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.