Senior Site Reliability Engineer, AWS/Datacenter

This role focuses on reliability, incident response, and scaling for Medal's infrastructure, which handles billions of clips and video ingestion pipelines. The engineer will own the on-call rotation, drive postmortems, and work with engineering teams to meet infrastructure needs, requiring strong Terraform fluency, Elasticsearch depth, and GCP expertise. The role also involves scaling and sharding relational databases in production.

This role is for a Senior Site Reliability Engineer responsible for ensuring the reliability, scalability, and performance of production systems. The engineer will implement automation, monitor system health, and respond to incidents to maintain high availability.

Builds self-service systems and custom Kubernetes operators to automate deployment and operation of language model services. Ensures SLOs are met through observability automation and resilience practices, with on-call rotation participation. Requires 5+ years running large-scale production infrastructure with Kubernetes and GPU workloads across multi-cloud environments.

This Staff Site Reliability Engineer role focuses on ensuring the reliability, scalability, and performance of Coupang's infrastructure. The engineer will design and implement automation, manage incident response, and drive improvements in system resilience.

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.