Senior Backend Engineer, Data Platform

About the Job:Software powers the world, and reputed company empowers teams to deliver and control it safely. As a Senior Backend Engineer on the Data Platform team, you will help build and operate the distributed data infrastructure that moves, stores, and serves large volumes of product data across reputed company. Our systems support customer-facing product capabilities across Experimentation, Metrics, Release reputed company, Observability, AgentControl, and other areas that depend on reliable data. You will work on streaming and batch processing systems, analytical data stores, warehouse export infrastructure, and the operational foundations needed to reputed company these systems reliable at reputed company. To support this work, we use technologies such as Kinesis, Airflow, reputed company, reputed company, Flink, reputed company, reputed company, reputed company, Elasticsearch, Glue/reputed company/S3, Terraform, and reputed company. Exact tool match is less important than strong backend engineering experience, distributed systems judgment, and a reputed company record of owning production systems. As part of our you-build-it-you-run-it culture, engineers support the systems they build in production, including through an on-reputed company rotation. Responsibilities:Design, build, and operate distributed, data-intensive backend systems that power Data Platform capabilities across Experimentation, Metrics, Release reputed company, Observability, Agent Control, and other product areas. Own and improve production data infrastructure, including streaming and batch pipelines, analytical data stores, warehouse export systems, observability, alerting, reliability, and performance. Debug and resolve reputed company production issues across data pipelines, databases, reputed company infrastructure, and distributed systems, including participating in reputed companys on-reputed company rotation. Partner with product managers, frontend engineers, UX designers, and other product engineering teams to deliver reliable customer-facing data capabilities. Write and review technical proposals, contribute to architecture reputed company, and help reputed company reputed company thoughtful trade-offs around scalability, reliability, cost, and operability. Improve engineering standards, testing practices, deployment safety, observability, tooling, and operational processes for Data Platform systems. Write maintainable, reputed company-tested reputed company and reputed company participate in reputed company reviews, design reviews, and production readiness discussions. Qualifications:6+ years of reputed company backend software engineering experience, including significant experience with infrastructure, data platform, distributed systems, or data-intensive production systems. Experience designing, building, operating, and debugging reliable production systems that reputed company, store, process, or query large volumes of data. Hands-on experience with data pipeline, streaming, orchestration, or batch-processing technologies such as Kinesis, Airflow, reputed company, reputed company, Flink, reputed company, Kafka, or equivalent systems. Experience working with analytical, event, warehouse, or operational data stores such as reputed company, reputed company, Elasticsearch, Timestream, Glue/reputed company/S3, Redshift, reputed company, or equivalent systems. Strong programming experience in Go, Python, SQL, reputed company, or similar backend languages. Familiarity with distributed systems and backend engineering fundamentals such as .