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:

Active

Related Job:

Salesforce Engineer (IC2)

Ho Chi Minh - Viet Nam


Outsource

  • Salesforce

#Salesforce Engineering (Quote-to-Cash) Build and maintain Salesforce processes from Quote through to Cash Work full-stack on the platform: declarative (data model, Flows, validation, security model) and programmatic (Apex, Lightning Web Components) Implement changes safely on a production system used by Go-to-Market every day#Integrations & System Interfaces Maintain and further develop the integrations between Salesforce and internal/external systems (customer portal, HubSpot, license management, billing/ERP, and others) Design and operate integrations using Salesforce REST/SOAP APIs and standard integration patterns Own the health of these interfaces: monitoring, error handling, and data consistency#Collaboration with Go-to-Market / RevOps Partner with RevOps and GTM to translate business needs into robust technical implementations Challenge requirements where they create risk or technical debt Coordinate handoffs at the Lead-to-Quote / Quote-to-Cash boundary#Reliability, Security & Change Safety Protect a revenue-critical system: change control, testing, backup/rollback awareness Apply JTL security and compliance standards to Salesforce work#Optional / stretch With spare capacity, support tech-heavy Lead-to-Quote topics in Salesforce (optional; primary ownership of Lead-to-Quote stays with RevOps)

Negotiation

View details

Senior Bioinformatics Engineer

Ho Chi Minh - Viet Nam


Product

  • Data Science

Serve as the primary bioinformatics subject matter expert for engineering teams developing cloud-native bioinformatics software. Collaborate with software architects to translate scientific workflows into scalable distributed computing architectures. Help engineers understand the computational characteristics, assumptions, and limitations of existing bioinformatics tools. Validate that modernized applications preserve scientific correctness and produce reproducible results. Define biological data models, metadata standards, controlled vocabularies, and best practices for data harmonization. Guide engineering teams in designing scalable approaches for processing large genomic and multi-omics datasets. Evaluate open-source bioinformatics software (e.g. PLINK, Regenie, BCFtools, GATK, Nextflow workflows, etc.) and identify opportunities for cloud-native modernization. Work with distributed computing specialists to determine how algorithms can be parallelized using Spark and other large-scale execution frameworks. Develop validation datasets, benchmarking methodologies, and acceptance criteria for transformed applications. Review engineering designs to ensure biological accuracy and scientific integrity. Collaborate with AI engineering teams on using AI-assisted software transformation while ensuring scientific correctness. Stay current with advances in bioinformatics, computational biology, distributed computing, and cloud-based scientific software.

Negotiation

View details

Senior Software Engineer (Distributed Computing)

Ho Chi Minh - Viet Nam


Product

  • Python
  • AWS
  • Spark

Design and provide input on system architectures, contribute to coding standards, and mentor junior engineers. Work with various teams to ensure software solutions meet business requirements, international standards, and objectives. Tackle complex software development and integration challenges, optimizing system performance. Create high-quality Python code and integrate diverse software components into cohesive solutions, with a focus on cloud computing and life sciences applications. Keep up-to-date with new technologies and Python frameworks, particularly in cloud computing. Oversee testing, deployment, and comprehensive documentation of integrated systems. Actively participate in all phases of the software development lifecycle. This includes creating user stories and engaging in sprint planning to align development efforts with business objectives. Engage with multinational companies, demonstrating flexibility to occasionally adapt to US and EU time zones.

Negotiation

View details