Senior RPA Developer

JOB DESCRIPTION

Develop, test, and implement RPA solutions using UiPath and Power Automate
Operate and maintain RPA solutions
Create and maintain documentation for RPA processes and solutions
Troubleshoot and resolve issues related to RPA solutions
Continuously improve and optimize RPA processes for efficiency and effectiveness

JOB REQUIREMENT

Primary Skills:
At least 1-2 years of experience in RPA development
Proficiency in UiPath and Power Automate
Basic knowledge of C#/.Net and VBA is preferred
Excellent communication and teamwork abilities
Ability to work independently and manage multiple tasks simultaneously
Familiarity with code versioning tools such as Git
Experience working in an agile team, practicing Scrum or Kanban
Language:
Good English communication is a must
French is a plus
Nice to have:
Experience in Workflow Development
CI/CD tools
Experience with machine learning and artificial intelligence
Soft skills:
Strong problem-solving skills and attention to detail
Proactive and effective self-learning skills and research
Effective verbal English skills in video conference and face-to-face communication

WHAT'S ON OFFER

Competitive salary, health insurance covered for employee and dependents
Working on international projects. Professional and dynamic working environment
Receiving training opportunities including many technical seminars and soft skill training courses
Good opportunity for promotion through regular performance review system.

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:

Outsource

Technical Skills:

Visual Basic/VB6, UiPath

Location:

Ho Chi Minh - Viet Nam

Working Policy:

Job ID:

J01172

Status:

Close

Related Job:

Senior AI DevSecOps Engineer

Ho Chi Minh - Viet Nam


Product

  • Devops
  • AWS
  • Azure
  • Security

CI/CD Pipeline Management: Build and manage the CI/CD pipeline to ensure automation, security, and scalability across all stages of the development lifecycle. Infrastructure & Security: Design and implement secure multi-cloud infrastructure solutions leveraging cloud services, containerization, and orchestration tools (e.g., Kubernetes, Docker). Policy as Code: Define and enforce security and compliance policies across Kubernetes clusters using OPA (Open Policy Agent) or Kyverno, ensuring guardrails are automated and auditable. AI & Platform Automation: Drive the adoption of AI-powered tools and workflows to automate infrastructure operations, optimise CI/CD pipelines, accelerate root cause analysis, improve security posture, and enhance engineering productivity. Observability & Alerting: Build and maintain a comprehensive observability stack (NewRelic, Prometheus, Grafana, ELK/EFK, or Azure Monitor) with proactive alerting, dashboards, and runbooks for critical business flows and security events. Secret & Credential Management: Design and enforce secrets management practices across all environments using, Azure Key Vault, AWS Secrets Manager, 1Password, ensuring zero hardcoded credentials in codebases and pipelines. Incident Response & On-Call: Own and continuously improve incident response processes - define runbooks, lead post-mortems, track MTTR, and participate in on-call rotation to maintain platform reliability and SLO adherence. Threat Modelling & Penetration Testing: Conduct regular threat modelling sessions with engineering teams and coordinate or perform penetration testing activities to proactively identify attack surfaces before they reach production. Code Security: Conduct regular code reviews and static/dynamic analysis to identify and remediate security vulnerabilities. Compliance and Best Practices: Ensure compliance with industry standards and best practices, including GDPR, ISO, PCI-DSS, and others. Collaboration: Collaborate with development, operations, and security teams to foster a culture of automation and security-first thinking. Mentorship: Mentor junior engineers and other team members on security best practices. Documentation: Maintain thorough and up-to-date documentation of security policies, procedures, and incident reports. Trend Scouting: Stay updated with the latest trends in technology and AI to integrate innovative solutions into our processes.

Negotiation

View details

Senior Data Engineer (C++, Python, AI/LLM)

Ho Chi Minh - Viet Nam


Outsource

  • Data Engineering
  • C/C++
  • Python

Enrich a wide range of structured and unstructured data into high-quality datasets for quantitative analysis and financial engineering. Enhance data quality and integrity by developing validation tools and frameworks to measure the effectiveness of data enrichment pipelines. Develop a deep understanding of machine learning, deep learning, and emerging AI/LLM applications, and analyze the underlying dynamics and behaviors within the data. Generate insights from large-scale datasets and collaborate with research teams to identify opportunities for tradable signals. Design and develop utility tools to automate software development, testing, deployment, and monitoring workflows. Provide technical support for global researchers, including diagnosing root causes of technical issues, troubleshooting Python and C++ code, and proposing scalable fixes and improvements. Investigate, debug, and resolve issues in C++ applications and data pipelines, with a strong focus on performance, stability, correctness, and maintainability. Explore and apply AI/LLM-based solutions to improve data processing, workflow efficiency, troubleshooting, documentation, and research support processes.

Negotiation

View details

Senior Backend Engineer

Ho Chi Minh, Ha Noi - Viet Nam


Product

  • Golang
  • Ruby

Design, build, and operate backend services that power a leading B2B SaaS platform for the construction industry. Design clean, maintainable, and extensible software architecture. Identify and resolve performance bottlenecks (query optimization, caching, async processing). Drive software quality through automated testing, code reviews, observability, and CI/CD practices. Review and validate AI-generated code to ensure maintainability, correctness, and security. Mentor engineers and raise the team's engineering bar.#Development environment: Backend: Ruby (on Rails), Golang, Amazon Aurora (MySQL), DynamoDB FrontEnd: Nuxt.js, Vue.js, Next.js, ReactJS Mobile App: Kotlin, Swift, Flutter Deploy/ Build: AWS Amplify, CodePipeline, CodeBuild, CircleCI, GitHub Actions Others: Swagger, Docker, Figma, Confluence, JIRA, esa, gRPC Infrastructure: Helm, Terraform Automation test: Autify, Magicpod

Negotiation

View details