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Location: Kuala Lumpur, Malaysia Experience: 5+ years Eligibility: Malaysian citizens About the Role Symprio is looking for experienced DevOps / Digital Engineers to join our technology team and support an enterprise digital transformation project. The successful candidates will work closely with the DevOps / Digital Lead and technical stakeholders to support the development, deployment, integration and ongoing operation of digital technology solutions. This is an opportunity to work in an enterprise environment where DevOps, cloud, automation, application delivery and digital engineering come together to support business-critical initiatives. Key Responsibilities Design, develop, implement and maintain digital technology solutions. Support application development, deployment and integration activities. Build and maintain CI/CD pipelines to enable reliable and efficient software delivery. Automate development, testing, deployment and operational processes. Work with development and technical teams to improve application deployment and operational efficiency. Support cloud-based infrastructure and digital platforms. Monitor applications, infrastructure and services to ensure availability and reliability. Troubleshoot technical issues across development, deployment and production environments. Implement appropriate logging, monitoring and alerting mechanisms. Work with source control and software development tools to maintain robust development workflows. Support infrastructure and environment configuration across development, testing and production environments. Collaborate with developers, architects, business analysts and other technical stakeholders. Contribute to technical documentation, deployment procedures and operational processes. Follow enterprise security, governance and technology standards. Continuously identify opportunities to improve automation, reliability and engineering efficiency. Required Skills & Experience 5+ years of experience in DevOps, Digital Engineering, Software Engineering, Cloud Engineering or a related technology role. Strong understanding of software development and deployment lifecycle. Hands-on experience with DevOps practices and CI/CD. Experience working with cloud-based technology environments. Experience with source control and software development workflows. Strong troubleshooting and problem-solving skills. Experience in automation and improving technology delivery processes. Good understanding of application infrastructure, deployment and operational support. Strong communication and collaboration skills. Ability to work effectively with both technical and business stakeholders. Good to Have Experience with one or more of the following would be an advantage: Cloud platforms such as AWS, Microsoft Azure or Google Cloud CI/CD tools such as GitHub Actions, GitLab CI/CD, Jenkins or Azure DevOps Docker and container technologies Kubernetes Infrastructure as Code such as Terraform Scripting and automation using Python, PowerShell or Bash API integration and microservices Application monitoring and observability Agile / Scrum development environments Security and DevSecOps practices What We're Looking For We are looking for engineers who are: Hands-on and technically strong Comfortable working in enterprise environments Passionate about automation and continuous improvement Strong problem solvers Able to work independently while collaborating with cross-functional teams Comfortable working in fast-paced digital transformation projects If you are an experienced DevOps / Digital Engineer looking for an opportunity to work on enterprise digital transformation initiatives, we'd love to hear from you. Submit your CV to Symprio and our recruitment team will get in touch with you.

Location: Kuala Lumpur, Malaysia Experience: 2+ years Nationality: Malaysian About the Role Symprio is looking for AI Engineers and Senior AI Engineers to join our growing AI engineering team and work on enterprise AI transformation initiatives. You will be involved in designing, developing, deploying and maintaining production-grade AI and Machine Learning solutions, covering Generative AI, LLM applications, document intelligence, intelligent automation, MLOps and AWS cloud technologies. We are open to candidates at different experience levels, with responsibilities aligned to their technical experience and seniority. Key Responsibilities Design, develop, deploy and maintain AI/ML solutions for enterprise use cases. Build and integrate Generative AI and LLM-based applications, including: Document processing Intelligent information extraction Classification Document and case analysis RAG and embeddings AI-powered chatbots Develop and operationalize Machine Learning models for classification, prediction, anomaly detection and other business use cases. Contribute to computer vision, OCR and document intelligence solutions. Build scalable, event-driven and serverless AI processing pipelines. Work with AWS AI/ML and cloud services including: AWS Lambda API Gateway Step Functions SageMaker Amazon Bedrock Amazon Textract S3 DynamoDB ECR CloudWatch VPC / IAM Contribute to the complete AI/ML lifecycle including data preparation, training, evaluation, deployment, inference and monitoring. Implement Infrastructure as Code using Terraform. Develop and maintain CI/CD pipelines and MLOps workflows. Build containerized AI services using Docker. Implement testing, logging, monitoring and observability for AI services. Work with data engineers, business analysts and business stakeholders to understand requirements and deliver AI solutions. Follow AI governance, Responsible AI, data privacy and human-in-the-loop practices. Contribute to enterprise AI initiatives across areas such as document processing, fraud detection, claims, underwriting and operational automation. Own solution architecture and technical design for AI services. Lead AI initiatives from requirements and architecture through production deployment. Define technical and integration patterns across AI services. Conduct architecture and code reviews. Mentor junior and mid-level engineers. Establish engineering best practices and quality standards. Lead technical discussions with business and technology stakeholders. Drive production readiness, monitoring and continuous improvement of AI solutions. Required Skills & Experience AI / Machine Learning Strong Python programming skills. Experience with ML frameworks such as Scikit-learn, XGBoost, PyTorch or TensorFlow. Working or hands-on experience with Generative AI and LLM technologies. Understanding of prompt engineering, structured extraction, RAG and embeddings. Experience with model training, evaluation and deployment. AWS & Cloud Experience with several AWS services such as: Lambda API Gateway Step Functions SageMaker Amazon Bedrock Amazon Textract S3 DynamoDB ECR CloudWatch VPC / IAM Engineering & MLOps Understanding of Infrastructure as Code, particularly Terraform. Knowledge of CI/CD and MLOps practices. Experience with Docker and container workflows. Experience with Git and Git-based CI/CD. Understanding of model monitoring and production observability. Additional Skills That Would Be an Advantage OCR and document intelligence / IDP Computer vision and object detection Vector databases and RAG pgvector or similar vector stores Amazon Redshift FastAPI React / Vite / MUI OpenAPI pytest and automated testing LLM guardrails and Responsible AI AWS AI/ML or Solutions Architect certification Why Join Symprio? You'll have the opportunity to work on real-world enterprise AI projects and gain hands-on exposure to: Generative AI | LLMs | RAG | Machine Learning | AWS | MLOps | Document Intelligence | OCR | Computer Vision | Intelligent Automation If you are passionate about building AI solutions that move beyond prototypes and into real production environments, we'd love to hear from you.

Design and deploy enterprise RPA solutions using UiPath and Power Automate. Lead bot development, testing, and go-live support.