Cyber Security Engineer III - 1612
Hybrid · Hyderabad, Telangana, India
Job Summary
Role Overview: Cybersecurity Engineer III focusing on cloud security, Python-based automation, and AI-driven security capabilities. Design, automate, and enhance security controls across cloud-native environments (AWS) with emphasis on threat detection, AI/LLM considerations, and integration with SIEM/SOAR/EDR. Collaborate with Cloud, DevOps, and Security Operations teams to embed security into modern architectures, improving detection, response, and resilience through automation and AI. Key responsibilities include designing and maintaining AWS security controls, developing Python automation for security monitoring and incident response, integrating AI-driven security analytics, building integrations with SIEM/SOAR/EDR, automating vulnerability management and compliance checks, conducting threat modelling and risk assessments for cloud workloads, enabling DevSecOps and CI/CD security controls, supporting incident response and threat hunting, and documenting security designs and playbooks. Required skills include 4+ years in cybersecurity/cloud security, strong AWS experience, advanced Python, experience with SIEM/SOAR/EDR, MITRE ATT&CK knowledge, hybrid/cloud-native environments, analytical/problem-solving skills, and AI/ML concepts for security use cases; familiarity with Claude or other LLM platforms is a plus. Certifications such as CISSP/CCSP/AWS Security Specialty/GCIH are welcomed.
Required Qualifications
- 4+ years of experience in Cybersecurity Engineering, Cloud Security, or Security Operations
- Strong hands-on experience securing AWS (IAM, networking, logging, encryption, monitoring)
- Advanced Python skills for automation, APIs, and data analysis
- Experience with SIEM, SOAR, EDR, and cloud security platforms
- Solid understanding of incident response, threat detection, and MITRE ATT&CK
- Experience working in hybrid or cloud-native enterprise environments
- Strong analytical and problem-solving skills
- AI & Automation Focus
- Practical understanding of AI/ML concepts applied to cybersecurity use cases
- Experience using AI for: Alert correlation and prioritisation, Anomaly and behaviour-based detection, Threat intelligence enrichment
- Familiarity with LLM security considerations, including data protection and prompt safety
- Good to Have Qualifications
- Hands-on experience with Claude (Anthropic) or other LLM platforms in security use cases
- Experience securing or integrating AI/LLM-powered applications
- Knowledge of CSPM, CWPP, and CIEM tools
- Exposure to Kubernetes and container security
- Infrastructure-as-Code experience (Terraform, CloudFormation)
- Security certifications such as CISSP, CCSP, AWS Security Specialty, GCED, or GCIH
- Why Join Us
- Work on modern cloud and AI-driven security challenges
- Opportunity to shape automation-first and intelligence-led security
- Collaborate with experienced security, cloud, and engineering teams
- High impact role with visibility across the organisation
- GHX: It's the way you do business in healthcare
- Global Healthcare Exchange (GHX) enables better patient care and billions in savings for the healthcare community by maximizing automation, efficiency and accuracy of business processes.
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