development needs in order to improve and streamline operations
• Create tabular reports, matrix reports, parameterized reports, visual reports/dashboards in a reporting application such as Power BI Desktop/Cloud or QLIK
• Integrating PBI/QLIK reports into other applications using embedded analytics like Power BI service (SaaS)
• Building and Designing cloud applications using Microsoft Azure/AWS cloud technologies

Senior Data & Reporting Engineer, SQL, Python, AWS

• Implement Cloud Security Controls : Apply and maintain security best practices across AWS, GCP, and Azure to ensure alignment with compliance and regulatory standards.
• Assess Cloud Environments : Evaluate client infrastructures to identify security risks, misconfigurations, and vulnerabilities, providing targeted remediation recommendations.
• Deploy and Manage Security Tools : Configure and maintain SIEM, IDS/IPS, vulnerability management, and identity solutions to strengthen cloud security posture.
• Support Compliance Initiatives : Contribute to SOC 2, ISO 27001, and HIPAA efforts through control implementation, testing, and evidence validation.
• Automate Security Operations : Develop and manage infrastructure-as-code (IaC) scripts to streamline and enforce consistent cloud security controls.
• Conduct Cloud Security Reviews : Perform architecture assessments and configuration reviews to ensure secure design and adherence to best practices.
• Collaborate with Engineering Teams : Integrate security practices into CI/CD pipelines and development workflows to prevent vulnerabilities early in the lifecycle.
• Assist in Incident Response : Investigate and remediate cloud-related security incidents to minimize exposure and restore integrity.
• Communicate with Clients : Engage directly with clients via multiple channels to address security inquiries and deliver actionable guidance.

Cloud Security Engineer

• Daily meetings with the internal team
• Weekly meetings with clients and TTEC Digital client account managers
• Requirements analysis and design conversations for new enhancements
• Working on issues in Jira - building systems, creating CloudFormation/Serverless templates
• Learning best practices in NodeJS, JavaScript/TypeScript, and Python communities
• Working with mentor/team lead to enhance knowledge of AWS Services
• Learning new methods and sharing knowledge with team members
• Be ready to learn quickly!

AWS Principal Software Engineer, Typescript, Node.js

• Audit, clean, and improve training datasets to enhance model performance and reliability.
• Build and maintain robust, reproducible data and machine learning pipelines.
• Develop and execute model evaluation frameworks across different datasets, regions, and business scenarios.
• Analyze model performance and identify opportunities for optimization and improvement.
• Conduct machine learning experiments involving feature engineering, data augmentation, model architectures, and hyperparameter tuning.
• Apply computer vision and multimodal AI techniques to solve real-world business challenges.
• Integrate validated machine learning solutions into production environments.
• Support model deployment, testing, documentation, and ongoing maintenance activities.
• Manage and optimize machine learning training workflows within Azure-based environments.
• Perform SQL-based data analysis and provide actionable insights to stakeholders.
• Collaborate with engineering and data teams to improve development standards, automation, and reproducibility.

Machine Learning Engineer, Computer Vision – Azure

• 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.

Cloud Architect – Application Development

• Manage and maintain Azure Cloud operations, ensuring high availability and reliability.
• Develop, maintain, and optimize Terraform code for infrastructure provisioning.
• Design, implement, and monitor GitLab CI/CD pipelines for deploying Terraform code to Azure.
• Collaborate with cross-functional teams to ensure seamless integration and automation of cloud infrastructure.
• Continuously improve system performance and scalability through automation and process optimization.
• Troubleshoot and resolve infrastructure and deployment-related issues effectively.
• Stay updated with industry best practices and emerging technologies in DevOps and Cloud Engineering.

Cloud Engineer jobs in Philippines

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Senior Data & Reporting Engineer, SQL, Python, AWS

Cloud Security Engineer

AWS Principal Software Engineer, Typescript, Node.js

Machine Learning Engineer, Computer Vision – Azure

Cloud Architect – Application Development

CloudOps Engineer