Engineering Manager

About the company

Censys is an Internet intelligence company that maps global Internet infrastructure and provides solutions for attack surface management, threat hunting, and proactive incident response.

About this role

<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><strong>Location:</strong> United States- Remote&nbsp;</p> <h2><strong>Company Background</strong></h2> <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.&nbsp; 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> <h2><strong>Role Summary</strong></h2> <p>We’re looking for an <strong>Engineering Manager to lead the Data Collection team</strong>, which builds and operates the systems that discover, scan, and collect the Internet data powering the Censys Internet Map and our customer-facing products.</p> <p>The team includes <strong>various engineers</strong> working across high-performance network scanning, protocol implementation, scan orchestration, real-time data pipelines and platforms, observability, and production operations. Its work directly affects the coverage, freshness, accuracy, reliability, and cost efficiency of the data our customers rely on.</p> <p>This independent manager will own the team’s people leadership, technical roadmap, delivery, and operational health. You will partner with Product, Research, Security, Infrastructure, and other engineering teams to identify high-value investments and deliver them effectively. You should be technically credible and able to engage in architecture, design reviews, incidents, and engineering tradeoffs while enabling engineers.</p> <h2><strong>The Job Is a Good Fit If You</strong></h2> <ul> <li>Enjoy developing a multidisciplinary engineering team while balancing people leadership, technical strategy, delivery, and operations.</li> <li>Can set clear direction without needing to make every decision yourself.</li> <li>Coach through frequent feedback, meaningful delegation, and clear expectations.</li> <li>Use measurable outcomes such as coverage, freshness, accuracy, reliability, recovery time, and infrastructure efficiency to guide decisions.</li> <li>Are comfortable balancing speed, quality, cost, technical debt, operational risk, and customer impact.</li> <li>Believe engineering owns the full system lifecycle and works iteratively with Product and Research to solve ambiguous problems.</li> </ul> <h2><strong>What You’ll Do</strong></h2> <h3><strong>Lead and Develop the Team</strong></h3> <ul> <li>Lead, coach, and develop Scanner Engineers and Distributed Systems Engineers.</li> <li>Set clear expectations for ownership, quality, collaboration, delivery, and operational responsibility.</li> <li>Provide timely feedback, create meaningful growth plans, and delegate ownership of systems, projects, and decisions.</li> <li>Build a healthy, accountable team; identify staffing needs; and maintain a high bar for hiring, onboarding, and performance management.</li> </ul> <h3><strong>Own the Roadmap and Delivery</strong></h3> <ul> <li>Define the Data Collection roadmap with Product, Research, Infrastructure, and engineering stakeholders.</li> <li>Connect priorities to measurable improvements in data coverage, freshness, fidelity, reliability, scalability, and cost.</li> <li>Keep the team focused on the highest-value work while managing scope, dependencies, staffing, and risk.</li> <li>Lead major initiatives from discovery through production delivery, clearly communicating timelines, tradeoffs, and risks.</li> <li>Translate research and exploratory work into maintainable production capabilities when appropriate.</li> </ul> <h3><strong>Provide Technical and Operational Leadership</strong></h3> <ul> <li>Guide architecture across Internet scanning, orchestration, protocol implementations, distributed services, ingestion pipelines, APIs, and operational tooling.</li> <li>Establish standards for design, testing, rollout safety, observability, service ownership, and operational readiness.</li> <li>Be accountable for the quality, availability, maintainability, and cost efficiency of the team’s systems.</li> <li>Define and use metrics for scan execution, pipeline health, data freshness, protocol coverage, failure rates, and resource consumption.</li> <li>Support sustainable on-call and incident-management practices, ensuring follow-up addresses systemic causes.</li> <li>Identify architectural bottlenecks and strategic technical debt, evaluate the cost and benefit of addressing them, and recommend priorities.</li> </ul> <h2><strong>What You’ll Bring</strong></h2> <ul> <li>Engineering management or team leadership experience (three years)</li> <li>A track record of leading a substantial technical initiative from planning through production delivery.</li> <li>Prior experience as a software or systems engineer building and operating production systems.</li> <li>Strong knowledge of distributed systems and networking fundamentals, including TCP/IP, DNS, HTTP, and TLS.</li> <li>Experience with data-intensive systems such as streaming services, ingestion pipelines, message queues, databases, schedulers, or high-throughput APIs.</li> <li>Expe