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Jobs(38,923)/Software Engineer Role(2,568)/keycard-labs (3) - Software Engineer, Data
keycard-labs

keycard-labs - Software Engineer, Data

Remote - Canada, United States+ Equity1mo ago
RemoteJuniorNASoftware EngineerData EngineerRustPythonKafkaGoClaude

Requirements

• You have strong experience designing resilient pipelines that balance streaming and batch paradigms. You know when to use streaming for low-latency enforcement and when batch provides clarity and power, and you've built systems that satisfy both transactional and analytical requirements. • You're a programmer at heart — fluent in Python, Go, and/or Rust, with experience building with Kafka, Parquet, and Iceberg. You think like a builder, not an operator, and you're excited to design APIs, pipelines, and storage systems end to end. • You thrive in 0→1 environments. You make hard trade-offs to deliver today while laying groundwork for the long-term system, and you use iteration to accelerate the learning loop. • You lead by example — raising the bar for technical excellence while helping those around you grow. You communicate clearly through written plans and async updates, and know when to jump on a call. • STRONG CANDIDATES MAY ALSO HAVE • Experience designing and shipping developer-facing APIs, SDKs, or tools that expose data systems in ergonomic and powerful ways. • Contributions to open source data infrastructure projects (Kafka, Flink, Iceberg) or experience building libraries used by other developers. • Active experimentation with agents in your own workflows (Claude Code, Cursor, MCP) and opinions on how to make data systems agent-friendly. • Strong opinions about the intersection of data, identity, and agents — and excitement about shaping that future at Keycard.

Benefits

• Keycard is building the fundamental unlock for the next generation of software: enabling truly secure and trusted agentic applications. Under the hood, we’re building a new identity and access control stack to take us from a world of static, user-focused, long-lived roles and credentialing to one of mixed machine & human interaction that is dynamic, contextually-scoped, and short-lived.

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