Censys
Staff Backend Engineer, Exposure Management- Go
Remote (US/Canada) · Staff+
Sponsorship not specifiedDetected 6 days ago
GoDistributed SystemsBackend DevelopmentGCPKubernetesRESTgRPCLLMsCybersecurityComplianceSupply ChainDNSLeadershipCommunicationProblem SolvingMentoring
About the role
- What You'll Bring - A positive attitude biased towards action and iterative problem solving, even in legacy code where the answer isn't obvious - A deep understanding of how the Internet works.
Responsibilities
- Serve as the Tech Lead for the Exposure Management team, driving technical direction across services and strengthening architecture and system design practices, with the ultimate goal of helping our customer reduce their attack surface exposures.
- Own the migration plan and execution to bring legacy ASM functionality onto the new Exposure Management platform, balancing customer commitments on the legacy product with the long-term migration roadmap.
- Drive technical alignment across shared systems, improving coordination, scalability, and engineering effectiveness.
- Strong distributed systems background, including the ability to build horizontally scalable systems with high availability and fault-tolerance
- Strong communication and technical design skills, including the ability to clearly document architectures, identify systemic gaps, and drive solutions from concept through implementation.
- Familiarity with microservice-based designs using GCP PubSub or similar event-driven architectures
- You understand the value of building maintainable software.
- You enjoy a good abstraction, and promote established design patterns, but also know when to think outside the box
Requirements
- This work requires deep technical ownership, the ability to bridge legacy and new systems, and the judgment to balance ongoing customer commitments with long-term migration.
- 10+ years of experience in software engineering
- 5+ years of experience with Go
- Experience with service-oriented architectures and the operational stack to support them (gRPC/REST, microservices, GCP, Kubernetes)
Compensation
- For high cost of living areas (San Francisco Bay, New York City, and Seattle), the expected salary range for this position is $198,000 USD - $233,000 USD, plus bonus eligibility and equity.
- For all other US locations, the expected salary range for this position is $172,000 USD - $216,000 USD, plus bonus eligibility and equity.
- 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.
- Censys also offers sales incentive pay for most sales roles and an annual bonus plan for eligible non-sales roles.
Benefits
- Some of your first tasks when building a new service are ensuring test coverage enforced by CI, adding linters, and adding code complexity checks.
- Censys's compensation and benefits are subject to change and may be modified in the future.
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.
This listing is sourced directly from Censys's careers page and normalized into a canonical job model.