Accountabilities:

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.

How Jobgether works

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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