Senior Software Engineer, Programmatic AD Ecosystem

Location : Guangzhou, CHINA Type : Full-Time

About the Company JUUUNO is a forward-thinking technology company on a mission to revolutionize the mobile advertising landscape. We are building a next-generation, data-driven advertising platform from the ground up. We're a small, ambitious team looking for a foundational engineer who thrives on complex challenges and wants to have a massive impact on our product and direction.

The Opportunity We are seeking a highly skilled and motivated Software Engineer to architect and build the core of our programmatic advertising ecosystem. This is a rare greenfield opportunity to design and develop a Demand-Side Platform (DSP) from scratch, including its high-throughput ad auction engine, data processing pipelines, and crucial API & SDK integrations.

Your work will be instrumental in creating a competitive Ad solution inspired by industry leaders like Mintegral (known for its high-volume in-app auctions), Nativex (for its cross-channel reach), and Moloco (for its machine learning-driven performance). You will lay the technical foundation for a system that handles billions of daily requests, makes real-time bidding decisions in milliseconds, and delivers measurable value to advertisers and publishers.

Key Responsibilities Architect and Build the DSP Core : Design, develop, and deploy the low-latency, high-availability backend services that power our real-time bidding (RTB) engine.

Develop High-Performance APIs : Build robust and well-documented APIs for internal services and for external integrations with Supply-Side Platforms (SSPs) and ad exchanges using OpenRTB and other relevant protocols.

Create and Integrate SDKs : Design, develop, and maintain our Android and iOS SDKs for seamless integration into publisher apps, handling ad rendering, user interaction, and data collection.

Design Data Pipelines : Architect systems to process and analyze vast volumes of impression, click, and conversion data for reporting, forecasting, and real-time optimization.

Implement Key Advertising Features : Develop functionality for ad campaign management, user targeting, budget pacing, fraud prevention, and real-time analytics.

Ensure System Reliability : Build for scale, performance, and fault tolerance. Implement monitoring, alerting, and logging to ensure system health.

Collaborate : Work closely with product managers and data scientists to translate business requirements into technical solutions and integrate machine learning models for bidding and targeting.

Required Qualifications Bachelor's or Master's degree in Computer Science or a related field, or equivalent practical experience.

5+ years of experience in software engineering, with a proven track record of building and shipping large-scale, distributed systems.

Must-Have Technical Skills :

Languages : Deep proficiency in Go (Golang) and / or Java / Kotlin. (Go is highly preferred for its concurrency model in high-throughput systems).

Databases : Strong experience with SQL (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g., Redis for caching, Cassandra / ScyllaDB or DynamoDB for time-series data).

Data Technologies : Experience with stream-processing technologies like Kafka, Flink, or Spark Streaming.

Architecture : Solid understanding of microservices architecture, API design (REST, gRPC), and containerization (Docker, Kubernetes).

Domain Knowledge : Direct experience in the ad-tech industry is crucial. You must understand the RTB ecosystem, including protocols like OpenRTB (2.5 / 3.0), ad serving concepts (VAST / VPAID / VMAP), and attribution models (SKAdNetwork, MMPs).

Problem-Solving : Excellent analytical and problem-solving skills with a passion for optimizing complex systems for latency and scale.

Preferred Qualifications Experience in building or working extensively with a DSP, SSP, Ad Exchange, or Ad Network.

Hands-on experience in developing mobile SDKs for Android (Java / Kotlin) and / or iOS (Objective-C / Swift), including concerns like package size, memory usage, and compatibility.

Experience with cloud platforms (AWS, GCP, or Azure) and infrastructure-as-code (Terraform, CloudFormation).

Knowledge of machine learning concepts and experience deploying ML models in production environments.

Familiarity with digital advertising concepts like viewability, brand safety, and ad fraud detection.

What We Offer A competitive salary and significant equity package. You're not just an employee; you're a builder and a key part of our success.

The unique opportunity to be a founding engineer and architect a massive system from the ground up.

A challenging and rewarding environment where your work directly impacts the product and the company.

Flexibility with remote work and a supportive, collaborative culture.