Engineering Manager, Data Collection & Scanning
New
C
CensysCybersecurity, Internet intelligence
For this role, we are open to remote employees across the continental US.Full-TimeManager
SalaryFor all other locations, the expected salary range for this position is $151,000 USD - $191,000 USD, plus bonus eligibility and equity.
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Job Details
- Experience
- Engineering management or team leadership experience (three years)
- Required Skills
- Distributed SystemsNetworking
Requirements
- Have three years of engineering management or team leadership experience.
- Have led a substantial technical initiative from planning through production delivery.
- Have prior experience as a software or systems engineer building and operating production systems.
- Have strong knowledge of distributed systems and networking fundamentals, including TCP/IP, DNS, HTTP, and TLS.
- Have experience with data-intensive systems such as streaming services, ingestion pipelines, message queues, databases, schedulers, or high-throughput APIs.
- Have experience operating critical production systems, including monitoring, incident response, capacity planning, and reliability improvement.
- Be able to contribute to architecture discussions, assess implementation risks, and support complex incident analysis.
- Have experience developing engineers through coaching, feedback, and delegation, including engineers with different specialties.
- Have project-management and communication skills to turn broad objectives into clear priorities, milestones, and outcomes.
- Have a bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
Responsibilities
- Lead, coach, and develop Scanner Engineers and Distributed Systems Engineers.
- Set team expectations for ownership, quality, collaboration, delivery, and operational responsibility.
- Define the Data Collection roadmap with Product, Research, Infrastructure, and engineering stakeholders.
- Prioritize work against measurable improvements in data coverage, freshness, fidelity, reliability, scalability, and cost.
- Lead major initiatives from discovery through production delivery, communicating timelines, tradeoffs, and risks.
- Guide architecture across Internet scanning, orchestration, protocol implementations, distributed services, ingestion pipelines, APIs, and operational tooling.
- Establish standards for design, testing, rollout safety, observability, service ownership, and operational readiness.
- Define and use metrics for scan execution, pipeline health, data freshness, protocol coverage, failure rates, and resource consumption.
- Support sustainable on-call and incident-management practices and follow up on systemic causes.
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