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Perform manual and exploratory testing across frontend and backend, validate APIs and data using SQL, contribute to UI/API automation (Playwright/Cypress/Postman), document bugs in Jira, participate in sprint planning, and own quality and regression testing before releases.

Build and maintain high-throughput Go microservices handling 2M+ daily interactions. Design event-driven pipelines (Kafka/SQS/SNS/Kinesis), optimize APIs and queries across DynamoDB, MySQL, Druid, and Athena, integrate ML algorithms with the Data Science team, implement secure callbacks (OAuth2, mTLS, HMAC), and collaborate across international teams. Use Terraform, Docker, and serverless tooling to deploy reliable, scalable systems.

Lead and execute global creative direction for adjoe, managing a 4-5 person design team across time zones. Ensure brand consistency across channels, translate commercial objectives into high-converting design, develop scalable templates and brand guidelines, and deliver assets for web, events, presentations, data visualization, and performance marketing. Act as player-coach and collaborate closely with Growth, Product Marketing, and Content.

Own demand and supply partnerships in Korea: source and close mobile gaming advertisers and app publishers, manage pipeline, conduct market research, onboard clients, prepare sales presentations, and coordinate with internal teams to grow revenue and optimize partner monetization.

Design, build, and productionize large-scale recommendation and bidding ML models. Own the full ML lifecycle from feature discovery and training to deployment, real-time low-latency inference, monitoring, and A/B experimentation. Collaborate with backend and data engineering teams to integrate models and iterate on performance.

Lead the Dashboards team as a senior Go engineer and architect: design and operate adtech-scale distributed systems, build real-time analytics pipelines and dashboards (50M+ daily events), own partner-facing APIs and microservice integrations, optimize columnar DB queries (Druid/ClickHouse), work with TypeScript/React frontends, and manage and develop engineering team members while aligning technical decisions with business needs.

Create and maintain developer-facing documentation (API references, SDK guides, integration tutorials, sample apps). Build demo apps in Swift/Kotlin, contribute to Docusaurus/Markdown tooling, use JavaScript/TypeScript/HTML for components, debug integrations using SQL, logs, and dashboards, and collaborate cross-functionally to improve developer experience and reduce integration friction.

Lead technical analyses to detect and prevent ad fraud at scale. Build and optimize SQL/Python data pipelines, apply anomaly detection methods, design experiments, automate reusable analytics frameworks, and communicate findings to technical and non-technical stakeholders to drive business decisions.

Build and maintain ML-scale data infrastructure: feature store, real-time and batch pipelines, data quality and validation, and low-latency systems. Translate Data Science needs into high-performance Flink streams, eliminate ETL bottlenecks, collaborate on online ML systems, and implement monitoring, governance, and deployment processes for production ML workflows.

Lead and grow the Data Science team owning the real-time bidding algorithm, combine hands-on modeling with people leadership, architect and deploy large-scale ML systems, run experiments and A/B tests, and align model work with product and infrastructure priorities to drive ad monetization and business outcomes.