Software Infrastructure Engineer

JOB DESCRIPTION

Build and maintain highly available systems responsible for service deployment & telemetry across various production environments.
Architect and manage secure, scalable infrastructure utilizing Kubernetes to support our external and internal use cases.
Develop tools to enable other engineers such as CI/CD pipelines, container schedulers, and custom applications.
Monitor and debug complex issues and performance problems throughout the stack.  
Involve in developing new features that required changes on the underlying infrastructure.
Collaborate with an international teams across different time zones

JOB REQUIREMENT

Extensive knowledge of networking and security
Large AWS deployment experience
Excellent analytical, problem-solving, and time management skills
Proficiency in a Linux environment
Programming background is a plus

WHAT'S ON OFFER

Awesome colleagues across the globe with variety of backgrounds in tech, finance, and legal
(Very) fast growing team with lots of opportunities for individual growths
Competitive compensation (salary and equity)
Unlimited vacation policy
Comprehensive health insurance
Nice office in D2, HCMC with lots of cool stuff to help you to relax (video games, billiards etc.).

CONTACT

PEGASI – IT Recruitment Consultancy | Email: recruit@pegasi.com.vn | Tel: +84 28 3622 8666
We are PEGASI – IT Recruitment Consultancy in Vietnam. If you are looking for new opportunity for your career path, kindly visit our website www.pegasi.com.vn for your reference. Thank you!

Job Summary

Company Type:

Product

Technical Skills:

Devops, System, AWS

Location:

Ho Chi Minh - Viet Nam

Working Policy:

Salary:

Negotiation

Job ID:

J00558

Status:

Close

Related Job:

DevOps Engineer

Others - Viet Nam


Product

  • Devops
  • Kubernetes
  • Network

Operate and evolve our Kubernetes platform across multiple clusters and environments (Prod, Dev, hybrid on-prem and public cloud), covering control plane operations, node lifecycle, upgrades, and autoscaling at every layer (Cluster Autoscaler, HPA, KEDA). Architect and manage hybrid cloud infrastructure spanning on-premises and public clouds (GCP, AWS), including workload placement, cross-cloud networking, and unified resource management. Own the CI/CD and GitOps experience end-to-end: container build pipelines, image optimization, and progressive delivery via ArgoCD / FluxCD. Own the observability stack as a single pane of glass across all clusters: Grafana, Mimir, Tempo, Loki, Pyroscope, OnCall, Prometheus -- and help push toward agent-assisted SRE workflows. Manage and improve our inference platform: vLLM serving and AIBrix for multi-model orchestration and autoscaling across a fleet of NVIDIA GPUs. Operate platform services: Kafka, Redis, PostgreSQL, OpenSearch. Manage identity and access via Keycloak integrated with Google Workspace; harden SSO, RBAC, and secrets management across the platform. Harden network security across private load balancers, firewalls, and VPC segmentation; design and maintain hub-and-spoke / multi-AZ topologies. Support training infrastructure: self-service VM provisioning, RunPod burst capacity, Weights and Biases integration. Drive infrastructure reliability, cost efficiency, and capacity planning as the platform scales.

Negotiation

View details

Platform Engineer

Ho Chi Minh - Viet Nam


Product

  • Backend
  • Devops
  • Data Engineering

Build and maintain distributed infrastructure handling telemetry, sensory, and control data across cloud and edge environments Design and operate data ingestion and streaming pipelines connecting robot fleets to the cloud in real time, covering video, joint states, audio, and LiDAR Develop and maintain backend services and APIs that power the Company's developer-facing platform, with a focus on reliability and developer experience Manage and evolve cloud native infrastructure using Kubernetes, Docker, and infrastructure as code tooling Ensure platform reliability through monitoring, alerting, autoscaling, failover, and incident response Support ML and robotics teams with data infrastructure for training pipelines, policy rollout, and hardware-in-the-loop simulation Implement secure APIs with access control, rate limiting, and usage metering as we scale

Negotiation

View details

Software Engineer (Digital Twin)

Ho Chi Minh - Viet Nam


Product

  • Python
  • C/C++

Build and maintain high-fidelity digital twin environments for Asimov across MuJoCo, Isaac Sim, and Unreal Engine, calibrated to real hardware behavior. Design and own the systems -- not just the environments -- that let locomotion, autonomy, and perception teams generate, validate, and iterate on simulation scenarios at scale. Build pipelines for asset import, USD and MJCF workflows, sensor modeling, and real-to-sim calibration to keep digital twins synchronized with evolving hardware. Develop photorealistic rendering pipelines in Unreal Engine for synthetic data generation and perception model training. Work with hardware and mechatronics teams to model actuator dynamics, contact physics, and structural behavior, ensuring simulation parameters reflect physical ground truth. Integrate digital twin environments with the Company's locomotion training pipeline (Cyclotron) and autonomy stack, enabling teams to run experiments and close the sim-to-real gap. Contribute to the open-source Asimov simulation stack, including tooling, documentation, and reproducible environment workflows.

Negotiation

View details