OT Network Traffic Analyst – Anomaly Detection Specialist

16 hours ago

Kanpur, Uttar Pradesh, India Acura Solution Full time ₹ 12,00,000 - ₹ 36,00,000 per year


Job Description:

Job Title: OT Network Traffic Analyst – Anomaly Detection Specialist

Job Summary:
We are seeking a skilled OT Network Traffic Analyst with deep expertise in Operational
Technology (OT) communication protocols to join our cross-functional security and ML team.
The ideal candidate will be responsible for intercepting and analyzing OT network traffic,
identifying potential anomalies, and contributing to the development of cutting-edge anomaly
detection solutions — even across proprietary and undocumented protocols.
This is a hands-on role requiring both technical proficiency in network traffic inspection and the
ability to collaborate with machine learning engineers and cybersecurity experts.

Key Responsibilities:

• Intercept, monitor, and analyze traffic from OT/ICS networks in real-time and from
historical captures.

• Perform protocol-level inspection across standard (e.g., Modbus, DNP3, OPC-UA, IEC
61850) and proprietary OT communication protocols.

• Reverse engineer undocumented or proprietary OT protocols where necessary.

• Identify and flag anomalous behavior or patterns in the traffic, correlating with known
attack vectors or operational deviations.

• Collaborate with ML engineers to define features and data inputs for anomaly detection
models.

• Contribute domain expertise in OT to refine, validate, and test detection algorithms.

• Assist in setting up testbeds and simulations to emulate OT environments and collect
relevant traffic data.

• Document findings and create actionable reports for both technical and non-technical
stakeholders.

• Stay current with advancements in OT threat intelligence and anomaly detection research.

Required Qualifications:

• Bachelor's or Master's degree in Computer Science, Electrical Engineering, Cybersecurity,
or a related field.

• 3+ years of experience working in OT/ICS environments.

• Deep understanding of OT communication protocols (e.g., Modbus, BACnet, PROFINET,
OPC, etc.), including ability to analyze raw packet captures.

• Experience with network traffic analysis tools (Wireshark, Zeek, tcpdump, etc.).

• Familiarity with network intrusion detection systems (NIDS) and traffic replay tools.


• Basic knowledge of machine learning concepts and how data features are derived from raw
data.

• Hands-on experience with packet inspection, protocol dissection, or protocol reverse
engineering.

Preferred Qualifications:

• Experience working with or developing anomaly detection models in cybersecurity.

• Knowledge of ICS/SCADA systems and the Purdue model.


• Exposure to proprietary or vendor-specific OT protocols (e.g., Siemens S7, GE, Allen-
Bradley, etc.).


• Familiarity with cybersecurity frameworks like NIST, MITRE ATT&CK for ICS.

• Scripting or automation skills (Python, Bash) for parsing and transforming traffic data.

• Prior experience in cross-functional teams including ML and cybersecurity experts.

Why Join Us?

• Work on cutting-edge anomaly detection in real-world OT environments.

• Collaborate with a high-caliber team of machine learning and cybersecurity professionals.

• Tackle novel challenges across legacy and proprietary OT protocols.

• Flexible work environment and opportunity to influence core security products.


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