Technical Lead (Smart Contract)

ABOUT CLIENT

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

JOB DESCRIPTION

Have a good grasp on smart contract, CI/CD pipeline, and deployment process
Able to interpret business requirements and translate them into smart contract designs
Proficient in understanding the business flow in Core banking and capable of discussing finance, credit card, and operations requirements with the business
Provide support for business features during development, UAT testing, and production, including problem-solving in smart contract issues
Solid experience in backend development using Python
Adheres to Agile software delivery framework
Previous experience in roles related to client-facing integration, implementation engineering, or solution architecture in B2B software product companies
Analyze and validate business requirements and convert them into technical specifications
Assess core platform changes versus client-specific requests
Develop Vault workflows and Python smart contract code based on client requirements (Software Engineering)
Collaborate with engineering to comprehensively understand Vault and its associated roadmap
Coordinate impact and requirements across projects and provide support for client staging and development instances
Investigate and resolve client technical queries and manage backlogs and sprint planning
Conduct post mortems and manage technical issues
Participate in testing, release cycles, and QA processes for client deployments

JOB REQUIREMENT

Proficient in Python programming, with a strong grasp of Python Core concepts.
A minimum of 2 years of practical experience in Smart contract hooks, Core APIs, Streaming APIs, and Smart contract version upgrade.
Skilled in plan and schedule management, as well as conducting unit testing and understanding CI/CD processes in Python.
Solid understanding and practical application of testing principles such as unit, integration, and e2e testing.
Familiarity with the CQRS pattern and proficiency in using Git flow, Trunk, and GitHub flow branching strategies.
Experience with DevOps toolchain including GitHub, CircleCI, Artifactory, SonarQube, and similar tools.
Knowledge of retail banking and accounting principles, such as double-entry bookkeeping, is a plus.
Bonus: Understanding of Blockchain technology and its operations.
Prior experience with projects in financial institutions, digital banks, or fintech would be beneficial.

WHAT'S ON OFFER

What we can provide for you?
Attractive salary
Guaranteed 13th-month salary
Additional performance-based bonuses
Access to professional English course
Comprehensive health insurance
Generous annual leave
Why choose us?
Competitive compensation
Comprehensive benefits package including medical, dental, and vision coverage
Emphasis on Company Culture and Core Values
Professional Development Training with personalized career growth plans
Exposure to global environment and diverse, international teams
Opportunity to work with leaders in technology within the financial services industry
Work with prominent clients in capital markets, banking, and other sectors

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, Blockchain

Location:

Ho Chi Minh, Ha Noi - Viet Nam

Working Policy:

Job ID:

J01527

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