Censys
Censys
Censys is a cybersecurity and internet intelligence company focused on helping organizations understand and protect their internet-facing assets. Its platform supports threat hunting, cloud asset discovery, exposure and risk management, and external attack surface management by combining broad internet scanning with an up-to-date view of connected systems. Built by the creators of ZMap at the University of Michigan, Censys has strong ties to the open source security community and serves teams across financial services, government, healthcare, and other enterprise environments.

Distributed Systems Engineer, Data Platform (Remote, United States)

Join Censys to build scalable data services that map the Internet and support threat intelligence. This role spans real-time pipelines, databases, APIs, messaging systems, and cloud infrastructure.

Description

  • Create large-scale, real-time services and applications powered by massive datasets for internal APIs and external products.
  • Develop tooling, libraries, frameworks, and services for security, research, and data platform programs.
  • Turn prototypes into dependable internal tools, services, and platform capabilities.
  • Contribute to planning and technical discussions across engineering and product teams.
  • Build and operate data pipelines, messaging systems, databases, caching layers, and cloud or on-premises services.
  • Partner with Machine Learning Engineers and Security Researchers on solutions that influence security outcomes.
  • Deliver highly available, scalable data services for Censys’s Internet Map Connections team.
  • Identify ownership of Internet assets and establish relationships between them.

Requirements

  • At least five years of software engineering experience building distributed systems.
  • Experience with object-oriented programming; Censys uses Go.
  • Experience with a cloud provider such as AWS, Azure, or Google Cloud Platform.
  • Experience with or familiarity with message queues such as AWS Kinesis, Google Pub/Sub, or Kafka.
  • Experience working with databases such as Bigtable, Cloud Spanner, HBase, or Cassandra.
  • Understanding of scalability, fault tolerance, and service reliability.
  • Familiarity with AI tools and technologies.
  • Ability to write clear, testable, maintainable code.
  • Strong communication skills and effective collaboration with engineers and product managers.
  • Willingness to use AI responsibly to improve efficiency and impact.
  • Familiarity with gRPC or REST is a plus.
  • Familiarity with data serialization technologies such as Protobuf or MessagePack is a plus.
  • Experience running containerized services in Kubernetes is a plus.
  • Understanding of Internet architecture and how machines and services communicate through protocols and standards is a plus.
  • Security domain knowledge is a bonus.

Benefits

  • Equity compensation.
  • Health, dental, and vision coverage.
  • Retirement plan with a company contribution.
  • Parental leave.
  • Mental health and wellness benefits.
  • Flexible paid time off.
  • Professional development stipend.
  • Annual bonus plan for eligible non-sales roles.
  • Reasonable accommodation for individuals with disabilities.
  • In-person onboarding at Censys headquarters in Ann Arbor.

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