Senior Info. Security Engineer

  • Chandler, AZ
  • Posted 2 days ago | Updated 2 days ago

Overview

Hybrid
$60 - $65
Contract - W2
Contract - 12 Month(s)

Skills

Prisma
RQL
Archer
Cloud
security

Job Details

Seeking an experienced Senior Info. Security Engineer / Information Security Engineer 4 Contingent to join our Cloud Workload Lifecycle Security (CWLS) team, working on support, engineering and automation specific to Palo Alto Networks Prisma Cloud Enterprise, with primary focus on container security/Cloud Workload Protection (CWP) modules.
In this job you will:
Actively support and perform engineering work for WF s implementation of Prisma Cloud Enterprise or PCE (SaaS hosted), ensuring effective delivery of product roadmap
Design/Develop automation for various PCE engineering and support processes, with primary focus on Container Security/Cloud Workload Protection areas
Leverage your deep expertise maintaining and automating Prisma Defender agent deploys/monitoring for Public & Private Cloud Kubernetes/Containers envs. (Tanzu, AKS, GKE & OpenShift/OCP)
Generate design diagrams using draw.io or Visio and documentation using confluence.
Perform upgrades, maintenance and configuration management on PCE Consoles
Respond to incidents/troubleshoot issues with the SaaS and deployed Defender agents for PCE
Provide professional expertise relating to resolution of host and application vulnerability false positive claims and guiding partner teams in resolving vulnerabilities & compliance issues
Be a motivated self-starter quick to adapt and stay focused on delivering results in a fast-paced environment with aggressive deadlines
Share your expertise and knowledge with teammates - effectively demonstrating a strong teamwork ethic, while also being successful working independently
Required Qualifications:
4+ Years Experience in Software Engineering, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
4+ years of Information Security Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
2+ years Prisma Cloud Enterprise (PCE) experience with a focus on engineering support, admin., configuration management and automation
1+ years Prisma Cloud Enterprise (PCE) experience supporting/deploying Prisma Defender agent, preferably at scale on Kubernetes (public and private cloud) platforms
4+ years of experience in GitHub/Bitbucket or any other version control system.
1+ years' experience with AI/ML and GenAI tools or platforms (e.g., CoPilot, Azure AI, Google Vertex AI)
2+ years experience with programmatic interaction with RESTful APIs extracting, manipulating and processing of JSON data with Python/PowerShell/Bash
Proficiency in Python libraries: NumPy, Pandas, FastAPI, etc
2+ years experience working with Containers Orchestration platforms (Kubernetes preferred), microservice architectures and engineering
2+ years experience with 2 or more of these major cloud service providers (Google Cloud Platform, Azure, AWS)
1+ years experience with CI/CD (Harness, Jenkins, and GitHub Actions) security and/or dev sec ops.
Intermediate to advanced cloud security knowledge of services, workloads and hardening practices.
Desired Qualifications:
1+ years of experience with relational databases and SQL queries
2+ years of Linux experience
Familiarity with of various cloud security and related risk frameworks (CIS, NIST, COBIT, Cloud Security Alliance (CSA), FedRAMP, etc.)
Knowledge and understanding of diverse platforms and operating systems, including current and emerging technologies
Splunk Cloud experience, including writing queries
Agile experience
Strong verbal, written, and interpersonal communication skills
CISSP Certification
Microsoft Azure and/or Google Cloud Certifications

EEO: Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.