Software Engineer, Data
Keycard Labs3 months ago
Remote, United States or Remote, CanadaStaff+
Responsibilities
- Design and build operational data systems, pipelines, storage layers, and APIs.
- Balance streaming and batch processing for enforcement, feedback loops, and customer insights.
- Support both transactional identity services and OLAP use cases for security-posture analysis.
- Integrate external data sources and enable policy evaluation.
- Surface insights through dashboards and APIs.
- Collaborate directly with founders, product, and engineers building core services and SDKs.
- Shape Keycard’s data architecture and contribute to technical excellence in a 0-to-1 environment.
Requirements
- Strong experience designing resilient data pipelines across streaming and batch paradigms.
- Ability to satisfy both transactional and analytical data requirements, including low-latency enforcement use cases.
- Fluency in Python, Go, and/or Rust, with experience using Kafka, Parquet, and Iceberg.
- Ability to design APIs, pipelines, and storage systems end to end.
- Experience building developer-facing APIs, SDKs, or tools is beneficial.
- Contributions to open-source data infrastructure projects such as Kafka, Flink, or Iceberg are beneficial.
- Experience with agent-oriented tools such as Claude Code, Cursor, or MCP is beneficial.
- Strong interest in the intersection of data, identity, and agents.
Benefits
- Health, dental, vision, and paramedical coverage for the employee and family.
- Four weeks of vacation, 11 statutory holidays, and one volunteer day annually.
- New MacBook Pro and a peripherals stipend.
- Remote-first work arrangement with asynchronous collaboration and hiring focused in North and South America.
- Generous equity package with a four-year vesting period and one-year cliff.
Tech Stack
Categories
BackendData Engineering
About Keycard Labs
Keycard is on a mission to redefine machine identity for the Internet—helping developers seamlessly connect people, agents, and services across networks, clouds, and applications. As AI-driven workflows grow more complex, Keycard’s dynamic, identity-based credentials ensure every agent and service operates with precise, contextual permissions. We’re building a global identity network backed by open protocols—empowering distributed systems to adapt, scale, and maintain cryptographically verifiable trust. By rethinking secret management from first principles, we aim to delight developers, meet the performance needs of platform engineers, and set a new standard for cloud-era security in an inclusive, collaborative environment.