Software Engineer
Posted 21 Apr 2026
Advertised as “Staff Software Engineer”
BranchFactor Summary
The original posting with the fluff stripped out
- Expected experience
- 8+ yrs
- Management level
- People management
No salary listed for this role.
Vectra® is the leader in AI-driven threat detection and response for hybrid and multi-cloud enterprises.
The Vectra AI Platform delivers integrated signal across public cloud, SaaS, identity, and data center networks in a single platform. Powered by patented Attack Signal Intelligence, it empowers security teams to rapidly prioritize, investigate and respond to the most advanced cyber-attacks. With 35 patents in AI-driven threat detection and the most vendor references in MITRE D3FEND, organizations worldwide rely on the Vectra AI to move at the speed and scale of hybrid attackers. For more information, visit www.vectra.ai.
The Role
We are looking for a Staff Software Engineer to join our Fusion engineering team, focused on building systems that ingest, process, and analyze network cloud telemetry such as flow and DNS logs.
This is a high-impact, hands-on technical leadership role. You will design and scale distributed systems that power real-time detection, while influencing architecture, standards, and engineering practices across teams.
What You’ll Do
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Design and build scalable backend systems using Go and Python
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Develop and evolve high-throughput data pipelines for network flow and DNS telemetry
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Architect systems for real-time and near real-time data processing
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Improve performance, scalability, and cost efficiency of platform services
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Lead design and code reviews, setting a high bar for engineering quality
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Drive cross-team architecture and platform alignment
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Partner with product and detection teams to deliver shared platform capabilities
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Mentor engineers and contribute to a culture of technical excellence and ownership
What We’re Looking For
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8+ years of experience building distributed systems at scale
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Strong proficiency in Go (Golang) and experience with Python
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Experience with streaming or data-intensive systems (e.g., Kafka, Kinesis, Flink)
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Solid understanding of network telemetry (e.g., flow logs, DNS)
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Experience with cloud platforms (AWS preferred)
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Strong background in systems design, performance, and reliability
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Proven ability to lead technical initiatives across teams
Nice to have:
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Background in cybersecurity or network detection