Staff Engineer, Magnite

• Strong expertise in multithreaded programming and non-blocking frameworks like Vert.x
• Proficiency in Java (modern frameworks such as Spring Boot are a plus)
• Experienced in designing and optimizing distributed systems for high throughput, low latency, and high availability and reliability
• Hands-on experience with caching (Memcached, Redis, etc) and databases (Aerospike, MySQL, Postgres, etc)
• Proven experience in designing and delivering new features and modules aligned with product requirements and timelines
• Ability to translate business requirements into technical solutions with scalability and reliability in mind
• Experience with monitoring tools such as Datadog, Grafana, Prometheus, and AWS-native solutions like CloudWatch
• Strong knowledge of logging and distributed tracing tools (e.g. OpenTelemetry, etc)
• Familiarity with developer productivity tools such as SonarQube, CI/CD pipelines, automated testing frameworks, and infrastructure-as-code solutions
• Proven ability to lead technical projects and mentor engineering teams
• Strong collaboration skills to work with product, engineering managers, and stakeholders

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 seeking a Staff Engineer to join our team, focusing on building, scaling, and modernizing our high-performance ad server
• This role involves designing and implementing scalable, low-latency solutions to handle millions of queries per second (QPS), modernizing legacy systems, and building new features to support our product roadmap and quarterly commitments
• You will work on various aspects of ad serving, leveraging cutting-edge AWS infrastructure and frameworks such as Vert.x and Spring Boot
• You will also utilize relational databases like MySQL and PostgreSQL alongside Aerospike, a highly scalable and reliable NoSQL solution
• By integrating tools like Datadog and Grafana, you'll develop robust, scalable, and observable solutions to meet the evolving demands of ad tech
• You'll develop scalable, low-latency solutions to support ad-serving operations, ensuring response times in milliseconds
• Architect and optimize multithreaded, non-blocking systems using frameworks such as Vert.x
• Collaborate with product teams to understand requirements, design technical solutions, and deliver high-quality features to support business goals
• Ensure that new features are robust, scalable, and aligned with system architecture principles
• Lead the modernization of legacy Java/Tomcat systems, implementing best practices, upgrading frameworks, and adopting modern technologies
• Improve developer experience by integrating tools such as SonarQube, CI/CD pipelines, and testing frameworks
• Drive the adoption of containerized and orchestrated deployments using Docker, ECS and Kubernetes (EKS)
• Design and implement robust monitoring and observability systems using AWS-native tools (CloudWatch, etc) and third-party tools (Datadog, Grafana)
• Establish real-time alerting, logging, and distributed tracing systems to ensure platform health and reliability
• Leverage AWS infrastructure (ECS, EKS, S3, RDS) to build and optimize services
• Architect and implement scalable storage and caching solutions using Aerospike, Memcached, Redis, etc
• Mentor and guide engineers, providing technical leadership and fostering a culture of engineering excellence
• Collaborate with cross-functional teams to prioritize features, address technical debt, and improve system reliability
• Address domain-specific challenges such as Real-Time Bidding (RTB), ad delivery, reporting, and data pipeline optimization