Staff Scanning Engineer

🕒 Agosto 21

🇺🇸 Estados Unidos – Remoto (EUA)

💵 $172.000 - $216.000 / ano

⏰ Tempo Integral

🔴 Especialista

👷🏻‍♀️ Engenheiro

🦅 Patrocina Visto H1B

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👻 Score fantasma 11%

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🗣️🇺🇸🇬🇧 Inglês obrigatório

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Censys

51 - 200 funcionários

Fundada em 2017

🔒 Cibersegurança

🏢 Corporativo

Cybersecurity • Enterprise • Data

Censys é uma plataforma líder em Inteligência de Internet que se especializa em Hunting de Ameaças e Gestão de Superfície de Ataque. Ela fornece às equipes de segurança um mapa abrangente, preciso e atualizado da internet para defender contra ataques e caçar ameaças. Censys oferece soluções para Descoberta de Ativos na Nuvem, Gestão de Exposição e Risco, e Gestão de Superfície de Ataque Externo. Seu mapa de internet proprietário entrega insights detalhados e extensas capacidades de varredura da internet, permitindo que as organizações monitorem continuamente superfícies de ataque internas e externas. Fundada pelos criadores do ZMap na Universidade de Michigan, a Censys está profundamente enraizada na comunidade de código aberto de segurança e tem uma grande comunidade de inteligência de internet. Censys capacita organizações, incluindo aquelas em serviços financeiros, governo e saúde, a agir rapidamente contra ameaças em evolução e proteger seus ativos expostos à internet de forma eficaz.

Descrição

• Design, build, and operate Internet-scale scanning, DNS, crawling, attribution, and data collection systems • Own 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 supporting 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 tradeoffs around reliability, cost, scale, latency, data quality, and operational complexity • Participate in observability, incident response, and on-call rotation • Mentor engineers and review designs

🎯 Requisitos

• 10+ years of software engineering experience building production systems • Strong backend engineering experience with data ingestion pipelines, scanning systems, crawlers, schedulers, APIs, storage systems, or high-throughput services • Experience designing and operating systems handling large-scale data, high request volume, or Internet-scale workloads • Strong programming experience; primarily Go • Experience with AWS, GCP, or Azure • Experience with Google Pub/Sub, Kafka, Kinesis, or similar message queue or streaming technologies • Experience with Bigtable, Spanner, HBase, Cassandra, Postgres, or similar distributed databases or large-scale storage systems • Strong understanding of reliability, observability, testing, deployment, and operational ownership • Ability to write understandable, testable, maintainable code • Strong technical communication skills • Good judgment around use of AI-assisted development tools • Experience with scanners, crawlers, DNS infrastructure, passive/active measurement systems, or Internet data collection platforms • Deep understanding of DNS, including resolution, delegation, record types, nameservers, and operational edge cases • Knowledge of Internet protocols, service discovery, network measurement, protocol fingerprinting, or large-scale crawling • Experience with attribution systems, asset mapping, cloud asset discovery, or connecting Internet-facing services to organizations • Experience turning research prototypes into reliable production systems • Familiarity with gRPC, REST, Protobuf, MessagePack, or other API and serialization technologies • Experience with containerized services in Kubernetes • Experience with scan orchestration, scheduling, rate limiting, backpressure, retries, deduplication, or distributed task execution • Experience across research and engineering, especially in security, infrastructure, networking, or Internet measurement

🏖️ Benefícios

• Equity • Health, dental & vision coverage • Retirement with company contribution • Parental leave • Mental health & wellness benefits • Flexible PTO • Professional development stipend • Annual bonus plan for eligible non-sales roles • Reasonable accommodation for individuals with disabilities • In-person onboarding at HQ in Ann Arbor

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