Staff Scanning Engineer
at Censys · 101-250 employees
Series D · $70M · Mar 2026
- Seniority
- Staff Principal
- Work model
- Remote
- Location
- Remote (US)
- Posted
- 5d ago
gorestgrpcpostgrescassandrakafkaawsgcpazurekubernetes
at Censys · 101-250 employees
Censys is an Internet intelligence company that maps global Internet infrastructure and provides solutions for attack surface management, threat hunting, and proactive incident response.
<div class="content-intro"><h3>Company Background</h3> <p>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.</p></div><p>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.</p> <p><strong>Location</strong>: This position is <strong>remote</strong> within the United States.</p> <p><strong>Role Summary: </strong></p> <p>We’re looking for a <strong>Staff Software Developer </strong>to help design, build, and operate the systems that power Censys’ Internet-wide scanning, DNS resolution, attribution, and data pipelines.</p> <p>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.</p> <p>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.</p> <p><strong>What You’ll Do:</strong></p> <ul> <li>Design, build, and operate Internet-scale scanning, DNS, crawling, attribution, and data collection systems.</li> <li>Own production backend services and pipelines that collect, process, validate, and enrich massive Internet datasets.</li> <li>Improve the quality, freshness, reliability, and coverage of Censys’ Internet Map.</li> <li>Build systems that support IP scanning, DNS lookups, protocol fingerprinting, asset attribution, and large-scale data ingestion.</li> <li>Lead technical design for distributed services, streaming pipelines, storage systems, caching layers, scheduling systems, and scan orchestration infrastructure.</li> <li>Partner with Research, Product, Security, and Engineering teams to turn research ideas into safe, scalable, production-ready systems.</li> <li>Make thoughtful tradeoffs around reliability, cost, scale, latency, data quality, and operational complexity.</li> <li>Participate in operational ownership of the systems you build, including observability, incident response, and on-call rotation.</li> <li>Mentor engineers, review designs, and help raise the technical bar for backend and scanning infrastructure.</li> </ul> <p><strong>Skills You Have:</strong></p> <ul> <li>10+ years of software engineering experience building production systems.</li> <li>Strong backend engineering experience in systems such as data ingestion pipelines, scanning systems, crawlers, schedulers, APIs, storage systems, or high-throughput services.</li> <li>Experience designing and operating systems that handle large-scale data, high request volume, or Internet-scale workloads.</li> <li>Strong programming experience; we primarily use Go.</li> <li>Experience with cloud infrastructure such as AWS, GCP, or Azure.</li> <li>Experience with message queues or streaming systems such as Google Pub/Sub, Kafka, Kinesis, or similar technologies.</li> <li>Experience with distributed databases or large-scale storage systems such as Bigtable, Spanner, HBase, Cassandra, Postgres, or similar.</li> <li>Strong understanding of reliability, observability, testing, deployment, and operational ownership.</li> <li>Ability to write understandable, testable, maintainable code.</li> <li>Strong technical communication skills, with the ability to explain complex systems to engineers, product managers, researchers, and leadership.</li> <li>Good judgment around when and how to use AI-assisted development tools.</li> </ul> <p><strong>Things that make you stand out:</strong></p> <ul> <li>Experience building or operating scanners, crawlers, DNS infrastructure, passive/active measurement systems, or Internet data collection platforms.</li> <li>Deep understanding of DNS and how it is used in practice, including resolution, delegation, record types, nameservers, and operational edge cases.</li> <li>Knowledge of Internet protocols, service discovery, network measurement, protocol fingerprinting, or large-scale crawling.</li> <li>Experience with attribution systems, asset mapping, cloud asset discovery, or connecting Internet-facing services back to organizations.</li> <li>Experience turning research prototypes into reliable, maintainable production systems.</li> <li>Familiarity with gRPC, REST, Protobuf, MessagePack, or other API and serialization technologies.</li> <li>Experience building, deploying, and maintaining containerized services in Kubernetes.</li> <li>Experience with scan orchestration, scheduling, rate limiting, back