Senior Software Engineer (Python)

ABOUT CLIENT

Our client is a cutting-edge technology company specializing in innovative solutions for automation. With a focus on efficiency and productivity, our client's products are designed to streamline processes and improve overall workflow. Their commitment to excellence and customer satisfaction sets them apart as a leader in the industry.

JOB DESCRIPTION

Develop and manage a strong software framework for the AI product to cater to diverse enterprise clients.
Create and implement scalable software architectures and systems to support quick integration of new features.
Build reusable components, libraries, and tools to assist other developers in efficiently extending the product.
Collaborate with different teams to define software requirements and ensure alignment with customer needs.
Ensure the software framework is well-documented, well-tested, and follows best practices for code quality.
Improve software development processes and tools for enhanced efficiency.
Keep abreast of the latest trends in software engineering and integrate new technologies into the product framework.
Participate actively in code reviews and collaborate with the team to address technical challenges.
Offer insights and recommendations based on software engineering expertise to contribute to the product strategy and roadmap.

JOB REQUIREMENT

Must have:
Completed a Bachelor's or Master's degree in Computer Science, Software Engineering, or a closely related field.
A minimum of four years of software engineering experience, with a focus on developing complex systems.
Proficiency in Python and familiarity with other programming languages such as Java, C++, or JavaScript is an advantage.
Thorough understanding of software development best practices, including version control (Git), automated testing, and comprehensive documentation.
Hands-on experience with cloud computing platforms (AWS, GCP, or Azure) to build, deploy, and maintain applications.
Proficiency in containerization and orchestration technologies, especially Docker and Docker-compose or Kubernetes.
Strong database skills encompassing both SQL and NoSQL databases (e.g., MySQL, PostgreSQL, MongoDB).
Demonstrated proficiency in setting up and managing CI/CD pipelines (e.g., Jenkins, GitLab CI, GitHub Actions) for efficient deployment processes.
Knowledge of software security best practices and their implementation in production environments.
Familiarity with monitoring and logging tools for application health and performance maintenance.
Excellent problem-solving abilities and a collaborative mindset for effective teamwork.
 
Nice to have:
Experience in generative AI, chatbots, messaging applications, Large Language Models (LLMs), or NLP technologies.
Familiarity with frontend technologies (e.g., ReactJS) and Agile/Scrum methodologies.
Strong problem-solving and proactive troubleshooting skills.

WHAT'S ON OFFER

Attractive compensation and benefits package.
Daily lunch allowance.
Opportunities for international training and work.
Supportive culture with resources for career growth.
Dynamic and innovative work environment.
Flexibility with hours and unlimited paid leave.
Team building activities and outings.

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:

Product, AI Application Platform

Technical Skills:

Python

Location:

Ho Chi Minh - Viet Nam

Working Policy:

Onsite

Job ID:

J01131

Status:

Close

Related Job:

Software Engineer (Node.js) - Database

Ho Chi Minh - Viet Nam


Product

  • NodeJS

Design system architectures, establish coding standards, and construct cohesive, cloud-native solutions. Develop high-quality Node.js code, optimize system performance, and tackle complex software integration challenges. Oversee the testing, deployment, and comprehensive documentation of integrated systems. Mentor less-experienced engineers, engage in cross-functional teamwork, and ensure solutions meet business requirements and international standards. Participate actively in all Agile software development phases, including creating user stories and executing sprint planning Engage with multinational companies, demonstrating flexibility to occasionally adapt to US and EU time zones.

Negotiation

View details

Software Engineer (Node.js) - Platform Security

Ho Chi Minh - Viet Nam


Product

  • NodeJS

Design system architectures, establish coding standards, and construct cohesive, cloud-native solutions. Develop high-quality Node.js code, strengthen system security and reliability, and tackle complex software integration challenges. Design and implement platform security controls across web applications, APIs, and cloud services, including authentication, authorization, session management, secrets management, encryption, and audit logging. Identify and remediate security risks through threat modeling, secure code reviews, automated security testing, dependency scanning, and investigation of security-related issues. Oversee the testing, deployment, and comprehensive documentation of integrated systems. Mentor less-experienced engineers, engage in cross-functional teamwork, and ensure solutions meet business requirements and international standards. Participate actively in all Agile software development phases, including creating user stories and executing sprint planning Engage with multinational companies, demonstrating flexibility to occasionally adapt to US and EU time zones.

Negotiation

View details

AI Agent Ops Engineer

Ho Chi Minh - Viet Nam


Product

  • AI

#Agent Engineering & operation Design, build, and maintain production-grade AI agent systems, including: context engineering and instruction architecture, prompt hardening and safe execution boundaries, tool integrations and multi-step orchestration, memory strategies and reliability patterns. Own the full agent lifecycle: prototype → evaluate → deploy → monitor → iterate. Build and maintain an evaluation pipeline to measure agent quality, catch regressions, and enforce deployment gates (golden datasets, scenario suites, automated checks). Instrument agents and agent platforms for production observability: structured logging, tracing, and metrics; latency and cost monitoring; tool-call success rates and failure analysis. Define operational readiness standards including: rollback criteria, incident response playbooks, recovery paths for common failure modes.#Team Enablement & Coaching Embed with product engineering teams to identify high-value use cases ready for agent automation. We will be operating in a Central Agent Ops role enabling Ai product builders through AI enablers. Translate business workflows into agent-executable tasks with clear: contact boundaries/interfaces, assumptions and inputs/outputs, failure modes and safe fallbacks. Deliver targeted coaching to engineers on: context engineering best practices, harness design and regression testing patterns, agent skill design and tool-contract discipline. Reduce onboarding time for teams adopting AI capabilities-from first conversation to a production-ready agent. Train product engineers to extend and maintain agent skills independently.#Standards & Knowledge operations Author and maintain org-level standards for agents, including: naming conventions, context file structures and ownership rules, skill interface contracts (inputs/outputs, invariants, error handling), evaluation criteria and release quality bars. Establish and enforce "repo-as-discipline" practices so agent knowledge is: versioned, reviewable, discoverable, reusable; not trapped in prompt snippets or individual heads. Build and grow a shared agent skills library that teams can reuse and extend. Track and aggregate AI tooling/framework updates and external best practices, serving as a central intake so product teams don't each have to follow the entire AI landscape. Run internal knowledge-sharing sessions, showcases, and retrospectives to propagate learnings efficiently.

Negotiation

View details