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Requirement details:
Internal job ID:TWK_3145
Network Security Engineer
State of Texas
Austin, TX #Remote
Note:
1) Teleworking is currently allowed for this contract position with management approval (within the Texas state) 2) Local to Texas profiles only
Interview Mode : Team Meetings ( In-person interview may be required based on client needs )
- Active Texas DL & Linked Id Must for submission
- Please do not submit candidates who are currently out of state and are planning to move to Texas. Candidates must already reside in Texas.
Public Sector (State / Federal / Local Govt.) Client Experience profiles preferred
EXP: 14+ Years Must
Required Skills:
Certifications: GSEC, CEH, CISA, CCSP
Cloud certifications such as AWS Solutions Architect or Cloud Security certifications
Job Description:
The Network Security Engineer is responsible for designing, implementing, and maintaining security controls that protect cloud infrastructure, cloud-native applications, and artificial intelligence (AI) and machine learning (ML) platforms. The role focuses on reducing risk, ensuring compliance, and enabling secure innovation in cloud and AI environments.
Key Responsibilities
- Design, implement, and manage security controls for cloud platforms, including infrastructure-as-a-service (IaaS), platform-as-a-service (PaaS), and cloud-native workloads
- Secure AI and ML systems, including model development environments, training pipelines, data pipelines, APIs, and inference services
- Assess and mitigate risks related to cloud misconfigurations, identity and access management, data exposure, and insecure APIs
- Implement and maintain cloud security tooling such as CSPM, CWPP, CIEM, container security, and API security solutions
- Collaborate with engineering, DevOps, data science, and AI teams to embed security into CI/CD pipelines and ML workflows (DevSecOps / MLOps)
- Conduct security architecture reviews, threat modeling, and risk assessments for cloud and AI initiatives
- Define and enforce security standards, guardrails, and best practices for cloud and AI environments
- Monitor cloud and AI environments for security events, investigate alerts, and support incident response activities
- Using TTP Add/Modify Splunk alerts to triage notables
- Ensure protection of sensitive data used in AI systems through encryption, key management, data loss prevention, and privacy controls
- Support compliance with regulatory, contractual, and internal security requirements (e.g., SOC 2, ISO 27001, NIST, GDPR)
- Stay current on emerging cloud and AI threats, vulnerabilities, and industry best practices