Software Developer (.NET, Unity)

Software Engineer

Ho Chi Minh - Viet Nam

Product

Create and develop the API Platform with a focus on reliability, performance, and providing a top-tier developer experience Deploy and enhance AI/ML models in scalable, production environments in collaboration with research and applied ML teams Manage and advance a contemporary, cloud-native infrastructure stack utilizing Kubernetes, Docker, and infrastructure-as-code (IaC) tools Ensure platform dependability by designing and implementing telemetry, monitoring, alerting, autoscaling, failover, and disaster recovery mechanisms Contribute to developer and operations workflows, encompassing CI/CD pipelines, release management, and on-call rotations Work collaboratively across teams to implement secure APIs with fine-grained access control, usage metering, and billing integration Continuously enhance platform performance, cost-efficiency, and observability to accommodate scaling and serve users globally.

Negotiation

Software Architect

Others - Viet Nam

Outsource

• .NET
• AWS
• AI

Lead the development of scalable full-stack applications. Optimize database schemas and queries for secure, high-performance systems with strong data integrity. Make key architectural decisions that balance scalability, performance, maintainability, and developer experience while mentoring engineers. Implement DevOps into the development lifecycle by managing CI/CD pipelines and overseeing infrastructure-as-code. Plan, design, and implement cloud infrastructure using cloud services to ensure system availability, scalability, and cost efficiency. Collaborate with cross-functional teams to define system architecture and align on technical direction to support product goals and timelines. Continuously explore, assess, and adopt modern tools, frameworks, and best practices to boost engineering productivity, code quality, and system resilience.

Negotiation

Senior Software Engineer, Machine Learning

Ho Chi Minh - Viet Nam

Product

• Machine Learning

Building and maintaining high-scale ML pipelines using big data technologies (Spark, BigQuery, Delta Lake), writing reliable, testable, and maintainable production-ready code. Leveraging modern ML platforms like Vertex AI or Databricks to orchestrate workflows and optimizing models for both batch/offline training and real-time/streaming inference with a focus on low latency. Gaining a deep understanding of specific domain challenges (e.g., fraud detection, location spoofing) to engineer better features and network-level intelligence that go beyond algorithms. Championing best practices in software engineering, including CI/CD, automated testing, code reviews, and documentation to ensure ML systems are built to software engineering standards, not just research scripts. Acting as a technical lead for projects, defining milestones and ensuring on-time delivery, mentoring Data Scientists on engineering best practices, and collaborating with other engineers to integrate models into the wider platform.

Negotiation