Senior Software Engineer, Backend

This senior backend engineering role within Reddit's Ads organization works across teams focused on ad safety, creative management, and brand innovation. The engineer will build microservices, distributed systems, and real-time data infrastructure for the advertising platform, collaborating with product managers and data teams. Requires 3+ years of software development experience in languages like Java, Scala, Go, C++, or Python, with ownership of features or projects.

Develop and maintain backend systems for Clinch's AI-driven advertising platform, ensuring scalability and performance. Work with modern technologies in a collaborative R&D environment.

This Senior Software Engineer role on the Agentic Ads Experience team designs and ships AI-powered advertiser-facing features like campaign assistants, creative generation, and conversational analytics. The engineer owns features end-to-end, making architectural decisions on LLM usage, building reliable systems with guardrails, and defining evals. Requires 5+ years of software engineering experience and hands-on generative AI application development.

This senior software engineering role involves designing, developing, and maintaining scalable backend systems and services that power Criteo's advertising platform. The engineer will work on high-throughput, low-latency systems, collaborating with cross-functional teams to deliver robust solutions. Strong experience in distributed systems, cloud infrastructure, and modern programming languages is expected.

This role supports campaign execution and client relationships for Cognitiv's deep learning advertising platform. Responsibilities include campaign setup, monitoring pacing and performance via dashboards, maintaining accurate records in Adbook, and addressing client needs. Requires 1 year of experience in sales planning, client services, programmatic trading, or ad operations, with strong attention to detail and analytical skills.

This senior individual-contributor role focuses on architecting and maintaining high-performance feature pipelines (batch, streaming, point-in-time correct) for Cognitiv's real-time bidding systems. The engineer will own model training pipeline optimization, integrate LLM/deep learning embeddings into the feature store, and establish technical standards for monitoring and CI/CD. Requires 3-5+ years of ML infrastructure experience, proficiency in Python/Java/Scala, and deep expertise in AdTech and big data technologies like Spark, Flink, and Kafka.

This role leads the product strategy and roadmap for Cognitiv's Custom Algorithms product, which uses deep learning to optimize advertising campaigns. The Product Manager will partner with Data Science and Engineering to define model goals, quality bars, and scalable delivery processes, while also driving adoption with Sales and Customer Success. The ideal candidate has 5+ years of product management experience with ML products, strong analytical skills, and the ability to translate model behavior into commercial language for advertisers.