[Remote] Engineering Manager

Note: The job is a remote job and is open to candidates in USA. Nebulock is an agentic threat hunting platform that autonomously surfaces behaviors from various data sources. As the first Engineering Manager, you will lead the team responsible for the core systems, focusing on data ingestion, transformation, and search layers that power threat hunting and detection engineering workflows.

Responsibilities

• Own and drive the architecture of Nebulock’s data platform
• Establish best practices for data modeling, system reliability, and performance optimizations
• Oversee the development of complex entity correlation systems
• Guide the development and evolution of real-time and batch processing systems
• Ensure high-quality and clearly structured data models that power detection engineering and threat hunting workflows
• Set standards for building scalable integrations across diverse and disparate data sources (EDR, IAM, Cloud, SaaS)
• Build, mentor, and lead a team of backend engineers
• Drive execution quality, velocity, and accountability across the team
• Foster a culture of high-ownership, transparency, and low-egos
• Support career growth and development of individual team members
• Own recruiting for the data platform team as needed
• Work cross functionality to align on data platform needs and capabilities
• Translate business and product priorities into concrete data platform roadmap items and deliverables
• Partner in shaping Nebulock’s broader engineering culture and standards

Skills

• 6+ years of experience building backend distributed systems and working with data
• 1+ years of experience managing engineering teams
• Proficiency in Python, Java, Go, Rust, or similar
• Experience with either AWS or GCP
• Deep experience with data pipelines and event-driven systems
• Strong understanding of system design, data modeling, and performance trade-offs
• Experience with OLAP databases and large-scale query systems
• Proven ability to lead a team that executes consistently and maintains a high-quality bar
• Desire to operate in a fast-paced, low-ego environment
• Experience with streaming data processing engines (i.e. Flink)
• Experience building or working with search systems over large datasets
• Cybersecurity experience
• Startup experience

Benefits

• A dynamic startup environment with opportunities for rapid career growth
• A collaborative culture that values innovation and creativity
• Competitive salary and equity options
• Comprehensive benefits package (including 401K)
• Opportunities to travel for conferences, workshops, and team-building events

Company Overview

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