Senior/Principal/Lead Backend Engineer

JOB DESCRIPTION

Responsible for delivering our core platform architecture.
Solving difficult problems around data-intensive and complex data flow systems.
Building highly scalable and dynamic game and web servers that can withstand massive user traffic.
Finding elegant ways to incorporate state-of-the-art solutions from our research initiatives into our products. 

JOB REQUIREMENT

You're proficient in at least one modern backend language (Golang/Python/Rust/NodeJS)
You write secure, efficient, and elegant code.
You learn quickly and adapt to new principles and ideas.
You're a team player and can work closely with the rest of our team.
Nice to Have
Experience with TypeScript, Rust, Go, Solidity.
Experience with Postgres, Redis. 

WHAT'S ON OFFER

Front row seat to one of the most exciting blockchain projects that make positive impacts in changing many people’s lives globally
A fast-paced, young, active, and fun working environment where everything revolves around games and cute species
A competitive salary package that fit your skills, experiences, and contributions
Give you freedom & ownership to your work
Embrace your nature as a gamer (Why else would you want to join us?
You’ll acquire new skills as we usher in a new era of ownership.
Help you to give your family the security that they deserve

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

Technical Skills:

Golang, Typescript

Location:

Ho Chi Minh - Viet Nam

Working Policy:

Job ID:

J00259

Status:

Close

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Product

  • Management
  • Backend
  • Data Engineering
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Develop and implement a cohesive roadmap for strategic execution based on the company's strategic ambitions Coordinate and oversee multiple engineering teams within the organization to achieve desired outcomes Collaborate with various internal teams, including technology, risk, business, and product teams, to ensure requirements are met before and after project delivery Take responsibility for both the development and ongoing operational support of applications in production Manage cyber security updates, ensuring software versions are up to date and infrastructure is patched regularly Monitor and control investment delivery to maintain alignment between different domains and optimize spending Facilitate collaboration between engineering and risk domain experts to achieve strategic technology goals

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Outsource

  • Data Engineering

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

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Senior/ Lead Data Engineer

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Outsource

  • Data Engineering

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

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