1 месяц назад
Engineering Manager - Data Ingestion, NG-SIEM (Hybrid)
11 667 - 17 917$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Engineering Manager - Data Ingestion, NG-SIEM (Hybrid) (Distributed Systems/Cloud): Building and scaling a petabyte-scale data ingestion platform for NG-SIEM with an accent on reliability, performance, availability, and cost optimization. Focus on leading engineers, designing multi-region systems, and solving complex data-processing challenges at sub-second latency.
Location: Hybrid, onsite at the New York City office 2–3 days per week once the development center is established; candidates must be U.S. citizens or U.S. permanent residents. The role supports globally distributed 24/7 systems and requires periodic travel.
Salary: $140,000–$215,000 per year, plus eligibility for bonuses, equity grants, and benefits.
Company
Build cybersecurity products that protect organizations through an AI-native platform and large-scale distributed systems.
What you will do
- Lead a team of 6+ engineers building a petabyte-scale data ingestion platform.
- Solve distributed-systems challenges involving high availability, reliability, performance, and cost optimization.
- Own the team roadmap, quarterly OKRs, service-level objectives, and operational excellence for multi-region production systems.
- Collaborate with product management, customer success, support, data platforms, and other product teams.
- Maintain a strong standard for engineering talent, accountability, customer focus, and business impact.
- Coordinate with globally distributed teams and travel several times per year to meet teams and peers.
Requirements
- U.S. citizenship or U.S. permanent residency is required.
- Strong technical background architecting, designing, and developing distributed-systems products in large-scale cloud environments.
- At least 2 years of experience managing teams of 6+ individual contributors and delivering major product milestones.
- Experience operating services spanning multiple components and geographical regions with a focus on operational excellence.
- Demonstrated positive impact on customer experience and business results.
- Experience using AI technologies to improve decision-making, workflows, efficiency, and business outcomes.
Nice to have
- Experience with large-scale distributed-system architecture, scalability, availability, and optimization.
- Experience with stream processing, Kafka, or similar technologies.
Culture & Benefits
- Flexible, autonomous work environment with a focus on responsible AI adoption and innovation.
- Comprehensive physical and mental wellness programs.
- Competitive vacation, holidays, paid parental and adoption leave.
- Professional development opportunities and employee networks.
- Office amenities, geographic groups, and volunteer opportunities.
- Health insurance, 401(k), equity awards, bonuses, and paid time off.
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