Censys

Software Engineer (Backend, Distributed Systems)

Rol remoto de Backend Engineering con fit claro de ubicación del candidato.

Publicado18 jul 2026

Países elegibles1 país aceptado

Señal de seniorityMiddle

Modelo de trabajoRemoto

Ubicaciones aceptadas para candidatos

Estados Unidos

Resumen del rol

Contenido del rol extraído en secciones para revisar más rápido.

Help build large scale, real-time services and applications which leverage our massive datasets to power internal APIs and external applications.
Build tooling, libraries, frameworks, and services that support security, research and data platform initiatives.
Productionize prototypes into reliable internal tools, services, or platform capabilities.
Participate in planning and technical discussions with engineering and product teams to help build the right solutions.
Develop and maintain systems such as data pipelines, messaging systems, databases, caching layers, and services that run in the cloud or on-prem.
Work with Machine Learning Engineers and Security Researchers to realize solutions that affect security outcomes.

3+ years of software engineering experience building distributed systems (i.e. data ingestion pipelines, databases, services).
Experience with object-oriented programming - we use Go.
Experience with at least one cloud provider, like: AWS, Azure, or GCP.
Experience or familiarity with message queue technologies, like: AWS Kinesis , Google Pub/Sub, Kafka, or other.
Experience working with databases, like: BigTable, Cloud Spanner, HBase, Cassandra, or other.
Understanding of core distributed systems concepts such as scalability, fault tolerance, and reliability.
Familiarity with using AI.
Ability to write understandable, testable code with an eye towards maintainability.
Strong communication skills and the ability to work effectively with other engineers and product managers.
Open to using AI to amplify their skills and strengthen their work - demonstrating curiosity, a willingness to learn, and sound judgment in applying AI responsibly to improve efficiency and impact.

Familiarity with gRPC or REST.
Familiarity with data serialization technologies, like: Protobuf, MessagePack, etc.
Experience building, deploying, or maintaining containerized services in Kubernetes.
An understanding of how the Internet works; how machines and services communicate using defined protocols / standards.
Any Security Domain knowledge is a bonus

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