Engineering Manager- Data Collection & Scanning

Censys

8h•$151,000 - $218,000•Remote

About The Position

Censys is seeking an Engineering Manager to lead the Data Collection team, which builds and operates systems that discover, scan, and collect Internet data for the Censys Internet Map and customer-facing products. The team works across high-performance network scanning, protocol implementation, scan orchestration, real-time data pipelines and platforms, observability, and production operations. Its work influences the coverage, freshness, accuracy, reliability, and cost efficiency of customer data. The manager will own people leadership, technical roadmap, delivery, and operational health. They will partner with Product, Research, Security, Infrastructure, and other engineering teams to identify valuable investments and deliver them effectively. The role calls for technical credibility and engagement in architecture, design reviews, incidents, and engineering tradeoffs while enabling engineers. The position is open to remote employees across the continental United States. Censys offers equity, health, dental and vision coverage, retirement with company contribution, parental leave, mental health and wellness benefits, flexible PTO, a professional development stipend, and an annual bonus plan for eligible non-sales roles. Employees hired for this role may be brought to the Ann Arbor headquarters for in-person onboarding.

Requirements

At least three years of engineering management or team leadership experience.
A track record of leading a substantial technical initiative from planning through production delivery.
Prior experience as a software or systems engineer building and operating production systems.
Strong knowledge of distributed systems and networking fundamentals, including TCP/IP, DNS, HTTP, and TLS.
Experience with data-intensive systems such as streaming services, ingestion pipelines, message queues, databases, schedulers, or high-throughput APIs.
Experience operating critical production systems, including monitoring, incident response, capacity planning, and reliability improvement.
Technical fluency to contribute to architecture discussions, assess implementation risks, and support complex incident analysis.
Demonstrated success developing engineers through coaching, feedback, and delegation, including engineers with different specialties.
Strong project-management and communication skills, including the ability to turn broad objectives into clear priorities, milestones, and outcomes.
A bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.

Nice To Haves

Experience with Internet-scale scanning, network measurement, telemetry, security data, or distributed collection systems.
Experience with cloud stacks such as GCP or similar.
Experience with streaming platforms or large-scale data stores such as Pub/Sub, Kafka, Bigtable, Spanner, or comparable technologies.
A background in cybersecurity, Internet measurement, threat intelligence, security research, or productionizing research systems.

Responsibilities

Lead, coach, and develop Scanner Engineers and Distributed Systems Engineers.
Set expectations for ownership, quality, collaboration, delivery, and operational responsibility; provide timely feedback, create growth plans, and delegate ownership of systems, projects, and decisions.
Build a healthy, accountable team; identify staffing needs; and uphold a high bar for hiring, onboarding, and performance management.
Define the Data Collection roadmap with Product, Research, Infrastructure, and engineering stakeholders.
Connect priorities to measurable improvements in data coverage, freshness, fidelity, reliability, scalability, and cost.
Manage scope, dependencies, staffing, and risk while keeping the team focused on high-value work.
Lead major initiatives from discovery through production delivery and communicate timelines, tradeoffs, and risks.
Translate research and exploratory work into maintainable production capabilities when appropriate.
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.
Be accountable for the quality, availability, maintainability, and cost efficiency of the team’s systems.
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 ensure follow-up addresses systemic causes.
Identify architectural bottlenecks and strategic technical debt, evaluate costs and benefits, and recommend priorities.
Establish a clear charter and roadmap aligned with company, product, research, and customer priorities.
Build a cohesive team that shares ownership of end-to-end outcomes and grows into broader responsibilities.
Improve operational visibility, service ownership, incident practices, technical-debt management, and delivery predictability.