Engineering Manager- Data Collection & Scanning

This position is listed on behalf of a partner company, which manages all applications and next steps. Our partner is looking for an Engineering Manager – Data Collection & Scanning based in Canada.

This is an exciting opportunity to lead a multidisciplinary engineering team responsible for building and operating large-scale systems that map and monitor the Internet. As an Engineering Manager, you will oversee the development of advanced data collection, network scanning, and distributed systems capabilities that power critical cybersecurity intelligence products. You will combine people leadership, technical strategy, and operational ownership to improve data coverage, accuracy, freshness, reliability, and efficiency. Working closely with Product, Research, Infrastructure, Security, and Engineering teams, you will translate complex technical challenges into actionable roadmaps and measurable outcomes. You will guide architectural decisions, develop engineering talent, and ensure that critical systems operate reliably at scale. This role is ideal for an experienced technical leader who enjoys solving complex problems, building high-performing teams, and contributing to technology that helps organizations better understand and manage their digital exposure.

Team Leadership and Development: Lead, mentor, and develop a multidisciplinary team of Scanner Engineers and Distributed Systems Engineers, establishing clear expectations around ownership, collaboration, technical quality, and delivery. Provide regular feedback, create professional development plans, delegate meaningful responsibilities, and support engineers in expanding their technical expertise and leadership capabilities. Build and maintain a high-performing, accountable engineering team by identifying staffing requirements, supporting recruitment, improving onboarding, and managing performance. Roadmap and Program Delivery: Define and own the data collection engineering roadmap in collaboration with Product, Research, Infrastructure, and other technical stakeholders. Translate organizational and customer priorities into measurable engineering objectives focused on improving data coverage, freshness, accuracy, reliability, scalability, and infrastructure efficiency. Lead complex engineering initiatives from initial discovery and planning through implementation and production deployment, managing timelines, dependencies, resources, and delivery risks. Coordinate multiple priorities while ensuring that teams remain focused on high-impact projects and that technical trade-offs are clearly communicated. Transform research and experimental initiatives into reliable, maintainable, production-ready capabilities whenever appropriate. Technical and Operational Leadership: Guide architecture and technical decisions across Internet scanning, scan orchestration, protocol implementations, distributed services, data ingestion pipelines, APIs, and operational tooling. Establish and maintain engineering standards for system design, testing, deployment safety, observability, service ownership, and operational readiness. Take ownership of the quality, availability, maintainability, scalability, and cost efficiency of the team's systems. Define and monitor key operational metrics, including scan execution, pipeline health, data freshness, protocol coverage, failure rates, and infrastructure resource consumption. Improve monitoring, incident response, on-call procedures, and service reliability, ensuring that incidents lead to meaningful corrective actions and long-term improvements. Identify architectural bottlenecks and technical debt, assess their business and operational impact, and prioritize improvements accordingly. Partner with cross-functional teams to align engineering investments with customer needs, product strategy, research priorities, and broader business objectives.

Requirements:

At least 3 years of experience in engineering management or technical team leadership, including responsibility for developing and managing engineers. Previous hands-on experience as a software engineer or systems engineer, building and operating production-grade systems. Demonstrated ability to lead substantial technical initiatives from initial planning through successful production delivery. Strong understanding of distributed systems and networking fundamentals, including TCP/IP, DNS, HTTP, and TLS. Experience developing or operating data-intensive systems, such as streaming platforms, ingestion pipelines, message queues, databases, schedulers, and high-throughput APIs. Proven experience managing critical production systems, including monitoring, incident response, capacity planning, performance optimization, and reliability improvements. Strong technical judgment and the ability to contribute meaningfully to architecture discussions, evaluate implementation risks, and support complex incident investigations. Demonstrated leadership and coaching abilities, including providing constructive feedback, delegating responsibilities, and supporting engineers across different technical specialties. Strong project management and organizational skills, with the ability to transform broad objectives into structured roadmaps, priorities, milestones, and measurable outcomes. Excellent communication and collaboration skills, particularly when working with multidisciplinary teams and translating technical challenges into clear decisions. A bachelor's degree in Computer Science, Engineering, or a related discipline, or equivalent practical experience. Ability to balance competing priorities involving delivery speed, technical quality, infrastructure costs, operational risks, and customer impact. A proactive, accountable, and adaptable leadership style, with the ability to establish direction while empowering engineers to make independent decisions.

Additional assets that would be an advantage:

Experience with Internet-scale scanning, network measurement, telemetry, security data, or distributed data collection systems. Familiarity with cloud infrastructure and platforms, particularly Google Cloud Platform (GCP) or equivalent technologies. Experience with streaming platforms and large-scale data storage solutions such as Google Pub/Sub, Apache Kafka, Bigtable, Spanner, or comparable technologies. Background in cybersecurity, Internet measurement, threat intelligence, security research, or productionizing research-driven systems. Experience working with multidisciplinary engineering teams responsible for high-volume data collection and processing.

Benefits:

Competitive salary: US$174,000–US$218,000 annually for designated high-cost-of-living locations, including San Francisco Bay Area, New York City, and Seattle. US$151,000–US$191,000 annually for other locations. Compensation is adjusted according to geographic location, experience, qualifications, and the scope of the role. Canadian compensation should be confirmed with the hiring team. Performance incentives: Eligibility for an annual bonus plan. Equity compensation: Opportunity to participate in the company's growth through equity. Comprehensive healthcare: Health, dental, and vision insurance coverage. Retirement benefits: Retirement savings plan with an employer contribution. Parental leave: Paid parental leave to support employees and their families. Mental health and wellness: Access to mental health resources and wellness benefits. Flexible paid time off: Flexible PTO to support work-life balance. Professional development: Dedicated professional development stipend to support continued learning and career growth. Remote work: Opportunity to work remotely, with compensation adjusted according to the employee's location. Inclusive workplace: A collaborative environment that values diverse perspectives, professional development, and equal employment opportunities. Accessibility support: Reasonable accommodations are available throughout the recruitment process and during employment.

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

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