Software Engineer, Infrastructure (2-8 YOE)

Job Description

Airtable is the no-code app platform that empowers people closest to the work to accelerate their most critical business processes. More than 500,000 organizations, including 80% of the Fortune 100, rely on Airtable to transform how work gets done. Airtable’s infrastructure is evolving to meet the needs of our fast growing engineering org. We are looking for backend engineers to join our team to help improve critical product infrastructure, with a focus on building systems that have a great developer experience and will scale as we grow. We currently have openings on: Base Infrastructure: The Base Infrastructure team owns the system that powers the core of Airtable’s product--serving Airtable bases. We are investing in the foundations of our homegrown in-memory database. Key projects include building replication to support zero downtime failovers, optimizing performance and memory usage, and vertical scaling. Compute: The compute pod builds and manages our Kubernetes-based platform that supports every service at Airtable, including all new AI services such as vector databases, AI evals store, and document extraction and understanding services. We have a lot of exciting foundational work in our roadmap, such as Overhauling our network stack and service discovery, to simplify service setup and strengthen security Region level disaster recovery, and bringing up compute platform from 0->1 in a new region Building custom Kubernetes operators for reliably managing some of our most critical workloads Data Infrastructure: The Data Infrastructure team’s mission is to enable data-driven decision making at Airtable by providing reliable, self-service, high-performance analytics infrastructure. We use technologies like Apache Spark, Kafka, and Apache Flink to process vast quantities of data in our data warehouse. This infrastructure is used by Airtable’s data engineers and analysts, as well as product developers building features powered by business data. The team is focused on scaling to petabyte volume, enabling sub-second streaming, tightening data governance, and delivering cost efficient ML-ready datasets to power Airtable’s native AI products with fresh, high quality signals. Developer Platform : The Developer Platform team sits at the intersection of all engineering at Airtable, focusing on building the internal tooling, frameworks, and CI/

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