Training and Quality Lead

ABOUT CLIENT

Our client is a leading global technology company that provides a wide range of IT services and solutions. With a strong focus on innovation and digital transformation, our client helps businesses adapt to the ever-changing technological landscape. Their expertise in areas like cloud computing, cybersecurity, and AI makes them a valuable partner for organizations.

JOB DESCRIPTION

Evaluate transaction quality through audits and identify causes of defects
Provide feedback to individuals on their performance
Collaborate with operations to develop action plans
Analyze historical data to identify trends and present findings and solutions to clients
Create compliance audit reports and make decisions based on process workflow adherence
Identify and document deviations in processes and participate in updating or documenting them
Prepare daily individual completion reports using Excel
Participate in calibrations with the operations team, document changes and report to clients
Stay updated on stakeholder policies
Address and prioritize client requests to meet SLAs
Generate regular business reports and insights on quality issues
Conduct compliance audits and update quality frameworks to align with workflows

JOB REQUIREMENT

Strong communication and written skills
Experience working as an Agent in similar workflows
Preferably previous experience in QA roles
Excellent time management and prioritization skills
Ability to adapt to fast-paced environments and changing workflows
Effective interaction and collaboration across functions and levels
Prior annotation experience is an added advantage

WHAT'S ON OFFER

This position offers hybrid working arrangements, with three days working in the office and flexible hours.
Salary is negotiable based on candidate expectations.
Employees are entitled to 18 paid leaves annually, which includes 12 annual leaves and 6 personal leaves.
The insurance plan includes coverage based on full salary, a 13th-month salary, and performance bonuses.
A monthly meal allowance of 730,000 VND is provided.
Employees receive 100% full salary and benefits from the start of employment.
Medical benefits are extended to the employee and their family.
The work environment is fast-paced, flexible, and multicultural with opportunities for travel to 49 countries.
The company provides complimentary snacks, refreshments, and parking facilities.
Internal training programs covering technical, functional, and English language skills are offered.
The regular working hours are from 08:30 AM to 06:00 PM on Mondays to Fridays, inclusive of meal breaks.

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:

Non-tech

Location:

Ha Noi - Viet Nam

Working Policy:

Hybrid

Salary:

Negotiation

Job ID:

J01689

Status:

Close

Related Job:

AI-Native Software Engineering Lead

Ho Chi Minh - Viet Nam


Outsource

  • Backend
  • AI

Responsible for developing and evolving the AI-native SDLC operating model, including agent workflow designs, verification gates, context management standards, and evaluation frameworks Build and lead multi-agent systems using orchestration layers such as Claude Code, GitHub Copilot Workspace, Cursor, LangGraph, CrewAI, or equivalent, from prototype to production Collaborate with the Director of Engineering to contribute to and maintain the company's AI toolchain selection criteria and evaluate tools with engineering rigor, providing internal guidance on when AI is beneficial and when it is not Establish engineering standards, agent evaluation loops, and AI output quality gates across the delivery organization Previous experience in a lead, principal, or staff engineer role with demonstrated cross-team influence Experience in outsourcing, consulting, or multi-client delivery environments Track record of building or leading an internal community of practice, guild, or AI adoption program Develop and continuously evolve the company's AI-native SDLC playbook, including standards, workflow templates, case studies, and guardrails that delivery teams can adopt immediately Design and lead internal upskilling programs that transition engineers from AI-assisted to AI-native working patterns Keep track of the AI capability frontier, model improvements, new agent frameworks, and emerging risks, translating signals into timely updates to client practices Work closely alongside Delivery Teams as an AI transformation advisor and execution partner, identifying the highest-value automation opportunities across the SDLC and coordinating with the team to implement them Design and deploy agent-orchestrated workflows tailored to each client's stack, team maturity, and delivery context, with measurable ROI Build business cases for AI-native adoption with clients and account managers, framing the value in terms of velocity, quality, and cost Represent the company's AI-native engineering capabilities in client conversations, QBRs, and RFP responses as a credible technical authority

Negotiation

View details

Platform Lead

Others - Singapore


Product

  • Backend
  • Devops
  • Data Engineering

Develop and expand distributed systems to handle large volumes of sensory, telemetry, and control data across cloud and edge environments, facilitating real-time connections for fleets of robots. Create the API Platform with a focus on high reliability, exceptional developer experience, and robust multimodal AI capabilities accessible through user-friendly APIs and SDKs. Establish extensive training and inference platforms for foundation models used in robot autonomy, teleoperation, and developer integrations. Devise data ingestion and streaming pipelines for real-time connectivity of robot fleets to the cloud, covering various data inputs such as video, LiDAR, joint states, and audio. Oversee and advance a modern cloud native infrastructure stack employing Kubernetes, Docker, and infrastructure as code tools. Ensure platform reliability through telemetry, monitoring, alerting, autoscaling, failover, and disaster recovery measures. Make infrastructure decisions pertaining to distributed storage, consensus protocols, GPU orchestration, network reliability, and API security. Foster collaboration across ML, robotics, and product teams to facilitate hardware in the loop simulation, policy rollout, continuous learning, and CI/CD workflows. Implement secure APIs featuring fine-grained access control, usage metering, rate limiting, and billing integration to accommodate a growing user base.

Negotiation

View details

Lead/Principal Java Software Engineer

Ho Chi Minh - Viet Nam


Outsource

  • Java

Provide leadership for the design, development, and deployment of technical solutions. Collaborate with other technology leaders to enhance and support the client's technical direction. Advocate and promote best practices for Java/JavaScript - Node.js & React.js. Display enthusiasm for Java and ability to implement advancements for new and existing systems. Lead and facilitate training to enhance engineers' programming skills. Design, develop, review, and manage Java application code and services for production and pre-release environments. Develop, review, and manage continuous integration, build management, deployment scripts, and required code. Engage in Agile software development, prototyping, and code review with international development teams to build scalable microservices-based products and APIs using Java technologies on AWS or Azure cloud architecture. Understand customer or business requirements and incorporate this knowledge into consistent application development. Collaborate with delivery teams to drive development using CI/CD and DevOps practices, processes, and tooling. Adhere to robust coding practices, solid unit/component test coverage, and code debugging.

Negotiation

View details