Lead Software Engineer (Distributed Computing)

Translate business objectives to technical solutions.

Lead R&D to discover novel approaches and propose technical solutions.

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.

8+ years of software engineering experience, including technical leadership on complex software systems.

Deep expertise in distributed computing using Apache Spark, PySpark, Scala, or equivalent large-scale data processing frameworks.

Strong software architecture and system design skills, with demonstrated experience designing scalable, cloud-native applications.

Proven experience modernizing or re-architecting complex software systems, including decomposing monolithic applications into scalable distributed solutions.

Strong programming skills in Python and/or Scala, with the ability to write clean, maintainable, production-quality code.

Experience designing high-performance data processing pipelines and optimizing applications for scalability, parallelism, and resource efficiency

Experience building developer platforms, engineering frameworks, automation systems, or reusable software infrastructure.

Hands-on experience applying AI-assisted software engineering techniques, including LLMs, AI coding agents, or automated code generation tools, to improve engineering productivity.

Experience leading technical investigations, evaluating architectural tradeoffs, and making sound engineering decisions in ambiguous problem spaces.

Strong understanding of cloud-native architecture, containerization, CI/CD, infrastructure automation, and modern software development practices.

Excellent communication skills with the ability to collaborate effectively across software engineering, distributed computing, AI, and scientific domain experts.

Demonstrated ability to mentor engineers, conduct architectural reviews, and raise engineering quality across a team.

Experience with scientific computing, computational biology, bioinformatics, or other computationally intensive analytical applications.

Experience with high-performance computing (HPC), GPU computing, or large-scale parallel computing.

Experience building AI agents or autonomous software engineering workflows.

Experience with compiler technologies, static code analysis, program transformation, or source-to-source translation.

Experience with workflow orchestration platforms such as Airflow, Nextflow, or similar technologies.

Experience contributing to open-source frameworks or widely adopted developer tools.

Inquisitive Mindset: Demonstrates a deep-rooted curiosity, constantly seeking to understand project details and underlying principles, indicative of a continuous learning approach.

Clarity and Insight: Actively seeks clarity and understanding of project requirements to ensure accurate and effective implementation.

Depth of Perception: Has talent for looking beyond initial requests, intuitively grasping and addressing the core needs and objectives underlying a project.

Implementation Insight: Skilled in outlining and describing the phases of project implementation, breaking down complex tasks into manageable steps.

Articulate Communication: Exhibits strong verbal and written communication skills, adept at tailoring messages effectively for different audiences, ensuring that it is not only clear but also contextually relevant and empathetic.

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.

PEGASI – IT Recruitment Consultancy | Email: recruit@pegasi.com.vn | Tel: +84 28 3622 8666