Director of Platform
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Job Summary
Company Type:
Product
Technical Skills:
Devops, Google Cloud, Kubernetes
Location:
Ho Chi Minh - Viet Nam
Working Policy:
Hybrid
Salary:
Negotiation
Job ID:
J01649
Status:
Close
Related Job:
Platform Lead
Others - Singapore
Product
- Backend
- Devops
- Data Engineering
Architect and scale distributed systems that handle petabytes of sensory, telemetry, and control data across cloud and edge environments, connecting fleets of robots in real time. Design and build the API Platform, delivering high reliability, world class developer experience, and production grade multimodal AI capabilities via intuitive APIs and SDKs. Build large scale training and inference platforms for multimodal foundation models powering robot autonomy, teleoperation, and developer integrations. Design data ingestion and streaming pipelines connecting robot fleets to the cloud in real time, covering video, LiDAR, joint states, and audio. Manage and evolve a modern cloud native infrastructure stack using Kubernetes, Docker, and infrastructure as code tooling. Ensure platform reliability through telemetry, monitoring, alerting, autoscaling, failover, and disaster recovery mechanisms. Lead infrastructure decisions spanning distributed storage, consensus protocols, GPU orchestration, network reliability, and API security. Collaborate across ML, robotics, and product teams to support hardware in the loop simulation, policy rollout, continuous learning, and CI/CD workflows. Implement secure APIs with fine grained access control, usage metering, rate limiting, and billing integration as we scale to serve millions of users.
Negotiation
View detailsSenior System Software Engineer - AI Data Platform - Inference Factory
Ho Chi Minh - Viet Nam
Product
- Devops
- C/C++
- Python
- Golang
Create infrastructure and tools to automate complex software processes effectively. Improve performance: Deploy advanced test harnesses, benchmarking frameworks, and analytical tools to thoroughly evaluate and enhance the performance and efficiency of software and hardware platforms. Utilize expertise in operating systems, kernel internals, device drivers, memory management, storage, networking, and high-speed interconnects to construct and troubleshoot high-performance systems. Collaborate with engineering teams to comprehend requirements and deliver efficient solutions. Establish performance objectives, assess feedback, analyze data, and continually enhance system reliability. Shape technical strategies: Contribute to developing technical strategies and roadmaps for platform automation initiatives to ensure they are in line with company goals and industry best practices.
Negotiation
View detailsSenior DevOps Engineer
Ho Chi Minh - Viet Nam
Product
- Devops
- Cloud
- Kubernetes
Oversee the Management of VM/Cloud Infrastructure: Ensure the stability and optimal performance of web servers and cloud services. Manage infrastructure on-prem and in the cloud according to DevSecOps best practices, including network design and segmentation. Create and Maintain Scripts and Tools: Develop and maintain scripts (bash, python) to automate tasks and enhance system efficiency. Contribute to our Monitoring System: Establish and oversee monitoring systems using Prometheus and Grafana to monitor system performance and send alerts. Set up CI/CD Pipelines: Implement and manage automated deployment pipelines using GitLab CI, ArgoCD, and FluxCD. Infrastructure Design and Optimization: Design and optimize infrastructure to ensure stability, minimize downtime, and improve overall performance. Management of Web Servers and Platforms: Handle web server configurations and security, including Nginx, Kubernetes ingress, load balancers, DNS, WAF, and firewall rules, to ensure high availability and secure operations. Collaborate with Development Teams: Work closely with development and production teams to streamline deployment processes and address system and security-related issues.