Engineering Manager, Data Ingestion – NG-SIEM

Jobtailor; New York (NY); On-site; USD 150,000 - 190,000; Full time

Job summary

Jobtailor is seeking a senior engineering leader in New York to guide a 6+ person team building a petabyte-scale data ingestion platform. You will tackle distributed-systems challenges, drive the roadmap and OKRs, and ensure multi-region operational excellence across cloud environments.

You will partner with product, customer success, and support to deliver customer-focused outcomes, maintain high engineering standards, and occasionally travel to align with teams and stakeholders.

Qualifications

• Must be a U.S. Citizen or US Permanent Resident.
• Strong background architecting, designing, and developing distributed-systems products across the development lifecycle.
• Experience preferably in a large-scale cloud environment.
• 2+ years of experience managing teams of 6+ individual contributors.
• Experience delivering multiple major product milestones.
• Demonstrated track record of building strong engineering teams.
• Operational excellence operating services spanning many components and geographical regions.
• History of positive impact on customer experience and business results.
• Proven experience utilizing AI technologies to enhance decision-making and drive business outcomes.
• Excellent verbal and written communication skills.
• Experience in large-scale distributed-system architecture, scalability, availability, and optimization is a bonus.
• Experience with stream processing, Kafka, or similar technologies is a bonus.
• Must periodically undergo and pass additional background and fingerprint checks for government customer requirements.

Responsibilities

• Lead a group 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's roadmap and quarterly OKRs.
• Instill operational excellence for globally available, multi-region production systems.
• Define and uphold team SLOs.
• Engage regularly with product management, customer success, and support stakeholders.
• Lead with customer and product focus.
• Maintain a high bar for engineering talent and accountability.
• Collaborate with teams across CrowdStrike's data platforms and product organizations.
• Travel a few times every year to meet teams and peers.

Skills

Distributed-Systems Architecture

Team Management

Operational Excellence

AI Technologies Utilization

Cloud Environment Experience

Tools

Kafka

Job description

• Lead a group 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's roadmap and quarterly OKRs
• Instill operational excellence for globally available, multi-region production systems
• Define and uphold team SLOs
• Engage regularly with product management, customer success, and support stakeholders
• Lead with customer and product focus
• Maintain a high bar for engineering talent and accountability
• Collaborate with teams across CrowdStrike's data platforms and product organizations
• Travel a few times every year to meet teams and peers

Requirements

• Must be a U.S. Citizen or US Permanent Resident
• Strong technical background architecting, designing, and developing distributed-systems products/releases across the development lifecycle
• Experience preferably in a large-scale cloud environment
• 2+ years of experience managing teams of 6+ individual contributors
• Experience delivering multiple major product milestones
• Demonstrated track record of building strong engineering teams
• Demonstrated operational excellence operating services spanning many components and geographical regions
• History of positive impact on customer experience and business results
• Proven experience utilizing AI technologies to enhance decision-making, streamline workflows and processes, improve efficiency, and drive business outcomes
• Excellent verbal and written communication skills
• Experience in large-scale distributed-system architecture, scalability, availability, and optimization is a bonus
• Experience with stream processing, Kafka, or similar technologies is a bonus
• Must periodically undergo and pass additional background and fingerprint checks consistent with government customer requirements

Core Competencies

Demonstrates expertise in leading engineering teams to build and optimize large-scale distributed systems, with a focus on operational excellence and customer impact. Proven ability to manage product roadmaps and deliver on key performance indicators in a cloud environment.

Highest-signal resume keywords

• Distributed-Systems Architecture
• Team Management
• Operational Excellence
• AI Technologies Utilization
• Cloud Environment Experience

ATS Optimization Keywords

Hard Skills

• Distributed-Systems Design
• Scalability
• High Availability
• Performance Optimization
• Stream Processing
• Kafka
• Product Milestone Delivery
• Engineering Accountability
• Multi-Region Systems

Soft Skills

• Excellent Communication Skills
• Customer Focus
• Collaboration

Certifications & Qualifications

• U.S. Citizenship or US Permanent Residency

Industry Keywords

• Data Ingestion Platform
• Operational Excellence
• SLOs
• OKRs
• Engineering Talent