Staff Software Engineer
Vectra
$186,000 - $252,000 / year
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Description
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
- Design and build scalable backend systems using Go and Python
- Develop and evolve high-throughput data pipelines for network flow and DNS telemetry
- Architect systems for real-time and near real-time data processing
- Improve performance, scalability, and cost efficiency of platform services
- Lead design and code reviews, setting a high bar for engineering quality
- Drive cross-team architecture and platform alignment
- Partner with product and detection teams to deliver shared platform capabilities
- Mentor engineers and contribute to a culture of technical excellence and ownership
What We’re Looking For
- 8+ years of experience building distributed systems at scale
- Strong proficiency in Go (Golang) and experience with Python
- Experience with streaming or data-intensive systems (e.g., Kafka, Kinesis, Flink)
- Solid understanding of network telemetry (e.g., flow logs, DNS)
- Experience with cloud platforms (AWS preferred)
- Strong background in systems design, performance, and reliability
- Proven ability to lead technical initiatives across teams
Nice to have:
- Background in cybersecurity or network detection
- Experience with real-time analytics systems
- Expertise in data warehousing technologies (e.g., Elasticsearch, Hadoop, Druid)
Why Join Vectra
- Work on high-scale, real-time systems solving complex security challenges
- Help build a platform that processes massive volumes of network data
- Collaborate with experienced engineers in a high-impact environment
- Contribute to technology that directly improves customer security outcomes
Vectra provides a comprehensive total rewards package that supports the financial, physical, mental and overall health of our employees and their families. Compensation includes competitive base pay, incentive plan eligibility, and participation in the employee equity plan (stock options). Specific benefits offered varies by location, but commonly include health care insurance, income protection / life insurance, access to retirement savings plans, behavioral & emotional wellness services, generous time away from work, and a comprehensive employee recognition program.
Vectra is committed to creating a diverse environment and is proud to be an equal opportunity employer.
We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.
About this role
Vectra is seeking a Staff Software Engineer to join the Fusion team in Austin, building the backend systems that ingest and analyze network telemetry at scale. This is a hands-on technical leadership role where you'll design distributed systems powering real-time threat detection, set engineering standards across teams, and mentor other engineers. You'll work primarily in Go and Python, architecting high-throughput data pipelines for flow and DNS logs while improving performance and cost efficiency across the platform.
The ideal candidate has 8+ years building distributed systems, strong Go proficiency, and experience with streaming platforms like Kafka or Kinesis. You should understand network telemetry fundamentals, have shipped systems on AWS, and be comfortable leading technical initiatives across teams. Background in cybersecurity or real-time analytics is a plus but not required. This role offers the chance to work on genuinely complex infrastructure problems—processing massive data volumes to detect advanced attacks—alongside experienced engineers in a high-impact environment.
Compensation ranges from $186,000 to $252,000, with equity participation and a comprehensive benefits package. The position is in-office in Austin, Texas.
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Pay for this role
$186,000 to $252,000 per year
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