Senior SAP FI Consultant

Senior Product Manager

Ho Chi Minh, Ha Noi - Viet Nam

No.1 Construction Tech company in Japan

• Product Management

#The Opportunity: As the promoter of product development projects at the company, you will gain experience in project management and development direction, working with the business department from project definition to requirements definition, development, testing, and release. In the future, you will be responsible for product management of the company's products.#Job Scope: This is an important position that involves understanding the characteristics of users of the service and driving product development projects while balancing the needs of product, sales, customer success, and engineers. #Product Management: Define the scope, objectives, and goals of product development. Build the product structure and process, create and promote schedules. #Development Direction: Working with product managers to organize requirements, design business processes, and define requirements. Creating and executing test and release plans. Creating explanatory materials for internal/customer use. Verifying post-release effectiveness and reporting. Create and maintain comprehensive product documentation #Development Environment: Backend: Ruby on Rails, Go, AWS, Elasticsearch, MySQL, DynamoDB, Redis, Terraform (IaC), OIDC (Authentication). Frontend: Next.js/React.js, Typescript, Vue.js/Nuxt.js. Mobile App: Kotlin, Swift, Flutter. CI/CD & DevOps: Docker, Kubernetes, CodePipeline, CodeBuild, CircleCI, GitHub Actions. Monitoring & Tools: Datadog, Sentry, Bugsnag, Swagger, ZenHub, Figma

Negotiation

Senior/ Lead Data Engineer (Data Platform / MLOps)

Ho Chi Minh, Ha Noi - Viet Nam

Information Technology & Services

You will be responsible for managing, designing, and enhancing data systems and workflows that drive key business decisions. The role is focused 75% on data engineering, involving the construction and optimization of data pipelines and architectures, and 25% on supporting data science initiatives through collaboration with data science teams for machine learning workflows and advanced analytics. You will leverage technologies like Python, Airflow, Kubernetes, and AWS to deliver high-quality data solutions. Architect, develop, and maintain scalable data infrastructure, including data lakes, pipelines, and metadata repositories, ensuring the timely and accurate delivery of data to stakeholders. Work closely with data scientists to build and support data models, integrate data sources, and support machine learning workflows and experimentation environments. Develop and optimize large-scale, batch, and real-time data processing systems to enhance operational efficiency and meet business objectives. Leverage Python, Apache Airflow, and AWS services to automate data workflows and processes, ensuring efficient scheduling and monitoring. Utilize AWS services such as S3, Glue, EC2, and Lambda to manage data storage and compute resources, ensuring high performance, scalability, and cost-efficiency. Implement robust testing and validation procedures to ensure the reliability, accuracy, and security of data processing workflows. Stay informed of industry best practices and emerging technologies in both data engineering and data science to propose optimizations and innovative solutions.

Negotiation

Senior Software Engineer (Backend + Network)

Ho Chi Minh - Viet Nam

Product

• Backend
• Network

Continuously monitor and analyze new VPN providers, proxy services, and anonymization tools. Conduct investigations on IP allocation patterns, hosting provider behaviors, and network infrastructure changes. Develop and maintain comprehensive databases of known VPN/proxy IP ranges and behavioral signatures. Research emerging threats such as residential proxies, mobile proxies, and distributed proxy networks. Monitor darkweb marketplaces and security forums for emerging proxy/VPN trends. Perform deep packet analysis and network traffic pattern recognition. Develop and maintain the system using PHP, Python, and/or Go. Optimize VPN/Proxy detection algorithms. Design scalable infrastructure to handle millions of IP lookups per day. Implement monitoring and alerting systems for detection accuracy and system performance. Analyze production incidents related to false positives/negatives in threat detection. Collaborate with DevOps team on deployment of detection rule updates and model improvements. Investigate customer-reported bypass attempts and develop rapid response solutions. Provide technical expertise during customer security consultations. Support sales engineering team with technical demonstrations and proof-of-concepts. Document threat analysis findings and detection methodologies for internal and customer use. Maintain relationships with cybersecurity vendors, threat intelligence providers, and ISPs. Monitor industry threat reports, security advisories, and academic research. Participate in cybersecurity conferences and forums to stay current with the threat landscape. Contribute to open-source security tools and research when appropriate.

Negotiation