Python Technical Architect

JOB DESCRIPTION

The Technical Architect is responsible to writes complex software programs from design specifications; Plans, executes and documents unit tests; Reports status and issues; Documents detailed designs; Accountable for unit test leakage; Contributes to and may decide upon system architecture and design decisions.
Job Descriptions
Can play Technical Architect role in project teams.
To communicate project technical issues, progress, and support with clients.
To lead the team in development area:
Conduct and maintain detailed design and component/service design documents.
To be the escalation point for technical issues in project.
To conduct and maintain project technical perspectives:
Design, document and implement the architecture design on both detailed and high level with fully awareness on the integration, maintenance and migration aspects.
Conduct guidelines, review architecture alternatives, perform technical evaluations including non-technical perspectives (security, performance).
Support project teams to follow strictly all the client’s processes if being requested, company’s processes and systems complied with CMMi standard.
To self-train on new technologies.
To support tasks assigned by Line Manager, Project Manager & Technical Manager:
Perform trainings/seminars for company.
Obtain professional certificates.
Support for recruitment in the company.

JOB REQUIREMENT

University degree in Computer Sciences, or equivalent.
7+ year experience Python competence (Linux, Apache/Nginx, MySQL, Python).
Strong knowledge of OOP, SOLID principles.
Strong knowledge of Python, familiar with at least one relevant framework Django/Flask/Falcon.
Strong knowledge of web service development (RESTful/SOAP).
Strong knowledge of security, performance optimization in web development.
Strong knowledge of Linux, web application deployment and maintenance.
Good knowledge of one of architecture model: Microservices, service-oriented, event-driven.
Proven experience in architecture, design, and delivery of data-intensive applications.
At least 3+ years of experience mentoring and leading teams.
Good to have additional skills:
Having good experience on any Front-end framework (Angular/React/Vue.
Good knowledge of cloud-based application development – specially AWS and enterprise integration. 
Good knowledge of containerization (Docker/LXC) and container orchestration platforms (Docker Swarm/Kubernetes)

WHAT'S ON OFFER

13-month salary per year
Performance bonus
Social – Health – Insurance paid fully
Healthcare: Annual health check-up, Premium Health Insurance
Annual leaves: 14 ~ 18 days
Clubs program: Football, Badminton, Swimming, Tennis, Rock, Yoga…
Training courses: Technical skills – Soft skills – English
People are extremely important to us and that’s why we have a clear vision: to make Company a great place to work in its sector. We pride ourselves on:
Professional and Flexible Working Environment
Great Teamwork
International Assignments
WeCare - WeShare - WeDare - WeInnovate Engagement Program

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:

Python

Location:

Ho Chi Minh - Viet Nam

Working Policy:

Job ID:

J00520

Status:

Close

Related Job:

AI Solution Architect

Ho Chi Minh - Viet Nam


Outsource

  • AI
  • Architect
  • Cloud

Take charge of client discovery and solution workshops, evaluating AI implementation opportunities and transforming business requirements into achievable technical strategies. Develop secure, scalable, and cost-effective architectural solutions utilizing LLMs, RAG, agents, data integrations, and cloud technology. Oversee or offer guidance in PoC development, review design and code, and provide support in key technical decisions throughout project delivery. Assist in scoping solutions, drafting technical proposals, delivering presentations, and estimating project requirements for potential clients. Offer leadership in AI integration by mentoring teams in AI-driven development, coding agents, evaluation techniques, and establishing reusable engineering workflows. Establish standard architectures, repeatable patterns, governing guidelines, and success metrics for AI projects.

Negotiation

View details

AI Engineer Lead

Ho Chi Minh - Viet Nam


Outsource

  • AI
  • Python

Spearhead the development and deployment of various applications, pipelines, and workflows tailored for financial services applications. Take charge of critical technical determinations related to model choices, design of retrieval systems, workflow structuring, integration strategies, cost considerations, and latency issues. Develop methodologies for evaluation and regression testing, utilizing data analysis and failure diagnostics to enhance the effectiveness of solutions. Ensure that deployed solutions adhere to production standards encompassing reliability, security, observability, data security, and audit trails. Transform business, risk, and compliance prerequisites into actionable technical solutions in collaboration with clients and internal partners. Provide guidance to engineers, fostering the adoption of standardized AI engineering practices, frameworks, and development methodologies.

Negotiation

View details

Data Engineer

Ho Chi Minh - Viet Nam


Outsource

  • Data Engineering
  • Python

Develop, test, and manage batch and streaming data pipelines on various cloud platforms like Snowflake, AWS Redshift, and Google Cloud Platform (BigQuery, Dataflow, Pub/Sub, Cloud Composer). Import data from various sources such as client APIs, SaaS platforms, event streams, and databases into secure cloud storage and warehouse layers. Create transformation logic using SQL and Python and deploy tested, well-documented models in dbt. Establish datasets and dashboards in Sigma for easy querying by business users and AI systems. Prepare and deliver data for AI applications, including feature tables, embeddings, and retrieval datasets, and provide access to data through controlled APIs and MCP servers. Utilize AI programming tools and automated workflows to enhance development efficiency, testing, and documentation, ensuring accuracy in the output. Set up data quality assessments, monitoring, and alerts, and develop automated procedures for diagnosing pipeline failures with AI support. Record details about pipelines, schemas, and data structures for the benefit of other teams and AI systems. Engage in code assessments and sprint planning within an agile, globally distributed team.

Negotiation

View details