Cyber Security Architect

16 hours ago


Hyderabad, Telangana, India Covasant Full time ₹ 12,00,000 - ₹ 36,00,000 per year

Job Description: Cybersecurity Systems Architect – AI-Driven Security Platforms

Location:
Hyderabad

Department:
Architecture & Engineering

Reports to:
CTO / Head of Engineering

Role Overview

We are looking for a
Cybersecurity Systems Architect
with deep expertise in
security infrastructure, enterprise defense systems, and advanced AI/ML technologies.
This role is hands-on and highly technical — you will be responsible for
designing and architecting next-generation cyber defense platforms
that leverage
AI agents, reasoning systems, and autonomous remediation workflows.

The ideal candidate has extensive experience in building and scaling enterprise-grade security systems (SIEM, SOAR, XDR, IAM, Cloud Security) and can work closely with AI/ML teams to create
autonomous, explainable, and resilient AI-powered security solutions.

Key Responsibilities

Architecture & System Design

  • Architect the end-to-end
    AI-driven cybersecurity suite
    (SIEM/SOAR/XDR integrations, threat detection, response automation).
  • Define
    system reference architectures
    , security models, and design blueprints for
    agentic AI integration into SOC workflows
    .
  • Ensure scalability, resilience, and compliance of systems across
    cloud, hybrid, and on-prem infrastructures.
  • Lead
    technical evaluations
    of data pipelines, detection models, and response automation frameworks.

Cybersecurity Expertise

  • Provide deep technical expertise in
    threat detection, SOC operations, endpoint protection, IAM, and cloud security.
  • Architect integrations with existing enterprise tools (e.g., CrowdStrike, SentinelOne, Splunk, Palo Alto, Fortinet).
  • Translate real-world
    attack vectors (APTs, zero-days, insider threats)
    into
    defensive AI-driven countermeasures.
  • Evaluate
    security risks of autonomous AI agents
    and design
    guardrails, safety nets, and auditability mechanisms.
  • At least one hyperscaler (AWS, Azure, or GCP)
    cyber security tools required.

AI/ML Integration

  • Partner with data scientists to design
    AI/agentic systems
    that can reason, learn, and adapt (LLMs, anomaly detection, reinforcement learning).
  • Architect
    data pipelines
    for ingesting telemetry at scale (logs, EDR, NDR, cloud telemetry).
  • Define standards for
    explainability and transparency
    of AI-driven remediation decisions.

Leadership & Mentorship

  • Act as the
    technical authority
    for all cybersecurity system design decisions.
  • Mentor engineers and product managers on security best practices and architectural principles.
  • Collaborate cross-functionally with
    AI researchers, product managers, and customer-facing teams
    .

Qualifications

Education / Background

  • Bachelor's or Master's in
    Computer Science, Cybersecurity, or Systems Engineering
    .
  • 10–12+ years in
    enterprise cybersecurity architecture, SOC design, or advanced security engineering
    .

Core Expertise

  • Security Architecture:
    Strong knowledge of SIEM, SOAR, XDR, EDR, IAM, CASB, Zero Trust, and cloud security architectures.
  • System Design:
    Large-scale distributed systems, high-throughput data pipelines, secure integrations.
  • Threat Landscape:
    Deep familiarity with adversary tactics (MITRE ATT&CK), advanced persistent threats, and red-team/blue-team scenarios.

AI & Automation

  • Hands-on understanding of
    AI/ML frameworks
    (LLMs, RLHF, anomaly detection, autonomous agents).
  • Experience with
    security automation frameworks
    (SOAR, orchestration pipelines, playbooks).
  • Strong interest or experience in
    agentic AI applied to cybersecurity
    .

Certifications (Preferred)

  • CISSP, CISM, or SABSA (Enterprise Security Architecture).
  • Cloud Security certifications (AWS Security, Azure Security Architect, GCP Professional Cloud Security Engineer).
  • Offensive/Defensive certs (OSCP, CEH, GIAC) a plus.


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