Threat Detection Engineer

Overview

Design, build and maintain detections and security analytics within the Cyber Fusion Center, combining threat intelligence, monitoring, detection engineering, incident response and security automation to protect the business.

What you'll do

• Design, develop, test and maintain high-quality detections for threats including malware, ransomware, identity attacks, insider threats, cloud threats, network, AI, and advanced persistent threats.
• Develop detection logic across SIEM, EDR/XDR, cloud, network, identity, and application security platforms using tools such as Splunk SPL, Microsoft Sentinel KQL, Elastic Query DSL, Sigma, and YARA.
• Apply artificial intelligence, machine learning, and data science techniques to identify anomalous behavior, emerging threats, attack patterns, and indicators of compromise.
• Build and maintain security analytics and data pipelines using Python, SQL, Pandas, NumPy, scikit-learn, and Databricks.
• Perform feature engineering, statistical analysis, model development, testing, tuning, and performance monitoring for security use cases.
• Conduct threat hunting and hypothesis-driven investigations to identify gaps in existing detection coverage.
• Map detections to the MITRE ATT&CK framework and improve coverage of priority attack techniques.
• Analyze false positives, false negatives, alert quality, and detection performance, implementing improvements based on measurable results.
• Collaborate with SOC, Incident Response, Threat Intelligence, SOAR, Cloud Security, and Vulnerability Management teams to develop effective detection capabilities.
• Implement detection-as-code practices using version control, peer review, automated testing, CI/CD, documentation, and controlled deployment.
• Support purple-team exercises, adversary simulations, attack replay, and detection validation activities.
• Explore the use of Generative AI, Large Language Models, and Agentic AI to improve threat research, detection development, alert analysis, and investigations.
• Develop Power BI dashboards and reports to communicate detection coverage, alert trends, model performance, data quality, and operational metrics.
• Document detection logic, data sources, analytical methods, model limitations, investigation procedures, and response recommendations.

What you'll need

• Five or more years of experience in cybersecurity, threat detection, detection engineering, threat hunting, security analytics, or a related field.
• Strong knowledge of security operations, incident response, threat intelligence, attack techniques, and enterprise security technologies.
• Hands-on experience developing detections for SIEM, EDR/XDR, cloud, network, identity, or application security platforms.
• Strong Python and SQL skills, including experience processing and analyzing large security datasets.
• Practical experience with data science and machine learning methods, including data preparation and exploratory analysis, feature engineering, anomaly detection, classification and clustering, and model evaluation and performance tuning.
• Experience with Python libraries such as Pandas, NumPy, scikit-learn, Matplotlib, or equivalent tools.
• Experience using Databricks, data lakes, Spark, or other large-scale data processing platforms.
• Experience with one or more detection technologies, such as Splunk SPL, Microsoft Sentinel KQL, Elastic, Sigma, YARA, Suricata, Snort, or EDR query languages.
• Understanding of MITRE ATT&CK and the detection engineering lifecycle, including design, development, testing, deployment, tuning, monitoring, and retirement.
• Strong analytical, problem-solving, documentation, and communication skills.

Details

• Location: Hyderabad, Telangana, India.
• Job category: 20 - Professional (EEO-2 Job Categories, United States of America); job group IFTECH202.2 - Middle Professional Tier II.
• Grade level (internal use): 11.