Location:

  • HCMC, Hanoi, Danang - Vietnam

  • Bangkok - Thailand

About DataXight

DataXight, headquartered in Mountain View, CA, is on a bold mission to transform life science and healthcare through groundbreaking data-driven software solutions. We're passionate about empowering our team to work on projects that not only push boundaries but also make a tangible difference in the lives of millions. Are you ready to be part of something greater?

The Role

Help leading the development of an AI-powered framework for transforming complex analytical software into scalable cloud-native platforms..

Many high-value analytical applications were originally designed for single-node or limited-scale execution and struggle to efficiently process today’s increasingly large and complex datasets. This role focuses on transforming those applications into scalable, distributed solutions running on a Spark-based cloud platform.

As a Lead AI Software Transformation Engineer, you will provide technical leadership across architecture, engineering execution, AI-assisted software modernization, and distributed computing strategy. You will work closely with domain experts, distributed computing specialists, and platform engineers to analyze existing software systems, redesign computational workflows, and guide the team in applying AI-assisted engineering techniques to accelerate software modernization.

This role is ideal for a senior engineer who can operate independently, lead complex technical initiatives, mentor other engineers, and make sound architectural decisions in ambiguous, high-impact problem spaces.

Key Responsibilities

  • Lead the design and development of a next-generation AI-powered software transformation framework capable of accelerating the modernization of complex analytical applications.

  • Own key architectural decisions for converting legacy computational tools into scalable cloud-native solutions.

  • Define technical direction, engineering standards, and transformation methodologies for AI-assisted software modernization.

  • Guide the use of AI agents, LLMs, and emerging AI engineering techniques to automate software analysis, code transformation, validation, and optimization.

  • Lead technical investigations into how existing software systems can be restructured, decomposed, or re-implemented to operate efficiently in distributed environments.

  • Collaborate with distributed computing specialists to design target architectures using Spark-based execution models for large-scale data processing.

  • Build and guide the development of reusable transformation pipelines, automation tooling, and engineering frameworks that enable software modernization at scale.

  • Establish validation strategies, quality frameworks, and technical review processes to ensure transformed systems maintain functional correctness and reproducibility.

  • Drive architectural decisions around scalability, maintainability, performance, infrastructure efficiency, and long-term platform evolution.

  • Mentor senior and mid-level engineers, review technical designs, and raise the engineering quality of the team.

  • Partner with domain experts to understand application requirements and translate them into scalable, practical technical solutions.

  • Prototype and evaluate new AI-assisted engineering approaches that improve transformation speed, engineering productivity, and software quality.

  • Contribute to the organization’s long-term strategy for AI-driven software modernization, distributed computing, and engineering automation.

Qualifications

  • Strong experience with Apache Spark, PySpark, or other distributed computing frameworks.

  • Experience with Python, Scala and Spark-based application development.

  • Proven experience modernizing legacy applications or migrating software to new architectures.

  • Experience working with scientific computing, data-intensive applications, analytics platforms, or high-performance computing systems.

  • Experience with workflow orchestration, automation frameworks, or platform engineering.

  • Familiarity with cloud-native data processing architectures.

  • Experience measuring and improving application scalability, performance, and infrastructure efficiency.

Why Join DataXight

This isn’t just another job; it’s an opportunity to join a team that's earnest about making a global impact in human health. We provide room for growth, a dynamic and collaborative work environment, and the chance to make your mark in an industry ripe for innovation. Join our team and immerse yourself in a dynamic, supportive, and friendly workplace that fosters collaboration and personal growth. 

We Offer:

  • Competitive compensation.

  • Flexible time off, including floating holidays.

  • Private health insurance & full social, health, and unemployment insurance.

  • Professional development support.

  • Company-provided lunches along with a selection of coffee, tea, and snacks.

  • Other employee benefits as stipulated in Vietnamese labor law, reinforcing our commitment to your growth and well-being.

If you’re someone who thrives on solving complex problems and actively wants to transform healthcare, apply DataXight today. Send your resume, cover letter, and relevant work samples or GitHub profile to careers@dataxight.com. We look forward to reviewing your application and potentially welcoming you to our globally connected team!