<p>We are looking for an experienced Cyber Security Engineer to lead and manage the daily operations of our cybersecurity program in the North Dallas area. This role requires a proactive individual with technical expertise to drive threat detection, incident response, vulnerability management, and patching initiatives across a hybrid cloud environment. If you are passionate about fostering innovation and ensuring robust security measures, this position offers an excellent opportunity to make a significant impact.</p><p><br></p><p>Responsibilities:</p><p>• Lead and oversee the Cybersecurity Operations team, ensuring effective management of analysts, incident responders, and vulnerability specialists.</p><p>• Implement and monitor threat detection and response tools, including CrowdStrike Falcon Complete, Rapid7 InsightIDR, and Proofpoint.</p><p>• Manage third-party patching strategies and execution, evaluating tools such as Patch My PC and Microsoft Intune.</p><p>• Conduct vulnerability scanning, prioritization, and remediation processes to safeguard enterprise systems.</p><p>• Develop and maintain operational playbooks and standard operating procedures aligned with industry standards like ISO 27001.</p><p>• Collaborate with IT, DevOps, and application teams to ensure secure software deployments and timely updates.</p><p>• Track and analyze performance metrics to assess operational efficiency and identify areas for improvement.</p><p>• Support compliance audits and risk assessments to maintain regulatory standards.</p><p>• Mentor and guide team members to cultivate a culture of accountability and continuous innovation.</p>
<p>We are seeking a highly skilled and experienced Senior Cloud Engineer with deep expertise in Google Cloud Platform (GCP) and Google Kubernetes Engine (GKE). The ideal candidate will play a critical role in designing, implementing, and maintaining cloud infrastructure and services, while collaborating closely with development and engineering teams to ensure scalable, secure, and compliant cloud solutions.</p><p><br></p><p>Key Responsibilities:</p><ul><li>Design, deploy, and manage scalable cloud infrastructure on Google Cloud Platform.</li><li>Lead and support GKE integration efforts with development and engineering teams.</li><li>Implement and manage GCP services including Compute Engine, Cloud Storage, BigQuery, and Cloud Functions.</li><li>Develop and maintain infrastructure using Infrastructure-as-Code (IaC) tools such as Terraform or Ansible.</li><li>Automate cloud operations and workflows using Python, Bash, or PowerShell.</li><li>Apply GitOps principles to manage infrastructure as code and ensure version control and traceability.</li><li>Build and maintain CI/CD pipelines using tools like Bitbucket and Jenkins.</li><li>Ensure cloud environments adhere to security best practices, compliance requirements, and Windows Server/Active Directory configurations.</li><li>Monitor system performance, troubleshoot issues, and optimize cloud resources for cost and efficiency</li></ul><p><br></p>
<p>We are looking for a visionary Data Scientist to lead the development of cutting-edge machine learning systems that enhance autonomous threat detection across decentralized networks. This role requires a strategic leader who can architect innovative solutions, build a high-performing team, and partner across departments to embed artificial intelligence into core system designs. If you are passionate about leveraging AI to create secure, scalable, and adaptive systems, this opportunity offers a chance to make a transformative impact.</p><p><br></p><p>Responsibilities:</p><p>• Design and implement machine learning systems to detect anomalies, identify malicious activities, and adapt to evolving threat vectors within decentralized network environments.</p><p>• Develop real-time intelligence pipelines that process large-scale data signals into actionable insights with speed and accuracy.</p><p>• Lead the end-to-end lifecycle of AI model development, including designing, training, testing, and deploying models tailored for security and anomaly detection.</p><p>• Collaborate with infrastructure and platform teams to optimize data telemetry, build labeled datasets, and scale data quality across the organization.</p><p>• Partner with cross-functional teams, including Security, Platform, and Network Engineering, to integrate AI solutions seamlessly into system architecture.</p><p>• Recruit, mentor, and manage a team of elite machine learning engineers and research scientists, fostering innovation and excellence in a dynamic environment.</p><p>• Stay ahead of emerging threats by analyzing attack patterns, adversarial behaviors, and cutting-edge detection methods to refine defenses.</p><p>• Architect scalable AI and inference systems that balance performance, privacy, and security while adapting to evolving demands.</p><p>• Translate research innovations into production-grade systems that enhance threat detection and response capabilities.</p>
We are looking for a skilled Business Intelligence (BI) Engineer to lead the development and delivery of advanced BI platforms for our organization. This role involves driving architectural decisions, managing cloud migrations, and optimizing data solutions to support business needs. The ideal candidate will have a passion for data, an ability to collaborate with stakeholders, and a commitment to fostering a high-performing team.<br><br>Responsibilities:<br>• Oversee and enhance existing BI platforms, including environments utilizing Amazon S3, Redshift, Lambda, and Power BI, as well as EC2-based BI stacks.<br>• Lead the migration of on-premises BI solutions to Azure Data Factory, Synapse Analytics, OneLake, and other Microsoft Fabric services.<br>• Design and develop robust data pipelines, semantic models, and interactive reports to meet diverse business requirements.<br>• Implement industry best practices for data modeling, performance optimization, and security across all BI solutions.<br>• Define and manage project scopes, timelines, and priorities to ensure successful delivery of multiple BI initiatives.<br>• Collaborate with business stakeholders to gather requirements, scope projects, and translate business needs into technical solutions.<br>• Facilitate design reviews, provide end-user training, and conduct demo sessions for new BI features.<br>• Mentor and guide BI developers and analysts, conducting code reviews and sharing knowledge to enhance team capabilities.<br>• Establish and promote standards for data governance, testing procedures, and documentation across all BI activities.
