About The Role The Ads Delivery team at AdRise builds the systems that turn advertiser budgets into effective, well‑paced ad outcomes. As a Staff Backend Engineer, you will design and operate distributed backend services that determine when, where, and how ads are delivered across partner applications.You will work closely with Machine Learning, Data Science, and Ad Serving teams to implement and evolve algorithms for pacing, planning, and optimization, while continuously improving the scalability, reliability, and efficiency of our ad delivery platform. This is a highly impactful role with broad technical ownership and influence across the Ads ecosystem.Snapshot of Your ResponsibilitiesArchitect, design, and evolve large‑scale, high‑throughput, low‑latency distributed systems that power ad delivery and pacing, primarily using ScalaSet technical direction for critical Ad Delivery services, balancing long‑term scalability with immediate business needsLead API and service development with a strong focus on correctness, observability, and operational excellenceDrive cross‑functional initiatives with ML, Data Science, and Ad Serving teams to improve pacing, planning, and optimization systemsIdentify architectural bottlenecks and lead efforts to simplify, modernize, and scale systems as demand growsRaise engineering standards through design reviews, code reviews, and mentorship of senior and mid‑level engineersPrototype and validate new approaches, bringing successful innovations into production at scaleOwn production health by driving incident prevention, monitoring, and continuous improvement across the Ads Delivery stackWhat You Will NeedExtensive experience designing and building scalable distributed systems using JVM languages (Scala preferred; Java or Kotlin acceptable)Deep expertise with relational databases (e.g., Postgres), caching systems (e.g., Redis), and messaging/streaming platforms (e.g., Kafka or Kinesis)Strong hands‑on experience with Akka technologies, including clustering and distributed coordination in productionProven ability to build and operate near real‑time, high‑performance, fault‑tolerant servicesExperience working with big data or streaming frameworks such as Apache Spark or FlinkDemonstrated technical leadership, including driving architecture decisions and influencing cross‑team systemsStrong ownership mindset with a pragmatic approach to delivering high‑quality, scalable solutionsNICE TO HAVE, BUT NOT A DEALBREAKERExperience operating large‑scale distributed systems using Kubernetes, Terraform, and related infrastructure toolingExperience in ad tech, including ad serving, targeting, delivery, or measurement systemsPursuant to local pay disclosure requirements, the pay range for this role, with final offer amount dependent on education, skills, experience, and location is as listed annually below. This role is also eligible for an annual discretionary bonus, long‑term incentive plan, and various benefits including medical/dental/vision, insurance, vacation/paid time off and other benefits in accordance with applicable plan documents. Toronto, Canada $250,000.00 - $300,000.00Equal Opportunity Employment We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, gender identity, disability, protected veteran status, or any other characteristic protected by law. We will consider for employment qualified applicants with criminal histories consistent with applicable law.#J-18808-Ljbffr