[Remote] Data & Storage Systems Engineer ($200K–$270K + competitive equity) AI-Native CRM Data Platform

Note: The job is a remote job and is open to candidates in USA. CoffeeSpace is a Sequoia-backed Series A AI startup focused on building an AI-native CRM. They are looking for a Data & Storage Systems Engineer to own core parts of their data platform, focusing on ingestion, storage, and serving systems, while also ensuring a better customer experience through architectural decisions.ResponsibilitiesOwn meaningful parts of the data platform end to end across ingestion, storage, and serving systemsEvolve core transactional and OLTP storage systems to support significantly higher throughput, stronger reliability, and more flexible data access patternsBuild and operate distributed app-storage and serving systems using technologies such as TypeScript, Node.js, Kotlin, Rust, Aurora Postgres, FoundationDB, Cassandra, Vitess, DynamoDB-style systems, and related infrastructureDesign high-leverage platform APIs and SDKs that pull common data access patterns out of application code and accelerate the rest of the engineering teamBuild stream processing pipelines for new data sources and support Kafka-based systems where they connect to core storage and serving needsImprove operational excellence by removing failure modes, investing in deployment automation, supporting zero-downtime migrations, and making pager ownership uneventful without a dedicated SRE teamHelp expand the platform to support new customer segments and use cases, including finer-grained permissions, new data types, new ingestion sources, and more advanced indexing and retrieval patternsUse AI tools as part of your engineering workflow, delegating implementation details where useful so you can spend more energy on architecture, design, and creative problem-solvingSkills4+ years of backend or distributed systems engineering experience, with hands-on ownership of data-intensive systems at meaningful scaleBuilt and operated transactional/OLTP app-storage or serving systems in production, using technologies such as DynamoDB, Aurora, Vitess, FoundationDB, Cassandra, or similar systemsStrong in at least one backend language such as TypeScript/Node.js, Kotlin, Java, or RustExperience with infrastructure-as-code and container orchestration, such as Terraform, Kubernetes, ECS, Docker, Pulumi, or similar toolsHas worked in data-intensive environments with high throughput, reliability requirements, or complex migration challengesProduct- and customer-oriented, with the ability to frame infrastructure decisions around business outcomes and user experience, not just technical purityComfortable in a small, flat, high-ownership engineering team where there is no dedicated layer of process between you and the problemIdeally has startup experience during a hyper-growth phase, especially Series A through Series CBonus points for exposure to OLAP, warehouse, search, or streaming systems such as Kafka, ClickHouse, Elasticsearch, Apache Iceberg, turbopuffer, or similar technologiesBenefitsCompetitive equity package with cash/equity tradeoff optionsRemote-first, US-based | Hubs in Boston, San Francisco, and Denver | Quarterly Boston team meetupsUnmeasured time offA parent-friendly culture that values kindness alongside ambitionCompany OverviewA Tinder/Hinge-like platform for finding your cofounder and meeting others exploring startup and business ideas It was founded in 2023, and is headquartered in San Francisco, California, USA, with a workforce of 11-50 employees. Its website is http://coffeespace.com.