Mintegral

Mintegral is a leading programmatic and interactive mobile advertising platform. With our efficient mobile marketing and monetization solutions, we help our clients exceed their marketing goals. To be successful in the role, he or she will need to have a comprehensive understanding of the mobile ad monetization ecosystem and the ability to provide technical product solutions to developers and publishers. -Take a consultative approach to understand the goals, motivations, and performance needs of your accounts to optimize toward clients' KPIs -Data-driven mindset and the ability to analyze data for proposals and negotiation

About Us Mintegral is a leading programmatic and interactive mobile advertising platform. Focused on the APAC region and radiating out globally. Lead the planning, development, and continuous optimization of Mintegral's global operations, infrastructure, and SRE systems to support large-scale ad requests, real-time bidding, and data processing systems.Build and improve automated operations platforms and processes, including automated deployment, monitoring and alerting, capacity planning, incident management, resource scheduling, configuration management, cost analysis, and performance optimization.Drive server and cloud infrastructure cost optimization, including resource pooling, elastic scaling, capacity governance, cost attribution, procurement strategy, and hybrid-cloud / multi-cloud architecture, with the goal of continuously reducing infrastructure costs.Improve core system efficiency and reliability by optimizing the ad request pipeline, infrastructure performance, network latency, service availability, disaster recovery capabilities, and global node deployment strategy.Establish a comprehensive observability framework, including logs, metrics, distributed tracing, real-time monitoring, SLA/SLO management, incident reviews, and risk early-warning mechanisms.Work closely with engineering, algorithms, product, data, sales, and commercialization teams to ensure operations and infrastructure capabilities support business growth, customer delivery, and global market expansion.Drive operations automation and intelligence by introducing or building AIOps, automated root cause analysis, anomaly detection, capacity forecasting, and intelligent resource scheduling capabilities.Establish core metrics for cost, efficiency, and reliability, and regularly report infrastructure ROI, optimization progress, and business impact to the CEO and senior leadership team.Depending on the level, lead or guide operations, SRE, infrastructure, or platform engineering teams, including technical management, talent development, and organizational planning.Requirements 5+ years of experience in operations, SRE, infrastructure, platform engineering, or technical operations, preferably in large-scale internet platforms, ad tech platforms, cloud platforms, or distributed systems.Proven success building automated operations systems, SRE frameworks, infrastructure platforms, or cost optimization mechanisms, with measurable impact on reliability, efficiency, or cost.Strong knowledge of large-scale distributed systems, high-concurrency services, low-latency systems, global deployment, containerization, Kubernetes, cloud services, CDN, network optimization, and capacity planning.Experience optimizing server costs, with familiarity in cloud cost governance, resource utilization optimization, FinOps, capacity management, elastic scaling, procurement strategy, or hybrid-cloud / multi-cloud architecture.Strong famili

Mintegral is a premier programmatic and interactive mobile advertising platform, originating from the APAC region and expanding globally. Driven by advanced AI technology, we deliver innovative, comprehensive solutions to advertisers and developers, helping them achieve their marketing goals through exceptional mobile marketing and monetization strategies. In this role, you will develop large-scale real-time ML inference systems that enhance ad ranking, retrieval, and prediction for global traffic. Ads Serving System ArchitectureEngineer complete ads ranking and serving architectures for real-time bidding and recommendation systems.Create flexible and separated inference pipelines across CPU and GPU layers.Optimize latency for high-QPS ad delivery systems.ML Inference OptimizationDevelop and enhance ML deployment pipelines for diverse CPU/GPU environments.Augment model freshness and inference performance.Facilitate swift iterations of ML models in production.Distributed Systems & Embedding InfrastructureDesign extensive embedding storage and retrieval systems.Create adaptive sharding strategies across different hardware.Strengthen load balancing and overall system stability.Ads Ranking Performance EngineeringOptimize QPS, latency, and throughput.Identify and resolve bottlenecks in inference pipelines.Enhance overall ranking performance from end to end.ML Compiler & Runtime SystemsDevelop AOT compilation frameworks for ML models.Transform models into optimized C++/CUDA/ROCm execution.Elevate inference efficiency across various hardware backends.Cross-functional CollaborationCollaborate with engineers and product teams.Productionize ML models effectively.Establish and uphold standards for scalability and reliability. 4+ years in distributed systems or ML infrastructure.Experience with ML serving or recommendation systems.Solid background in distributed systems and performance optimization.Experience with CPU/GPU systems.Proficiency in C++ / Python.Familiarity with ML frameworks.