Python Developer

Salary : $50,000 USD

Department Overview

This team oversees the entire advertising technology ecosystem that powers global ad operations. It is a cross-functional, data-driven organization with members distributed across multiple countries, working collaboratively to deliver scalable solutions.

Our mission is to enable internal and external stakeholders with data-driven marketing capabilities by building and enhancing platforms for ad delivery, tracking, reporting, and data synchronization. Joining this team means working on high-performance systems and large-scale applications that handle heavy traffic, as well as big data processing pipelines.

We are responsible for developing and maintaining the infrastructure that supports advertising activities across various channels. This is not just about running ads—it’s about creating the platforms that make advanced marketing possible.

Why We’re Hiring

To accelerate the development of our tracking and reporting platform and related services, we are seeking talented engineers who can bring both technical expertise and marketing insight to the team.

Role Overview

As a Software Engineer, you will play a key role in designing, developing, and maintaining the tracking and reporting platform. You will work closely with stakeholders to translate business requirements into robust technical solutions that support marketing activities efficiently.

Responsibilities

Participate in the full lifecycle of web application and data pipeline development, including architecture design, technology selection, coding, configuration, deployment, and operations.

Diagnose and resolve system issues proactively, ensuring service reliability and stability.

Recommend and implement new technologies, tools, and frameworks to improve system architecture and performance.

Mandatory Qualifications

Minimum 3 years of professional experience in web application or data pipeline development.

Strong programming skills in Python and SQL .

Hands-on experience with Linux-based systems .

Ability to evaluate and integrate open-source software into production environments.

Preferred Qualifications

Familiarity with Google Cloud Platform (GCP) .

Experience with big data technologies such as Hive , Spark , and Kafka .