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Низкая зарплатаГибридный форматСильная компания
Оценка от Hirify AI
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Описание вакансии
Текст:
Hirify AI/Оригинал
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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