iOS Technical Lead
JOB DESCRIPTION
JOB REQUIREMENT
WHAT'S ON OFFER
CONTACT
Job Summary
Company Type:
Information Technology & Services
Technical Skills:
iOS, Swift, Objective-C
Location:
Ho Chi Minh - Viet Nam
Working Policy:
Salary:
Negotiation
Job ID:
J01455
Status:
Close
Related Job:
Growth Marketing Lead
Ho Chi Minh - Viet Nam
Product
- Marketing
Leading growth strategy and execution for user acquisition, activation, and retention. Developing clear and consistent positioning and messaging around the product's mission of local, open intelligence. Managing the product's Discord and social media accounts, growing online engagement, and organizing in-person meetups in various locations. Creating and distributing product explainers, updates, and thought leadership content to build trust and awareness. Utilizing analytics tools to track funnels and optimize outcomes. Collaborating with founders, designers, and engineers to align growth with the product direction and user feedback.
Negotiation
View detailsiOS Software Engineer (Senior)
Ho Chi Minh - Viet Nam
Product
- iOS
Collaborate with various teams to create and enhance products, platforms, and features. Create and oversee digitalization applications and platform SDKs. Address and resolve bottlenecks and issues in the system. Work with teams from different departments and global partners to deliver strong, scalable, and user-centric solutions. Research upcoming technologies to promote innovation and ongoing enhancements.
Negotiation
View detailsSenior/ Lead Data Engineer (Data Platform / MLOps)
Ho Chi Minh, Ha Noi - Viet Nam
Information Technology & Services
You will be responsible for managing, designing, and enhancing data systems and workflows that drive key business decisions. The role is focused 75% on data engineering, involving the construction and optimization of data pipelines and architectures, and 25% on supporting data science initiatives through collaboration with data science teams for machine learning workflows and advanced analytics. You will leverage technologies like Python, Airflow, Kubernetes, and AWS to deliver high-quality data solutions. Architect, develop, and maintain scalable data infrastructure, including data lakes, pipelines, and metadata repositories, ensuring the timely and accurate delivery of data to stakeholders. Work closely with data scientists to build and support data models, integrate data sources, and support machine learning workflows and experimentation environments. Develop and optimize large-scale, batch, and real-time data processing systems to enhance operational efficiency and meet business objectives. Leverage Python, Apache Airflow, and AWS services to automate data workflows and processes, ensuring efficient scheduling and monitoring. Utilize AWS services such as S3, Glue, EC2, and Lambda to manage data storage and compute resources, ensuring high performance, scalability, and cost-efficiency. Implement robust testing and validation procedures to ensure the reliability, accuracy, and security of data processing workflows. Stay informed of industry best practices and emerging technologies in both data engineering and data science to propose optimizations and innovative solutions.