Technical Lead (Python)

ABOUT CLIENT

Our client is a global technology company that specializes in providing innovative IT solutions for the financial services industry

JOB DESCRIPTION

Take charge of developing, enhancing, and maintaining Python applications, automation tools, scripts, and utilities.
Provide technical mentorship and guidance to engineers, including code reviews, solution design, troubleshooting, and best-practice adoption.
Create automation scripts to facilitate testing, monitoring, deployment, and operational workflows.
Develop and maintain automation test scripts using Python and related frameworks.
Assist in backend service development, API integration, and internal tooling using Python.
Collaborate with development, QA, DevOps, and operations teams to define technical approaches and ensure successful delivery.
Enhance code quality, maintainability, reliability, scalability, and performance.
Integrate automated scripts and tools into CI/CD pipelines, such as GitHub Actions or similar platforms.
Support DevOps-related activities, including build, deployment, release automation, and environment configuration.
Work with containerized environments using Docker and Kubernetes.
Collaborate with infrastructure and DevOps teams to support deployment and operations in cloud-native environments.
Troubleshoot application, automation, and deployment issues across development, test, and production-like environments.
Contribute to technical documentation, coding standards, automation guidelines, and continuous improvement initiatives.
Support team planning, task breakdown, technical estimation, and delivery coordination in Agile/DevOps environments.
Mentor and coach team members, aiding in their technical growth and encouraging adherence to engineering best practices.

JOB REQUIREMENT

Minimum of 7 years of hands-on experience in Python development, with at least 1-2 years in a technical lead, senior engineer, or similar leadership role.
Proficiency in Python coding, including scripting, automation, backend development, and API integration.
Demonstrated ability to lead technical discussions, review code, guide solution design, and support engineering teams.
Experience in automation testing or test script development using Python.
Strong understanding of software engineering practices, clean code, debugging, maintainability, and performance optimization.
Experience working with CI/CD pipelines, preferably GitHub Actions or similar tools.
Practical experience with Docker and Kubernetes.
Familiarity with Linux environments and shell scripting.
Experience working with REST APIs and service integration.
Good understanding of cloud-native application environments.
Experience working in Agile/DevOps teams.
Strong problem-solving skills and ability to work independently with minimal supervision.
Strong communication skills and ability to collaborate with development, QA, DevOps, operations, and infrastructure teams.
Ability to mentor engineers, coordinate technical work, and support delivery across cross-functional teams.
Experience with AWS cloud services.
Experience with infrastructure automation or deployment scripting.
Familiarity with monitoring, logging, and observability tools.
Experience with test automation frameworks such as Pytest, Robot Framework, or similar.
Exposure to backend frameworks such as FastAPI, Flask, or Django.
Familiarity with Infrastructure as Code tools such as Terraform.
Experience working in regulated or security-heavy environments, such as organizations operating under ISO 27001, GDPR, or similar standards.
Experience working with compliance, audit, security, or risk-related requirements in enterprise technology environments.
Understanding of secure development constraints and experience working with compliance and security requirements.
Experience in enterprise application environments, with an understanding of application security and secure coding practices being a plus.

WHAT'S ON OFFER

Attractive base salary with annual bonus and incentives based on performance.
Comprehensive healthcare insurance and wellness programs.
Access to professional English courses and opportunities to enhance skills.
Flexibility in the working environment with international exposure.
A vibrant and inclusive culture that prioritizes ongoing innovation and collaboration.

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, Ha Noi - Viet Nam

Working Policy:

Hybrid

Job ID:

J01834

Status:

Close

Related Job:

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

Senior/ Lead Data Engineer

Ho Chi Minh - Viet Nam


Outsource

  • Data Engineering
  • Python
  • Cloud

Develop pipelines on various cloud platforms such as Google Cloud Platform, AWS, and Snowflake for large enterprises. Create data models using dbt and make them accessible through layers that can be easily queried by analysts and applications. Construct data products that support automated systems, including layers for retrieval, pipelines for embedding, and interfaces for tools that agents use. Create workflows where agents oversee pipelines, address issues, conduct tests, and suggest improvements. Collaborate with teams from different backgrounds to hasten pipeline development, testing, and migration from older systems, ensuring that all changes are thoroughly checked before implementation. Establish and uphold data engineering standards for automation, continuous integration/continuous deployment (CI/CD), infrastructure as code, testing, and monitoring through code reviews. Take charge of data quality, data lineage, security, and cost management on various platforms, ensuring proper access controls and audit trails. Provide guidance to Data Engineers, evaluate their work, and serve as the representative for the data engineering team in technical conversations. Transform client business needs into technical designs and estimates for new projects.

Negotiation

View details