karnataka government cyber security Jobs – 149 Open Jobs Today

SOC Analyst IV
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- Full-time
- Azure
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- Research
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- Full-time
- Microsoft Powerpoint
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Thales —Bengaluru, Karnataka
- Full-time
- DevOps
- English
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Global Banking & Markets - Eqs Sts Strats - Associate - Bengaluru
Goldman Sachs —Bengaluru, Karnataka
- Computer Science
- Master's degree
- Bachelor's degree
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Vice President of Threat Intelligence Intelligence
CYFIRMA —Bengaluru, Karnataka
- Email
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- Computer Science
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IN_Senior Associate_Java/Python_Advisory Corporate_Advisory_Bangalore
PwC —Bengaluru, Karnataka
- Full-time
- Java
- Bachelor's degree
- Travel
System Admin
DishaNitish Technologies Private Limited —Unknown, Karnataka
- Master's degree
- Bachelor's degree
- Machine learning
Quick apply
Asset & Wealth Management - PWM Performance Tech - Associate - Bengaluru
Goldman Sachs —Bengaluru, Karnataka
- Java
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Asset & Wealth Management - AM Equity Solutions Strats - Vice President - Hyderabad
Goldman Sachs —Bengaluru, Karnataka
- Analysis skills
- Machine learning
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Senior Penetration Tester
CGI —Bengaluru, Karnataka
- Full-time
- Azure
- Computer Science
- Windows
Quick apply
IN_Director_Cybersecurity GTM_Advisory Corporate_Advisory_Bangalore
PwC —Bengaluru, Karnataka
- Full-time
- Computer Science
- Engineering
- Master's degree
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Asset & Wealth Management - Private Bank Technology - Vice President - Bengaluru
Goldman Sachs —Bengaluru, Karnataka
- Computer Science
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IN_Manager_Java/Python_Advisory Corporate_Advisory_Bangalore
PwC —Bengaluru, Karnataka
- Full-time
- Java
- Bachelor's degree
- Travel
Senior Legal Counsel, Group Commercial Legal
Standard Chartered —Bengaluru, Karnataka
- Management
- Analysis skills
- Bachelor's degree
- Health insurance
- Paid sick time
Engineering
Cyware —Bengaluru, Karnataka
- Full-time
- Databases
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IN_Senior Associate_Microsoft Purview Data Governance_GCC_Advisory_Bangalore
PwC —Bengaluru, Karnataka
- Full-time
- Azure
- SQL
- Bachelor's degree
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Tech Lead - Cloud / DevOps (C#)
Thales —Bengaluru, Karnataka
- Full-time
- Azure
- Computer Science
- Engineering

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SOC Analyst IV

Saviynt -
Bengaluru, Karnataka

Apply Now

Job details

Full-time

Qualifications

BCS
CI/CD
Azure
Computer Science
Kubernetes
PaaS
Git
Information security
Bash (Unix shell)
Pandas
AWS
Cloud security
Bachelor's degree
Machine learning
Version control systems
Continuous integration
Splunk
Azure Certification
Scripting
APIs
GIAC Certification
Data science
Threat intelligence
Cybersecurity
AI
AWS Certified Security – Specialty
Python
PowerShell
Data Science
Analytics

Full job description

Saviynt's AI-powered identity platform manages and governs human and non-human access to all of an organization's applications, data, and business processes. Customers trust Saviynt to safeguard their digital assets, drive operational efficiency, and reduce compliance costs. Built for the AI age, Saviynt is today helping organizations safely accelerate their deployment and usage of AI. Saviynt is recognized as the leader in identity security, with solutions that protect and empower the world’s leading brands, Fortune 500 companies and government institutions. For more information, please visit www.saviynt.com.

About the Job
We are building a next-generation Agentic Security Operations Center (SOC) designed for the AI era. We believe that effective security operations must evolve beyond traditional reactive methods. We are building an intelligent, AI-driven SOC that combines deep cloud security expertise with advanced automation and machine learning to predict, prevent, and neutralize advanced threats faster than ever.

We are seeking a SOC Detection Engineer - Cloud and AI Automation to serve as a technical expert responsible for designing, building, and optimizing detection capabilities across our cloud-native security stack. This is a hands-on-keyboard role for someone who thrives on creating intelligent detections, leveraging AI/ML for threat identification, and building automation that scales security operations. You will be responsible for engineering detection logic, fine-tuning AI-powered alerts, and driving continuous improvement in our detection and response capabilities.

WHAT YOU WILL BE DOING

Detection Engineering & Content Development

Design, develop, and deploy advanced detection rules and logic across SIEM, EDR, CSPM, and cloud-native security platforms.
Build and maintain detection-as-code using modern frameworks and version control systems (Git).
Create high-fidelity, low-noise detections mapped to the MITRE ATT&CK framework, focusing on cloud-specific threats and techniques.
Continuously research emerging threats, TTPs (Tactics, Techniques, and Procedures), and translate threat intelligence into actionable detection content.
Perform detection efficacy testing and validation using purple team exercises and adversary emulation frameworks.

AI & Machine Learning Integration

Leverage AI/ML capabilities within security platforms to enhance threat detection accuracy and reduce false positives.
Build and tune machine learning models for anomaly detection, behavioral analytics, and predictive threat identification.
Integrate generative AI and large language models (LLMs) to accelerate alert triage, investigation workflows, and threat analysis.
Evaluate and implement AI-powered security tools for automated threat detection, alert enrichment, and investigation assistance.
Monitor and optimize AI/ML model performance, addressing data quality, model drift, and false positive/negative rates.

Cloud Security Detection & Monitoring

Act as a Subject Matter Expert (SME) for cloud security detection engineering across AWS, Azure, and GCP environments.
Design detections leveraging cloud-native logs (CloudTrail, Azure Activity Logs, GCP Audit Logs) and security services (GuardDuty, Security Command Center, Defender for Cloud).
Build detections for cloud-specific threats including misconfigurations, identity compromise, data exfiltration, and infrastructure attacks.
Monitor container and Kubernetes environments, developing detections for runtime threats and supply chain attacks.

Security Automation & Orchestration

Design and implement automated detection deployment pipelines using secure CI/CD methodologies.
Build custom scripts (Python, PowerShell, Bash) for automated alert enrichment, evidence collection, and response actions.
Develop and maintain automated response playbooks in SOAR platforms to handle detection-triggered workflows.
Integrate security tools via APIs to create seamless, automated detection and response ecosystems.
Identify opportunities to apply automation and AI to reduce Mean Time to Detect (MTTD) and Mean Time to Respond (MTTR).

Continuous Improvement & Collaboration

Analyze detection performance metrics, false positive rates, and coverage gaps to drive continuous improvement.
Collaborate with threat intelligence, incident response, and threat hunting teams to refine detection strategies.
Create and maintain comprehensive documentation for detection logic, tuning procedures, and operational runbooks.
Provide technical guidance on detection engineering best practices and emerging technologies.
Stay current with the latest security research, adversary techniques, and AI/ML

advancements in cybersecurity.

WHAT YOU BRING

Bachelor's degree in Computer Science, Information Security, Data Science, or a
related field.

8-12 years of experience in cybersecurity with at least 4+ years focused on detection engineering, threat detection, or security analytics.
Strong Cloud Security Detection Skills: Deep, hands-on experience building detections for at least one major cloud provider (AWS, Azure, or GCP), including native security services and log sources.
AI/ML Security Experience: Practical experience applying machine learning, anomaly detection, or AI-powered tools to security use cases. Understanding of AI/ML model development, tuning, and evaluation.

Detection Engineering Expertise: Proven track record of creating high-quality detection content using SIEM platforms (Splunk, Azure Sentinel, Chronicle), EDR solutions (CrowdStrike, Microsoft Defender), and cloud security tools.
Automation & Scripting Proficiency: Strong programming skills in Python (required), with experience in PowerShell or Bash. Ability to build detection pipelines and automation frameworks.
Technical Depth: Hands-on experience with SOAR platforms, detection-as-code frameworks, log analysis, and data correlation techniques.
MITRE ATT&CK Mastery: Expert-level understanding of the MITRE ATT&CK framework and its application to detection engineering and threat modeling.
Analytical Mindset: Strong problem-solving skills with the ability to analyze complex data sets, identify patterns, and translate findings into detection logic.

Good to Have

Certifications: GIAC Certified Detection Analyst (GCDA), GIAC Cyber Threat Intelligence (GCTI), AWS Certified Security Specialty, Azure Security Engineer Associate, or equivalent.
Experience with threat intelligence platforms (TIPs) and threat hunting methodologies.
Knowledge of adversary emulation tools (Atomic Red Team, Caldera,etc.).
Familiarity with data science tools and frameworks (Jupyter, pandas, scikit-learn).
Contributions to open-source detection content repositories (Sigma rules, detection

rules, etc.).

If required for this role, you will:

Complete security & privacy literacy and awareness training during onboarding and annually thereafter
Review (initially and annually thereafter), understand, and adhere to Information Security/Privacy Policies and Procedures such as (but not limited to):

> Data Classification, Retention & Handling Policy

> Incident Response Policy/Procedures

> Business Continuity/Disaster Recovery Policy/Procedures

> Mobile Device Policy

> Account Management Policy

> Access Control Policy

> Personnel Security Policy

> Privacy Policy

Saviynt is an amazing place to work. We are a high-growth, Platform as a Service company focused on Identity Authority to power and protect the world at work. You will experience tremendous growth and learning opportunities through challenging yet rewarding work which directly impacts our customers, all within a welcoming and positive work environment. If you're resilient and enjoy working in a dynamic environment you belong with us!

Saviynt is an equal opportunity employer and we welcome everyone to our team. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Apply Now

Refine Your Search

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