Cloud Platform Engineers/Architects
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Job Summary
Company Type:
Outsource
Technical Skills:
Devops, Google Cloud
Location:
Ho Chi Minh - Viet Nam
Working Policy:
Hybrid
Salary:
Negotiation
Job ID:
J01637
Status:
Close
Related Job:
Platform Lead
Others - Singapore
Product
- Backend
- Devops
- Data Engineering
Develop and expand distributed systems to handle large volumes of sensory, telemetry, and control data across cloud and edge environments, facilitating real-time connections for fleets of robots. Create the API Platform with a focus on high reliability, exceptional developer experience, and robust multimodal AI capabilities accessible through user-friendly APIs and SDKs. Establish extensive training and inference platforms for foundation models used in robot autonomy, teleoperation, and developer integrations. Devise data ingestion and streaming pipelines for real-time connectivity of robot fleets to the cloud, covering various data inputs such as video, LiDAR, joint states, and audio. Oversee and advance a modern cloud native infrastructure stack employing Kubernetes, Docker, and infrastructure as code tools. Ensure platform reliability through telemetry, monitoring, alerting, autoscaling, failover, and disaster recovery measures. Make infrastructure decisions pertaining to distributed storage, consensus protocols, GPU orchestration, network reliability, and API security. Foster collaboration across ML, robotics, and product teams to facilitate hardware in the loop simulation, policy rollout, continuous learning, and CI/CD workflows. Implement secure APIs featuring fine-grained access control, usage metering, rate limiting, and billing integration to accommodate a growing user base.
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.