Senior Software Engineer (Python)

ABOUT CLIENT

Our client is a cutting-edge technology company specializing in innovative solutions for automation. With a focus on efficiency and productivity, our client's products are designed to streamline processes and improve overall workflow. Their commitment to excellence and customer satisfaction sets them apart as a leader in the industry.

JOB DESCRIPTION

Develop and manage a strong software framework for the AI product to cater to diverse enterprise clients.
Create and implement scalable software architectures and systems to support quick integration of new features.
Build reusable components, libraries, and tools to assist other developers in efficiently extending the product.
Collaborate with different teams to define software requirements and ensure alignment with customer needs.
Ensure the software framework is well-documented, well-tested, and follows best practices for code quality.
Improve software development processes and tools for enhanced efficiency.
Keep abreast of the latest trends in software engineering and integrate new technologies into the product framework.
Participate actively in code reviews and collaborate with the team to address technical challenges.
Offer insights and recommendations based on software engineering expertise to contribute to the product strategy and roadmap.

JOB REQUIREMENT

Must have:
Completed a Bachelor's or Master's degree in Computer Science, Software Engineering, or a closely related field.
A minimum of four years of software engineering experience, with a focus on developing complex systems.
Proficiency in Python and familiarity with other programming languages such as Java, C++, or JavaScript is an advantage.
Thorough understanding of software development best practices, including version control (Git), automated testing, and comprehensive documentation.
Hands-on experience with cloud computing platforms (AWS, GCP, or Azure) to build, deploy, and maintain applications.
Proficiency in containerization and orchestration technologies, especially Docker and Docker-compose or Kubernetes.
Strong database skills encompassing both SQL and NoSQL databases (e.g., MySQL, PostgreSQL, MongoDB).
Demonstrated proficiency in setting up and managing CI/CD pipelines (e.g., Jenkins, GitLab CI, GitHub Actions) for efficient deployment processes.
Knowledge of software security best practices and their implementation in production environments.
Familiarity with monitoring and logging tools for application health and performance maintenance.
Excellent problem-solving abilities and a collaborative mindset for effective teamwork.
 
Nice to have:
Experience in generative AI, chatbots, messaging applications, Large Language Models (LLMs), or NLP technologies.
Familiarity with frontend technologies (e.g., ReactJS) and Agile/Scrum methodologies.
Strong problem-solving and proactive troubleshooting skills.

WHAT'S ON OFFER

Attractive compensation and benefits package.
Daily lunch allowance.
Opportunities for international training and work.
Supportive culture with resources for career growth.
Dynamic and innovative work environment.
Flexibility with hours and unlimited paid leave.
Team building activities and outings.

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, AI Application Platform

Technical Skills:

Python

Location:

Ho Chi Minh - Viet Nam

Working Policy:

Onsite

Salary:

Negotiation

Job ID:

J01131

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