- Research emerging threats, attacker techniques, and security trends, and translate them into scalable detection capabilities and security analytics.
- Investigate detection gaps, real-world incidents to identify opportunities for improving coverage, accuracy, and customer outcomes.
- Leverage diverse telemetry sources and security signals to identify malicious activity, improve threat visibility, and strengthen detection coverage across cloud, identity, SaaS, and data security environments.
- Evaluate and improve the quality of existing detections by reducing false positives, increasing fidelity, and ensuring detections remain effective against evolving attacker techniques.
- Contribute to strategic detection initiatives, including advanced threat analytics, detection enrichment, risk scoring, behavioral analytics, and next-generation detection approaches.
- Communicate technical findings, detection logic, and investigation outcomes to both technical and non-technical stakeholders.
- Stay current with emerging attack techniques, threat intelligence, security research, and industry best practices to continuously enhance detection capabilities.
- 4+ years of experience in Detection Engineering, Threat Hunting, Incident Response, Security Research, DFIR, MDR, or a related security discipline
- Experience analyzing large-scale datasets and building data-driven solutions using Python, SQL, Spark, PySpark, or similar technologies
- Proven ability to translate attacker techniques, security research, and real-world incidents into scalable and effective detection logic
- Strong understanding of modern attack methodologies
- Strong investigative and analytical skills, with the ability to analyze ambiguous security problems and drive them to resolution
- Excellent communication and collaboration skills, with the ability to work effectively across Engineering, Product Management, MDR, Forensics, and Support teams
- Demonstrated ownership mindset and ability to independently lead initiatives from problem identification through implementation and operationalization
- Ability to balance research, execution, operational responsibilities, and long-term strategic work in a fast-paced environment
- Passion for continuous learning, curiosity about attacker behavior, and a desire to stay at the forefront of the cybersecurity landscape
- Experience building detections for identity, SaaS, data security, insider risk, or behavioral analytics use cases.
- Experience evaluating detection quality, measuring effectiveness, improving precision and recall through data analysis and feedback loops.
- Designing and developing scalable agentic pipelines to drive innovation across threat detection and security operations
Skills Required
- 4+ years of experience in Detection Engineering, Threat Hunting, Incident Response, Security Research, DFIR, MDR, or a related security discipline
- Experience analyzing large-scale datasets and building data-driven solutions using Python, SQL, Spark, PySpark, or similar technologies
- Ability to translate attacker techniques, security research, and real-world incidents into scalable detection logic
- Strong understanding of modern attack methodologies
- Strong investigative and analytical skills for resolving ambiguous security problems
- Excellent communication and collaboration skills across technical and non-technical teams
- Ownership mindset and ability to independently lead initiatives through implementation and operationalization
- Ability to balance research, execution, operational responsibilities, and strategic work
- Passion for continuous learning and curiosity about attacker behavior
- Experience building detections for identity, SaaS, data security, insider risk, or behavioral analytics
- Experience evaluating detection quality and improving precision and recall through data analysis and feedback loops
- Experience designing and developing scalable agentic pipelines for threat detection and security operations
Varonis Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Varonis and has not been reviewed or approved by Varonis.
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Healthcare Strength — Healthcare coverage is positioned as comprehensive, including medical, dental, and vision options that start immediately in some locations. The package is frequently characterized as a strong part of the overall rewards offering alongside other core benefits.
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Retirement Support — Retirement benefits include a 401(k) with company matching (or a pension plan by region), which strengthens the long-term value of the package. Participation is complemented by additional ownership programs that increase total-rewards attractiveness.
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Equity Value & Accessibility — Equity-related rewards such as stock options and an employee stock purchase plan (ESPP) are a notable part of the total compensation mix. These elements are often cited as helping offset middling perceptions of base pay, especially where equity participation is accessible.
Varonis Insights
What We Do
Varonis is a pioneer in data security and analytics, fighting a different battle than conventional cybersecurity companies. Varonis focuses on protecting enterprise data on premises and in the cloud: sensitive files and emails; confidential customer, patient and employee data; financial records; strategic and product plans; and other intellectual property. The Varonis Data Security Platform detects insider threats and cyberattacks by analyzing data, account activity, perimeter telemetry, and user behavior; prevents and limits disaster by discovering, classifying and locking down sensitive, regulated and stale data; and efficiently sustains a secure state with automation. With a focus on data security, Varonis serves a variety of use cases including data protection, threat detection and response, and compliance. Varonis started operations in 2005 and, as of December 31, 2018, had approximately 6,600 customers worldwide — comprised of industry leaders in many sectors including technology, consumer, retail, financial services, healthcare, manufacturing, energy, media, and education.








