Souhrn
Role purpose:
Build a robust, AI-native cloud detection pipeline that improves correlation and investigation efficiency across multi-cloud environments. Engineer fragmented cloud telemetry into clear, actionable security outcomes with AI embedded throughout the detection engineering lifecycle. A multidimensional engineering role at the intersection of automation, cloud architecture, threat behavior analysis, detection engineering supporting analyst investigation workflows.
About the Role
Key Responsibilities
- Design and operate an AI-native cloud detection pipeline that aggregates, correlates, enriches, deduplicates and prioritizes signals before analyst investigation
- Build and tune high-fidelity detections that improve coverage across cloud control-plane, data plane and management-plane activity, identity and access, network, container and Kubernetes and security posture.
- Use lower-fidelity and behavioral signals as investigation context, while ensuring known high-confidence detections are consistently escalated for security investigation
- Integrate and correlate telemetry from WIZ, Microsoft Defender for Cloud, AWS GuardDuty, Microsoft Sentinel and other cloud-native or CNAPP sources . Apply hands-on Wiz experience to interpret posture findings, attack paths, identity and exposure context, cloud events, runtime findings and threat detections and improve detection workflows
- Develop behavioral baselines and entity-centric analytics across users, IP addresses, identities and cloud resources . Create reusable dashboards, dynamic lookups and enrichment patterns enabling rapid pivots / drilldowns from an alert to related resource, identity, inventory and historical data
- Own the detection lifecycle from threat hypothesis and telemetry assessment through development, peer review, testing, deployment, tuning, documentation and retirement
- Embed AI across the detection lifecycle to accelerate detection creation and tuning, while ensuring engineering controls and human judgment govern the outcomes
- Finetune detections using historical data, controlled simulations, purple-team exercises, attack emulation and lessons learned from incidents and threat hunts
- Use detection-as-code practices, Git, CI/CD and automated testing to deliver controlled, repeatable and auditable content changes . Partner with Threat Hunting and Response, CSOC analysts, cloud platform teams, data onboarding, threat intelligence and automation teams to close visibility gaps and operationalize detections
- Automate enrichment and triage using Python, APIs, SOAR workflows and AI-assisted approaches, with appropriate human oversight for security decisions . Measure and improve detection coverage, precision, false-positive rate, investigation volume, alert latency, data quality and analyst effort
Required Qualifications
- 8+ years of hands-on experience in cloud security, detection engineering, security analytics, threat hunting, incident response or security platform engineering
- Working knowledge of Azure and AWS security architectures, respective cloud domains and workloads
- Understanding of cloud telemetry and logging sources such as Azure Activity and Diagnostic logs, Entra ID logs, AWS CloudTrail, AWS CloudWatch and GuardDuty findings
- Experience in working with CNAPP bundles or developing and tuning detections in Wiz, Vega or cloud-native security platforms
- Proficiency in KQL and at least one scripting or programming language such as Python. CloudShell understanding is expected
- Familiarity with AI/LLM-assisted security investigation, agentic workflows or machine-learning approaches to signal enrichment and triage . Understanding of MITRE ATT&CK, MITRE ATLAS, threat-informed defense, entity mapping, correlation, enrichment and alert prioritization
- Ability to investigate complex datasets, distinguish true security risk from operational noise and communicate engineering decisions clearly . Experience collaborating across security operations, cloud engineering and platform teams in a global environment.
- Experience with detection-as-code, Sigma or YAML-based content, Git, CI/CD, unit/integration testing and safe deployment or rollback practices . Experience with Infrastructure as Code and automation tools such as Terraform, ARM/Bicep, CloudFormation or equivalent. Background in threat intelligence, purple teaming, red teaming, incident response or cloud threat research
Desirable Requirement:
- Relevant certifications such as AZ-500, AWS Certified Security - Specialty, GIAC Cloud Security certifications, CCSP or equivalent practical expertise.
- GIAC Cloud Forensics Responder (GCFR)
You’ll receive: You can find everything you need to know about our benefits and rewards in the Novartis Life Handbook. https://www.novartis.com/careers/benefits-rewards
Commitment to Diversity and Inclusion:
Novartis is committed to building an outstanding, inclusive work environment and diverse teams' representative of the patients and communities we serve.
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Read our handbook (PDF 30 MB)
Accessibility and accommodation
Novartis is committed to working with and providing reasonable accommodation to individuals with disabilities. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the recruitment process, or in order to perform the essential functions of a position, please send an e-mail to [email protected] and let us know the nature of your request and your contact information. Please include the job requisition number in your message.