Senior Java Engineer, Magnite

• 4–6 years of professional experience in Java development, with strong fundamentals in data structures, algorithms, and object-oriented design
• Deep experience with Vert.x or similar non-blocking frameworks
• Strong command of Java Collections, concurrency, and multithreaded programming
• Experience deploying and managing services in AWS (ECS, RDS, S3, CloudWatch) and on-prem environments
• Hands-on experience with caching systems (e.g., Redis, Memcached) and NoSQL/SQL databases (e.g., Aerospike, MySQL)
• Familiarity with monitoring tools (Datadog, Prometheus, Grafana) and distributed tracing
• Strong debugging and performance tuning skills

Desirable

• We’re the Ad Server Engineering team at Magnite, responsible for building and maintaining the core systems that power real-time ad delivery across display and CTV platforms
• Our team owns high-throughput services involved in auction handling, bid evaluation, and creative rendering—ensuring performance, reliability, and compliance at scale
• We are looking for a Senior Java Engineer to join our Streaming Ad Server Engineering team
• You will be responsible for building high-performance, scalable systems that process millions of queries per second, contributing to both feature development and performance optimizations across our ad-serving stack
• You’ll work closely with engineering leads and cross-functional partners to modernize legacy systems, introduce new technologies like Vert.x, and deploy highly observable and reliable services on AWS and on-prem infrastructure
• Design, develop, and maintain scalable and efficient Java-based applications for ad serving
• Leverage frameworks like Vert.x to build non-blocking, event-driven systems
• Write optimized, clean, and maintainable code with a strong emphasis on Java Collections and multithreading
• Collaborate with product managers and engineering teams to design and implement new features supporting real-time bidding (RTB), ad delivery, and analytics
• Ensure that all code meets performance, security, and scalability standards
• Optimize system throughput and latency using profiling tools, concurrency patterns, and JVM tuning
• Analyze and improve application performance with a deep understanding of Java concurrency models, thread pools, and memory management
• Build and maintain services deployed on AWS ECS, K8s, and on-prem environments
• Work with caching and storage systems like Memcached, Aerospike, and RDS
• Utilize modern Docker approaches for containerization and contribute to CI/CD pipelines for continuous deployment
• Implement robust monitoring and alerting using Datadog, CloudWatch, and other logging frameworks
• Use metrics and distributed tracing to detect issues early and improve reliability