Engineer II, Backend APIs

Magnite•Los Angeles, CA

68d•$125,000 - $135,000•Hybrid

About The Position

Magnite's Reporting & Insights team powers our flagship analytics product for SpringServe platform and is building the next‑generation Unified Reporting API. We’re adding an engineer to accelerate a high‑impact roadmap, elevate API developer experience, and partner closely with our UI and Data teams to ship features that our publishers and DSPs rely on to understand and optimize campaign performance.

Requirements

3+ years of software engineering experience.
Primary development experience in modern (latest JVM version) Java for high-throughput, low-latency back-end web services.
Hands-on experience with Postgres (or other RDBMS): modeling, migrations, indexing, and query optimization.
Proficiency with Git/GitHub and modern team practices (reviews, trunk/branch strategies, code ownership).
Clear, empathetic communication and a collaborative mindset.

Nice To Haves

Exposure to cloud providers (AWS, GCP, or Azure) and container orchestration (Docker/Kubernetes).
Experience with asynchronous programming patterns, high levels of concurrency, and with frameworks such as Vert.x and Dropwizard is highly desirable.
Experience with event‑driven or streaming architectures.
Understanding of authN/Z patterns (OAuth2/JWT), rate limiting, and API security.
Observability tools and practices (metrics, tracing, logs) and load/perf testing.
Knowledge of Real-Time Bidding (RTB), SSPs, DSPs, and ad delivery systems is a strong plus.

Responsibilities

Participate in the design, development, testing, release of API’s that power reporting and analytics applications.
Collaborate daily with Product, UI, and Data engineers to take features from requirements and delivery.
Design and build APIs that are intuitive and easy to consume: clear contracts (OpenAPI), well-documented, versioning strategies, pagination, filtering, batching, and strong SLAs/SLOs.
Champion code quality: well‑tested, observable, maintainable code; thoughtful reviews; design docs; and pragmatic documentation.
Own services in production: dashboards, alerting, capacity and load testing, cost‑aware design, and reliability improvements.
Leverage AI-assisted tools in your development process