Staff Engineer (Java)

Magnite•New York, NY

14d•Hybrid

About The Position

At Magnite, we cultivate an environment of continuous growth and collaboration. Our work impacts what millions of people read, watch, and buy, and we’re looking for people to help us tackle that responsibility with creativity and focus. Magnite (NASDAQ: MGNI) is the world’s largest independent sell-side advertising platform. Publishers use our technology to monetize their content across all screens and formats including CTV / streaming, online video, display, and audio. Our tech fuels billions of transactions per day! About this team 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.

Requirements

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.

Nice To Haves

6+ years of experience in software engineering with a focus on distributed systems, feature development, and system modernization.
Hands-on experience with ECS, Kubernetes (EKS), Infrastructure as Code (e.g., Terraform), and advanced observability tools.
Knowledge of Real-Time Bidding (RTB), SSPs, DSPs, and ad delivery systems is a strong plus.
Familiarity with the challenges and solutions in the Ad Tech ecosystem, such as latency optimization and reporting pipelines.
Experience with Spring Boot, SonarQube, Terraform, or Kubernetes.
Strong knowledge of AWS infrastructure (ECS, EKS, Lambda, CloudWatch, S3).
Understanding of container orchestration using Kubernetes or EKS, ECS, etc.

Responsibilities

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.