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Censys

Staff Scanning Engineer

Remote (US); RemoteRemote · United States
Staff · Engineering
POSTED 20 AUGVERIFIED 27M AGO
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Pay · market
$185k–$255k
p25–p75 · n=1913
Open for
75d
since 20 Aug
Hiring · 30d
26
+2 net · open roles
KafkaAWSGCPAzureDistributed systems

Join the team turning internet intelligence into real-world security outcomes. Built on the world’s most comprehensive and accurate map of the Internet, the Censys Platform delivers real-time visibility and actionable intelligence needed to accelerate triage, investigate threats, hunt adversaries, and manage Internet exposure. We're trusted by half of the Fortune 500 and government agencies all around the world, and looking for people as passionate about the problems we're solving as we are.

Censys is building the most credible, robust map of the Internet through IP scanning, DNS lookups, web crawling, and the ingestion of millions of certificates. Censys was founded by security researchers who are passionate about developing technology that provides anyone the power to fully understand their digital risk and exposure. Individuals and enterprises–and anyone in between–can harness this power to discover new information and insight as the Internet, IoT and Cloud evolve. We are a true security startup with midwestern roots and we believe that a map of the Internet, or a map of your organization’s assets can quickly help guide organizations to the answers they need to protect themselves from vulnerability and risk.

Location: This position is remote within the United States.

Role Summary

We’re looking for a Staff Software Developer to help design, build, and operate the systems that power Censys’ Internet-wide scanning, DNS resolution, attribution, and data pipelines.

This role sits at the intersection of backend engineering, distributed systems, and applied Internet research. You will work on production systems that discover, collect, validate, and enrich Internet-scale data across IPs, domains, certificates, services, and cloud infrastructure. You will help improve the accuracy, coverage, freshness, and reliability of the Internet Map that powers Censys’ products and research.

At Censys, we work iteratively, but we are always thinking about the big picture. We’re expanding our scanning and data platform to make the Internet more explainable: richer context, better attribution, clearer relationships, and higher-confidence signals. We’re looking for someone with deep technical ownership, strong production engineering instincts, curiosity about how the Internet works, and the ability to mentor others while building reliable systems.

What You’ll Do

  • Design, build, and operate Internet-scale scanning, DNS, crawling, attribution, and data collection systems.
  • Own production backend services and pipelines that collect, process, validate, and enrich massive Internet datasets.
  • Improve the quality, freshness, reliability, and coverage of Censys’ Internet Map.
  • Build systems that support IP scanning, DNS lookups, protocol fingerprinting, asset attribution, and large-scale data ingestion.
  • Lead technical design for distributed services, streaming pipelines, storage systems, caching layers, scheduling systems, and scan orchestration infrastructure.
  • Partner with Research, Product, Security, and Engineering teams to turn research ideas into safe, scalable, production-ready systems.
  • Make thoughtful tradeoffs around reliability, cost, scale, latency, data quality, and operational complexity.
  • Participate in operational ownership of the systems you build, including observability, incident response, and on-call rotation.
  • Mentor engineers, review designs, and help raise the technical bar for backend and scanning infrastructure.

Skills You Have

  • 10+ years of software engineering experience building production systems.
  • Strong backend engineering experience in systems such as data ingestion pipelines, scanning systems, crawlers, schedulers, APIs, storage systems, or high-throughput services.
  • Experience designing and operating systems that handle large-scale data, high request volume, or Internet-scale workloads.
  • Strong programming experience; we primarily use Go.
  • Experience with cloud infrastructure such as AWS, GCP, or Azure.
  • Experience with message queues or streaming systems such as Google Pub/Sub, Kafka, Kinesis, or similar technologies.
Source · CensysFirst seen 3 Nov1 editsOriginal ↗