Platform Engineer

ABOUT CLIENT

Our client is a leading research company specializing in technology innovation

JOB DESCRIPTION

Create and maintain distributed infrastructure responsible for handling telemetry, sensory, and control data in cloud and edge environments
Develop and operate data ingestion and streaming pipelines connecting robot fleets to the cloud in real-time, including video, joint states, audio, and LiDAR
Build and manage backend services and APIs for the developer-facing platform, prioritizing reliability and excellent developer experience
Oversee and improve cloud-native infrastructure utilizing Kubernetes, Docker, and infrastructure as code tooling
Ensure platform reliability through monitoring, alerting, autoscaling, failover, and incident response
Provide support to 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 to accommodate scaling efforts

JOB REQUIREMENT

At least 4 years of professional software engineering experience in platform, infrastructure, or data engineering
Proficiency in one or more of Go, Rust, Python, or TypeScript, with strong fundamentals in concurrency and systems performance
Hands-on experience with cloud native tooling: Kubernetes, Docker, Helm, and gRPC
Experience in building and operating data pipelines and streaming systems (Kafka, Flink, or similar)
Strong understanding of API design patterns including REST, gRPC, and WebSockets
Experience with databases such as PostgreSQL, Redis, and modern vector databases
Familiarity with observability tooling such as Prometheus, Grafana, Datadog, or OpenTelemetry
Experience with real-time data streams from physical sensors or robotics systems
Familiarity with MLOps workflows including model versioning, inference pipelines, and model registries
Background in distributed training or large-scale simulation infrastructure
Contributions to open-source infrastructure, robotics middleware, or AI frameworks
Experience on developer platforms or API products

WHAT'S ON OFFER

Join a renowned research team to work on impactful projects
Take ownership of the core training code infrastructure used by the team
Engage with real models, data, and scale, rather than small-scale problems
Contribute to bridging the gap between research velocity and engineering quality
Enjoy a flexible work environment with a culture that values depth, clarity, and curiosity

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:

Backend, Devops, Data Engineering

Location:

Ho Chi Minh - Viet Nam

Working Policy:

Hybrid, Onsite

Job ID:

J02106

Status:

Close

Related Job:

Senior Product Engineer

Ho Chi Minh - Viet Nam

Product, AI Application Platform

  • Python
  • AWS
  • Azure
  • AI

Design and develop the agent framework, including workflows, tool utilization, orchestration, and reasoning. Create the runtime, governance, and evaluation capabilities to ensure that agents are safe and reliable in production environments. Develop integrations and reusable components that link agents to customer systems and data. Manage features from start to finish: comprehend the user problem, deliver an initial version quickly, then refine it with feedback from end-users until it is polished and truly functional. Utilize these agents in daily tasks and address any obstacles encountered. Maintain high standards for quality and guide others through code reviews.

Negotiation

View details

AI Engineer Lead

Ho Chi Minh - Viet Nam

Outsource

  • AI
  • Python

Spearhead the development and deployment of various applications, pipelines, and workflows tailored for financial services applications. Take charge of critical technical determinations related to model choices, design of retrieval systems, workflow structuring, integration strategies, cost considerations, and latency issues. Develop methodologies for evaluation and regression testing, utilizing data analysis and failure diagnostics to enhance the effectiveness of solutions. Ensure that deployed solutions adhere to production standards encompassing reliability, security, observability, data security, and audit trails. Transform business, risk, and compliance prerequisites into actionable technical solutions in collaboration with clients and internal partners. Provide guidance to engineers, fostering the adoption of standardized AI engineering practices, frameworks, and development methodologies.

Negotiation

View details

Senior Engineer Manager - Technology Risk

Ho Chi Minh - Viet Nam

Product

  • Management
  • Backend
  • Data Engineering
  • Devops

Develop and implement a cohesive roadmap for strategic execution based on the company's strategic ambitions Coordinate and oversee multiple engineering teams within the organization to achieve desired outcomes Collaborate with various internal teams, including technology, risk, business, and product teams, to ensure requirements are met before and after project delivery Take responsibility for both the development and ongoing operational support of applications in production Manage cyber security updates, ensuring software versions are up to date and infrastructure is patched regularly Monitor and control investment delivery to maintain alignment between different domains and optimize spending Facilitate collaboration between engineering and risk domain experts to achieve strategic technology goals

Negotiation

View details