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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