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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
- 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 chance to influence core security products.

📌 OT Network Traffic Analyst – Anomaly Detection Specialist (Kanpur)
🏢 Acura Solution
📍 Kanpur