Technical Lead (TypeScript, English)

JOB DESCRIPTION

Design and maintain a scalable cloud-based system architecture that aligns with the product vision and roadmap.
Develop system interfaces, databases, and code structures to ensure long-term scalability and maintainability.
Collaborate with stakeholders to define software engineering OKRs.
Provide hands-on technical guidance to team members, while also participating in coding and technical problem-solving.
Collaborate closely with software engineers from other teams in Vietnam who are working on the headquarters' mass customization platform.
Build and nurture strong relationships with project stakeholders across regions.

JOB REQUIREMENT

Basic Qualifications:
5+ years of experience across the full software development lifecycle, including coding standards, code reviews, version control, build processes, testing, and deployment.
5+ years of experience building highly scalable systems.
Proficient in TypeScript, with at least 5 years of experience in another programming language.
Hands-on experience in designing and optimizing relational databases such as MySQL or PostgreSQL.
Experience working with and improving legacy systems, as well as building and maintaining REST and GraphQL APIs.
Experience designing and implementing asynchronous processing with event streaming technologies like Kafka.
Strong familiarity with cloud infrastructure, particularly AWS or GCP.
Additional Skills:
Proficiency in English (speaking, reading, writing) for collaboration with international teams.
Strong documentation skills using tools like Notion, ClickUp, GitHub Wiki, etc.
Comfortable with pair programming and/or mob programming.
Strong preference for teamwork and collaborative problem-solving.
Preferred Qualifications:
Experience in SRE or cloud infrastructure engineering.
Experience in B2B product development and operations.
Familiarity with User-Centered Design principles.
Experience with KPI-based goal setting and measuring technical team performance in alignment with business objectives.
Willingness to travel within Southeast Asia for product development meetings, events, and related activities.

WHAT'S ON OFFER

At least 15 annual days of a year
Private healthcare package
Salary review TWICE a year + performance bonus
MacBook Pro, Ergonomic chairs, 140cm wide desk
Drinks and Snacks at the office, monthly team-building party

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:

Typescript, NodeJS, NextJS, Data, Architect, Ruby

Location:

Ho Chi Minh - Viet Nam

Working Policy:

Job ID:

J01633

Status:

Close

Related Job:

Data Engineer

Ho Chi Minh - Viet Nam


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

View details

Senior/ Lead Data Engineer

Ho Chi Minh - Viet Nam


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

View details

Data Scientist

Ho Chi Minh - Viet Nam


Outsource

  • Data Science

Formulate client business inquiries as analytical and modeling challenges, and choose appropriate methodologies. Develop, verify, and implement predictive models like propensity, segmentation, churn, forecasting, and recommendation. Plan and assess experiments, including A/B tests and incrementality studies, and communicate outcomes to varied audiences. Devise and construct anticipatory applications, involving tool-utilizing agents, multi-step workflows, retrieval-augmented generation, and prompt design. Create assessment frameworks for AI systems, comprising test sets, quality metrics, guardrails, and regression checks on model and agent behavior. Utilize AI agents and automated workflows to enhance the efficiency of analysis, code development, and documentation processes, and verify their results. Collaborate with Data Engineers to operationalize features, models, and agents on cloud platforms such as Google Cloud Platform (BigQuery, Vertex AI), AWS (SageMaker, Bedrock), and Databricks (Spark, MLflow). Record methodologies, assumptions, limitations, and deliver findings to clients and internal leadership teams.

Negotiation

View details