Censys

Censys

Distributed Systems Engineer

Remote (US)

Sponsorship not specifiedDetected 43 days ago
Distributed SystemsObject-Oriented ProgrammingCassandraAWSAzuregRPCKafkaMachine LearningData EngineeringCybersecurityComplianceSystems EngineeringResearchCommunication

About the role

  • The listed range is a guideline, and the range for this role may be modified.
  • For roles that are available to be filled remotely, the pay range is localized according to employee work location by a factor of between 83% and 100% of range.

Responsibilities

  • 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.
  • 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.
  • 3+ years of software engineering experience building distributed systems (i.e. data ingestion pipelines, databases, services).
  • Experience building, deploying, or maintaining containerized services in Kubernetes.

Requirements

  • 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.
  • Familiarity with gRPC or REST.
  • Skills You Have:
  • Experience with object-oriented programming - we use Go.
  • Experience with at least one cloud provider, like: AWS, Azure, or GCP.

Skills

  • AWS Kinesis, Google Pub/Sub, Kafka, or other.
  • An understanding of how the Internet works; how machines and services communicate using defined protocols / standards.
  • Any Security Domain knowledge is a bonus

Compensation

  • For roles that are available to be filled remotely, the pay range is localized according to employee work location by a factor of between 83% and 100% of range.
  • For high cost of living areas (San Francisco Bay, New York City, and Seattle), the expected salary range for this position is $143,000 USD - $177,000 USD, plus bonus eligibility and equity.
  • For all other US locations, the expected salary range for this position is $125,000 USD - $165,000 USD, plus bonus eligibility and equity.

Benefits

  • Work with Machine Learning Engineers and Security Researchers to realize solutions that affect security outcomes.

Company info

  • Company Background
  • Censys' mission is to be the one place to understand everything on the internet.
  • Frustrated by the lack of trustworthy Internet intelligence, we set out to create the industry's most comprehensive, accurate, and up-to-date map of the Internet.
  • Today, Censys delivers real-time Internet intelligence and actionable threat insights to global governments, over 50% of the Fortune 500, and leading threat intelligence providers worldwide.
  • We are not currently engaging with third-party agencies for this role and will not accept unsolicited outreach.
  • We kindly ask that you do not submit resumes or candidate profiles to our team.
  • California Privacy Rights Notice
  • Pursuant to the California Consumer Privacy Act (CCPA), we are providing you with notice that we collect personal information from job applicants for business purposes, including evaluating your candidacy for employment, conducting interviews, and, if applicable, completing the hiring process.
  • The categories of information we may collect include identifiers (such as name and contact information), professional or employment-related information (such as work history, education, and references), and other information you provide in your application.
  • We do not sell or share your personal information.
  • Things that make you stand out:

This listing is sourced directly from Censys's careers page and normalized into a canonical job model.