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About the Role We are building a high-scale data platform that powers real-time systems, APIs, and product features across the business. This team owns the ingestion, processing, and serving of large-scale telemetry and event data. This is a high-bar role focused on backend engineering and distributed systems. It is best suited for engineers who have built and operated real-time, data-intensive systems powering production applications. Responsibilities • Design and build scalable backend services and APIs for production applications • Develop and optimize data ingestion systems (real-time and batch) from external sources and devices • Work with event-driven and streaming architectures to process high-volume data • Build systems that transform raw data into application-ready datasets • Own services end-to-end, including performance, scalability, and reliability Candidate Expectations We are looking for engineers who have built and operated high-scale backend systems in production environments. Strong candidates will have: • Experience building distributed systems processing large volumes of data • Experience designing and owning APIs used in production applications • Hands-on work with real-time or near real-time data systems • A strong foundation in backend engineering with clear ownership of services Qualifications • 5–10+ years of experience as a software or backend engineer • Strong programming skills in Java, Python, or Node.js • Experience with distributed systems and backend service architecture • Experience with data ingestion, streaming, or data platform development • Experience working in cloud environments such as GCP or AWS Preferred Qualifications • Experience with Kafka, Pub/Sub, Kinesis, or similar streaming technologies • Experience with BigQuery, Snowflake, or similar data systems • Experience working with telemetry, IoT, or event-driven architectures • Background at companies operating high-scale, real-time systems Technical Environment • Languages: Java, Python, Node.js • Streaming: Kafka, Pub/Sub, Kinesis • Cloud: GCP (preferred) or AWS • Data: BigQuery, Snowflake • Infrastructure: Kubernetes, Docker This Role Is Not • Focused on dashboards, reporting, or BI tools • A traditional data engineering role centered on ETL pipelines only • A frontend or full-stack position Ideal Candidate Profile A backend engineer who has: • Built real-time systems and APIs at scale • Worked on data ingestion or event-driven systems • Owned production services used by customers or critical business workflows Benefits: • 401(k) • Dental insurance • Employee assistance program • Health insurance • Life insurance • Paid time off • Retirement plan Application Question(s): • Please add LinkedIn Profile: Education: • Bachelor's (Required) Location: • United States (Required) Work Location: Remote