Senior Business Analyst Lead

Senior Backend Engineer - NAVER Financial

Ho Chi Minh - Viet Nam

Product

Responsible for developing and maintaining the server-side components using the Kotlin programming language. Write and maintain technical documentation, including system architecture and API specifications.

Negotiation

Senior Business Analyst

Ho Chi Minh - Viet Nam

Outsource

• Business Analyst

We are seeking a Senior Business Analyst to join our global Business Analysis unit with Business Analysts from various locations to serve clients in the Americas, and develop innovative products that have a significant impact on clients' business. In this role, you will serve as the liaison between stakeholders and the tech team in Vietnam. You will be involved in different workstreams such as assessing business value, collaborating with cross-functional teams to define experiences, gathering requirements, writing user stories, and delivering impactful experiences to end users. Undertake the role of the Product Owner, making prioritization decisions and managing backlog independently and proactively. Contribute to creating and managing the roadmap. Act as a liaison between stakeholders in the US and the tech team in Vietnam, ensuring alignment and addressing impediments. Draft detailed feature requirements and user stories and effectively communicate them to creative and technology teams. Proactively identify and document edge cases, error states, and non-happy path scenarios to ensure comprehensive feature design before development commences. Identify and communicate key dependencies, risks, and blockers. Assist in the end-to-end delivery of features, from definition to launch. Assist in identifying, prioritizing, and resolving defects. Maintain communication with key stakeholders to ensure alignment, coordinate change, and manage expectations. Act as the primary point of contact for technical and business queries and translate ambiguous stakeholder requests into clear, actionable specifications with no room for interpretation. Anticipate the impact of new features on existing systems to prevent regression or logic conflicts.

Negotiation

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