.NET Technical Architect

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

Technical Leader

Ho Chi Minh - Viet Nam

Product

• Python

We are looking for a product-minded Technical Lead who possesses a strong engineering foundation and the leadership capability to drive our backend and AI initiatives. You will not only architect scalable Python systems but also align technical decisions with business goals. In this role, you are expected to own the product lifecycle end-to-end-from design to operation-while building a high-trust, high-performance engineering culture. You must be adaptable, ready to lead the team through technology shifts (specifically in AI integration), and capable of balancing speed, quality, and cost based on the product phase.#What You'll Do Product-Centric Engineering & Strategy Product Mindset: Work closely with Product Managers to understand user pain points and value features. Make technical trade-offs based on the current product phase (e.g., MVP vs. scaling). Ownership: Take end-to-end responsibility for features: Design → Development → Release → Operation. Proactively propose solutions and identify risks before they become issues. Adaptability: Lead the team in adapting to new technology directions, particularly integrating AI/ML workflows into the backend. Be willing to pivot technical approaches when product direction changes. Architecture & Technical Foundation System Design: Architect robust systems with a clear understanding of when to use Monolith vs. Microservices. Design efficient data models, data flows, and versioned APIs. Cloud & Infrastructure: Leverage AWS services effectively. Assess the risks and benefits of integrating external services versus building in-house. Performance & Security: Ensure systems are designed for scalability, high performance, and security while keeping infrastructure costs optimized. Delivery & Execution Execution: Ensure on-time releases with the required quality standards. Manage scope creep and handle cross-team/external dependencies effectively. Risk Management: Provide honest reporting to management. Do not hide risks; instead, communicate them early with mitigation plans. Operational Excellence: Maintain system stability and reliability in production. Leadership & Mentorship Team Building: Build a strong engineering culture and standardize coding practices. protect the team from distractions while ensuring members trust and follow your technical direction. Mentorship: Conduct code reviews to mentor the team on mindset and standards (SOLID, DRY). Delegate tasks effectively-assigning the right people to the right jobs. Communication: Act as a bridge between technical and non-technical stakeholders. Explain technical decisions to the CEO and Product teams using business language (Cost, Risk, Impact). Align expectations on scope and delivery explicitly from the start.

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