Senior Python Developer

JOB DESCRIPTION

We are seeking a highly skilled Python Developer with a minimum of 4 years of experience to join our dynamic team. The successful candidate will play a crucial role in understanding, designing, and implementing Thought Machine smart contracts, with a focus on Core banking processes.
Smart Contract Development
Understand and contribute to the development of smart contracts, CI/CDpipeline, and deployment processes
Design Thought Machine smart contracts based on businessrequirements, ensuring accuracy and efficiency
Business Integration
Collaborate with business stakeholders to understand and discussrequirements related to Finance, Credit card, and Ops processes inCore banking
Provide support during the development, UAT testing, and productionphases, triaging issues in smart contracts
Python Back-end Development
Leverage solid experience in Python back-end development toimplement and optimize smart contract code
Agile Software Delivery
Follow Agile software delivery frameworks to ensure efficient anditerative development processes
Technical Analysis and Implementation
Analyse and validate business requirements, translating them intotechnical specifications for smart contract development
Implement Vault workflows and Python code from client requirements
Collaboration and Coordination
Collaborate with engineering teams, obtaining a deep technicalunderstanding of Vault and associated roadmap
Coordinate impact and requirements across projects, supporting clientstaging and development instances
Issue Resolution and Post-Mortems
Investigate and resolve client technical queries related to smartcontracts
Conduct post-mortems and defect management on technical issues, contributing to continuous improvement
Testing and Quality Assurance
Participate actively in testing, release cycles, and QA processes, ensuring the reliability of smart contract implementations
Conduct unit testing in Python and understand CI/CD processes

JOB REQUIREMENT

Minimum of 4 years of experience in Python development
Proficiency in Python, Starlark
Experience in plan management, schedule management, and unit testing in Python, with a strong grasp of CI/CD processes
Practical knowledge of testing principles, including unit, integration, and end-to end testing.
Understanding of the CQRS pattern and practical knowledge of Git flow, Trunk, and GitHub flow branching strategies
Familiarity with the DevOps toolchain, including GitHub, CircleCI, Artifactory, SonarQube, etc.

WHAT'S ON OFFER

Why join with us
We build a professional & fun working environment.
We focus on your growth, yes the long-term growth.
We develop the future-ready digital bank platform.
Benefits
Competitive salary and bonus.
Opportunities for your professional growth in fintech, especially in digital banking 
Social insurance (max), premium medical insurance
Parking allowance, snacks, and coffee.
Monthly team-building and social activities. 

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, Backend

Location:

Ho Chi Minh, Ha Noi - Viet Nam

Working Policy:

Job ID:

J00770

Status:

Close

Related Job:

FULL STACK DEVELOPER

Ho Chi Minh - Viet Nam


Product, Outsource

  • ReactJS
  • NodeJS

Web Application Development: Design, develop, and maintain high-performance web applications using React and TypeScript. Backend Services & APIs: Implement and optimize backend services and APIs within a Kubernetes-powered Azure environment. Monorepo Architecture: Work within a monorepo structure to ensure modularity, scalability, and efficient code management. AI & Data Collaboration: Partner closely with AI and Data teams to integrate real-time analytics and machine learning models into applications. Reliability & Scalability: Ensure application reliability, observability, and scalability by applying best practices in CI/CD, monitoring, and infrastructure automation. Architecture & Deployment: Contribute to architectural decisions and continuous improvements in Kubernetes-based deployments.

Negotiation

View details

AI Automation Developer

Ho Chi Minh - Viet Nam


Product, Outsource

  • AI
  • NodeJS
  • ReactJS
  • Typescript
  • Devops

Create and implement GenAI-based applications across the client's operational processes Convert business needs into technical prototypes and operational applications Develop chat agents, copilots, and workflow automatons to enhance operational teams Leverage Microsoft Copilot Studio, Azure AI Services, and automation tools like Power Automate to craft scalable AI solutions Integrate GenAI features into existing systems and procedures Ensure responsible AI use, data accuracy, and compliance with internal security standards Keep abreast of new GenAI technologies, tools, and platforms through constant research and assessment Work collaboratively with various experts within operations, IT, and business units to document solutions and share knowledge across teams

Negotiation

View details

AI Agent Ops Engineer

Ho Chi Minh - Viet Nam


Product

  • AI
  • Backend

Responsible for the design, construction, and upkeep of production-grade AI agent systems, including areas such as context engineering, instruction architecture, secure execution boundaries, tool integrations, multi-step orchestration, memory strategies, and reliability patterns. Manage the complete lifecycle of agents from prototyping to deployment, monitoring, and iterating. Develop and maintain an evaluation pipeline to measure agent quality, identify regressions, and enforce deployment gates through the use of golden datasets, scenario suites, and automated checks. Instrument agents and agent platforms for production observability, such as structured logging, tracing, metrics, latency monitoring, cost monitoring, and analysis of tool-call success rates and failures. Establish operational readiness standards, including rollback criteria, incident response playbooks, and recovery paths for common failure modes. Collaborate with product engineering teams to identify high-value use cases suitable for agent automation, operating in a Central Agent Ops role to enable AI product builders through AI enablers. Translate business workflows into tasks executable by agents and provide coaching to engineers on context engineering best practices, harness design, regression testing patterns, agent skill design, and tool-contract discipline. Streamline the onboarding process for teams adopting AI capabilities and train product engineers to independently extend and maintain agent skills. Develop and maintain organizational standards for agents, including naming conventions, context file structures, skill interface contracts, evaluation criteria, and release quality benchmarks. Establish and enforce "repo-as-discipline" practices to ensure that agent knowledge is versioned, reviewable, discoverable, and reusable. Cultivate a shared agent skills library for teams to reuse and extend, while keeping track of AI tooling/framework updates and external best practices to provide centralized information to product teams. Facilitate internal knowledge-sharing sessions, showcases, and retrospectives to efficiently propagate learnings.

Negotiation

View details