SIEM Engineering Manager

Company Profile

Our client is a global IT services company that helps businesses with digital transformation with offices in India and the United States. It helps businesses with digital transformation, provide IT collaborations and uses technology, innovation, and enterprise to have a positive impact on the world of business.

With expertise is in the fields of Data, IoT, AI, Cloud Infrastructure and SAP, it helps accelerate digital transformation through key practice areas - IT staffing on demand, innovation and growth by focusing on cost and problem solving.

Location & work – Noida, India

Employment Type - Full Time

Profile – SIEM Engineering Manager

Preferred experience - 10+ Years

The Role :

As a SIEM Engineering Manager, you will be responsible for the t echnical direction, operational governance, and delivery assurance of SIEM and SOAR platforms.This position leads engineering, automation, and AI-driven transformation initiatives to build a self-driving, SLA-based, AI-augmented SOC. The role involves team leadership, platform scalability, automation development, AI integration, documentation oversight, and governance engagement with client stakeholder.

Responsibilities :

• Lead cross-functional teams : SIEM Engineers, SOAR Developers, Automation Leads, Content Writers, and GenAI Developers.
• Define and track engineering delivery KPIs, SLAs, and transformation milestones.
• Ensure 24x7 engineering support readiness with L3-level coverage, including weekends.
• Drive continuous improvement, innovation, and engineering excellence.
• Govern ingestion pipelines, data normalization, correlation rules, and detection logic.
• Ensure alignment with threat models, compliance requirements, and security standards.
• Oversee platform health, performance tuning, and scalability planning.
• Integrate SIEM with XDR, DLP, EDR, and identity security tools.
• Direct development of playbooks in Azure Logic Apps and other SOAR platforms.
• Collaborate with Automation Leads to drive hyper-automation and reduce MTTR.
• Ensure playbooks are modular, scalable, and aligned with IR procedures.
• Promote KQL-based automation and Copilot (AI) usage for Smart L2 operations.
• Guide GenAI Developers in embedding AI agents into SOC workflows.
• Support predictive analytics, RCA automation, incident summarization, and LLM-based enhancements.
• Oversee Content Writers in documenting use cases, playbooks, and detection logic.
• Ensure engineering documentation, traceability, and audit readiness.

Must-Have Qualifications :

Preferred Qualifications :

Application Method

Apply online on this portal or on email at