Today’s world is crime-riddled. Criminals are everywhere, invisible, virtual and sophisticated. Traditional ways to prevent and investigate crime and terror are no longer enough…
Technology is changing incredibly fast. The criminals know it, and they are taking advantage. We know it too.
For nearly 30 years, the incredible minds at Cognyte around the world have worked closely together and put their expertise to work, to keep up with constantly evolving technological and criminal trends, and help make the world a safer place with leading investigative analytics software solutions.
We are defined by our dedication to doing good and this translates to business success, meaningful work friendships, a can-do attitude, and deep curiosity.
As a Cognyter you will:
- We’re looking for an analyst to examine encrypted raw network data, extract TLS and IP-level metadata, and identify patterns or trends within complex data streams.
- You’ll build analysis pipelines and ensure the accuracy of detection methods using well-defined evaluation metrics.
- Candidates must demonstrate strong knowledge of network protocols, hands-on experience with packet capture analysis, and solid data analysis or machine learning skills.
- You will gain crypto domain expertise and be responsible for developing a Blockchain analytics product.
For that mission you’ll need:
- Bachelor’s degree – Computer Science / Information technology
- Total 5 + Years experience.
- Having 2+ experience into Network Data Engineer / Network Engineer with knowledge of Data Science
- Hands-on technical leadership experience, guiding task distribution, tracking progress, and resolving implementation blockers
- Experience/ Knowledge in network traffic forensics or application traffic analysis,
- Deep understanding of network protocols (IP, TCP, UDP, DNS, TLS, HTTPS, etc.)
- Familiarity with TLS internals
- Working with network traffic data to extract meaningful characteristics or patterns from packet streams
- Knowlege Wireshark/tshark, Network Sniffers and protocol dissectors
- Experience with Python or any other language for scripting and automation would be plus
- Attention to detail and a high standard of data handling
- Highly committed and responsible, independent and able to take initiative
- Flexible and easy to adapt working on multiple technical contexts
- Able to work in a dynamic environment
- Previous experience in a SCRUM team
- Fluent English
Nice to have:
- AI models knowledge
- Research-level machine learning expertise
- Experience creating labeled datasets and synthetic capture generation
- Experience with NoSQL databases (e.g., MongoDB)
- Experience with CI/CD solutions (e.g., Jenkins, TeamCity, Gitlab CI)
- Understanding the SDLC – software Dev. lifecycle -> being part from designing to execution -> writing tests, executing, open bugs.
Skills Required
- Bachelor's degree in Computer Science or Information Technology
- Total 5+ years experience
- 2+ years as Network Data Engineer or Network Engineer with Data Science knowledge
- Hands-on technical leadership experience (task distribution, progress tracking, resolving blockers)
- Experience or knowledge in network traffic forensics or application traffic analysis
- Deep understanding of network protocols (IP, TCP, UDP, DNS, TLS, HTTPS)
- Familiarity with TLS internals
- Experience working with network traffic data to extract characteristics or patterns from packet streams
- Knowledge of Wireshark, tshark, network sniffers and protocol dissectors
- Attention to detail and high standard of data handling
- Highly committed, responsible, independent and able to take initiative
- Flexible and able to adapt to multiple technical contexts
- Able to work in a dynamic environment
- Previous experience in a SCRUM team
- Fluent English
- Experience with Python or other scripting/automation languages
- AI models knowledge
- Research-level machine learning expertise
- Experience creating labeled datasets and synthetic capture generation
- Experience with NoSQL databases (e.g., MongoDB)
- Experience with CI/CD solutions (e.g., Jenkins, TeamCity, GitLab CI)
- Understanding the SDLC and participating from design to execution, writing tests and handling bugs
Cognyte Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Cognyte and has not been reviewed or approved by Cognyte.
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Healthcare Strength — Health coverage spans medical, dental, vision, disability, life insurance, mental‑health support, and FSA options. Coverage is generally portrayed as solid within a well‑rounded package.
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Leave & Time Off Breadth — Time off includes generous PTO, paid holidays, floating holidays, wellness days, and paid volunteer time. These elements indicate a comprehensive time‑off offering.
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Wellbeing & Lifestyle Benefits — Work setup includes flexible schedules and hybrid/remote options highlighted across public materials. Flexibility is emphasized alongside the core benefits offering.
Cognyte Insights
What We Do
Cognyte is a leading software-driven technology company focused on solutions for data processing and investigative analytics that allow customers to generate Actionable Intelligence for a Safer World™. We empower law enforcement, national security, national and military intelligence agencies, and other organizations to navigate an increasingly complex threat landscape with greater speed, accuracy, and precision.
Why Work With Us
Driven by curiosity and a purpose with real-world impact, we place innovation at the core as we tackle complex, fascinating challenges where bold questions forge real breakthroughs.
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