Engineering Manager, Data Collection & Scanning
New
J
JobgetherCybersecurity, Internet intelligence
Opportunity to work remotely within eligible locations across the continental United States.Full-TimeManager
SalaryUS$174,000–US$218,000 for high-cost-of-living locations, including the San Francisco Bay Area, New York City, and Seattle. US$151,000–US$191,000 for other eligible locations. Eligibility for an annual bonus plan. Opportunity to receive equity as part of the overall compensation package. Dedicated professional development stipend.
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Job Details
- Experience
- At least 3 years of experience in engineering management or technical team leadership.
- Required Skills
- GCPDistributed Systems
Requirements
- At least 3 years of experience in engineering management or technical team leadership, managing and developing engineers.
- Previous professional experience as a software engineer or systems engineer building and operating production-grade systems.
- Experience leading significant technical initiatives from planning through production implementation.
- Strong understanding of distributed systems and networking fundamentals, including TCP/IP, DNS, HTTP, and TLS.
- Experience designing, developing, or operating data-intensive systems such as streaming services, ingestion pipelines, message queues, databases, schedulers, and high-throughput APIs.
- Hands-on experience managing production environments, including monitoring, incident response, capacity planning, troubleshooting, and reliability improvements.
- Technical judgment to contribute to architecture discussions, evaluate implementation risks, and support complex incident investigations.
- Demonstrated ability to coach and develop engineers through feedback, delegation, and clear performance expectations.
- Project management and organizational skills to turn business objectives into priorities, roadmaps, milestones, and measurable results.
- Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
- Advantageous: experience with Internet-scale scanning, network measurement, telemetry, security data, or distributed collection systems.
- Advantageous: familiarity with cloud infrastructure, particularly Google Cloud Platform (GCP) or comparable technologies.
- Advantageous: experience with Google Pub/Sub, Apache Kafka, Bigtable, Spanner, or equivalent streaming and data storage technologies.
Responsibilities
- Lead, mentor, and develop Scanner Engineers and Distributed Systems Engineers, setting expectations for ownership, collaboration, technical quality, and delivery.
- Establish growth plans, provide feedback, delegate responsibilities, and support recruitment, onboarding, and performance management.
- Define and own the Data Collection engineering roadmap with Product, Research, Infrastructure, and engineering stakeholders.
- Lead technical initiatives from discovery and planning through implementation and production delivery, managing scope, dependencies, timelines, resources, and risks.
- Guide architectural decisions across Internet scanning, scan orchestration, protocol implementations, distributed services, data ingestion pipelines, APIs, and operational tooling.
- Set engineering standards for system design, testing, deployment safety, observability, service ownership, and production readiness.
- Monitor operational indicators including scan execution, pipeline health, data freshness, protocol coverage, failure rates, and resource consumption.
- Improve observability, incident response, and on-call practices, and ensure incidents lead to investigations and corrective actions.
- Identify architectural bottlenecks and technical debt, and recommend investments to improve performance and reliability.
- Communicate project progress, technical trade-offs, delivery risks, and expected outcomes to stakeholders.
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