<p>We are seeking a hands-on Cloud Infrastructure Engineer to support, manage, and optimize infrastructure across multi-cloud and on-premises environments. This role will work with AWS, Microsoft Azure, Google Cloud Platform (GCP), and Oracle Cloud Infrastructure (OCI), supporting day-to-day cloud operations, infrastructure provisioning, performance, security, connectivity, capacity management, and automation.</p><p><br></p><p>The ideal candidate has a strong traditional IT infrastructure foundation combined with hands-on cloud experience. This person should be comfortable working across multiple cloud platforms rather than being limited to a single provider.</p><p><br></p><p>Key Responsibilities</p><ul><li>Provision, configure, manage, and decommission virtual machines, containers, storage, networking, and other cloud resources.</li><li>Support infrastructure across AWS, Azure, GCP, and OCI environments.</li><li>Establish and maintain asset tagging and resource organization standards to support inventory management, reporting, governance, and cost visibility.</li><li>Monitor cloud infrastructure performance and troubleshoot availability, utilization, and performance issues.</li><li>Perform resource optimization and right-sizing based on capacity, utilization, performance, and business requirements.</li><li>Configure new cloud environments for departments and business units, including resource organization, networking, access, security, and governance.</li><li>Apply general cloud security best practices, including identity and access management, permissions, network security, and resource protection.</li><li>Support and troubleshoot VPNs, networking, DNS, routing, and connectivity between cloud and on-premises environments.</li><li>Provide infrastructure-level support to development teams, including troubleshooting issues involving APIs, authentication, connectivity, and cloud services.</li><li>Perform capacity planning, utilization monitoring, and infrastructure reporting across cloud environments.</li><li>Support both Windows and Linux infrastructure.</li><li>Identify repetitive administrative processes and automate routine infrastructure tasks.</li><li>Develop scripts and automation using technologies such as PowerShell, Bash, and Python.</li><li>Troubleshoot infrastructure issues spanning cloud, networking, operating systems, and applications.</li><li>Maintain documentation of cloud configurations, processes, procedures, and infrastructure standards.</li></ul><p><br></p>
We are looking for a Software Engineer to join a services team in Plano, Texas, in a contract capacity with the potential for a permanent role. This role focuses on building and supporting cloud-native applications that rely on scalable, event-driven microservices and modern engineering practices. The ideal candidate brings strong experience with distributed systems, cloud platforms, and collaborative delivery in a fast-moving environment.<br><br>Responsibilities:<br>• Create and enhance cloud-native microservices that support high availability, strong performance, and long-term scalability.<br>• Develop event-driven application components and integrate messaging patterns through publish-and-subscribe architectures.<br>• Build, package, and manage services with container technologies while supporting orchestration in Kubernetes environments.<br>• Partner with DevOps and infrastructure teams to streamline deployments, strengthen CI/CD workflows, and improve production reliability.<br>• Investigate and resolve issues affecting system responsiveness, uptime, and application stability across distributed services.<br>• Work with cross-functional stakeholders to translate business needs into technical solutions and deliver well-designed software increments.<br>• Participate in peer code reviews, share engineering best practices, and provide guidance to less experienced developers.<br>• Contribute to production support efforts by diagnosing incidents and implementing sustainable fixes.<br>• Evaluate tools, frameworks, and architectural approaches, offering clear technical rationale for design decisions.<br>• Maintain awareness of emerging trends in cloud engineering, microservices, and software delivery practices.
<p>This distribution and manufacturing organization is seeking a Systems Engineer to join a growing technology team supporting ERP platform enhancements, cybersecurity initiatives, systems integrations, and enterprise applications. This role will play a key part in an upcoming ERP release, helping drive development, testing, user enablement, and ongoing system improvements across the business.</p><p><br></p><p><strong>POSITION TITLE:</strong> Systems Engineer</p><p><strong>LOCATION:</strong> Irving, TX (Hybrid, 3 days onsite)</p><p><strong>SALARY:</strong> $130,000 - $140,000</p><p><br></p><p><strong>RESPONSIBILITIES</strong></p><ul><li>Support and enhance a proprietary ERP environment, including development, testing, troubleshooting, and user training activities related to upcoming system releases.</li><li>Design, build, and maintain integrations between ERP, enterprise applications, security platforms, and third-party business systems.</li><li>Administer and support Microsoft 365 technologies including Teams, Outlook, OneDrive, SharePoint, Defender, Entra ID, Enterprise Applications, and related services.</li><li>Develop and maintain automation, scripting, and API-based solutions utilizing REST APIs, Microsoft Graph API, Python, and other programming tools.</li><li>Partner with infrastructure and cybersecurity teams to strengthen system security, identity management, endpoint protection, and network integrations.</li><li>Participate in application lifecycle activities including requirements gathering, program flow analysis, SDLC processes, testing, deployment, and production support.</li><li>Provide rotational on-call support approximately one weekend per month and assist with issue resolution across multiple technology domains.</li></ul><p><br></p>
We are looking for a Cyber Security Engineer to support and strengthen enterprise security operations in Plano, Texas. This permanent opportunity is ideal for a hands-on security specialist who can blend engineering expertise with incident response, data protection, and infrastructure security. The role will contribute to the design of resilient security controls, advance detection and response capabilities, and partner across teams to improve overall cyber defense maturity.<br><br>Responsibilities:<br>• Build, deploy, and refine enterprise security technologies that protect networks, endpoints, cloud resources, and sensitive information.<br>• Drive technical ownership of core security platforms such as secure access solutions, firewalls, SIEM tools, endpoint security, and related defensive controls.<br>• Establish and maintain security architecture guidelines, technical standards, and hardened configuration practices aligned with Zero Trust principles.<br>• Lead complex cyber investigations, coordinate response activities, perform threat hunting, and determine root causes for security events.<br>• Create and enhance detection content, correlation logic, and automated workflows to improve visibility and speed of response across security systems.<br>• Direct data protection and insider risk initiatives, including policy development and tuning across Microsoft 365, endpoints, and cloud environments.<br>• Review network security designs and configuration changes, offering expert guidance on segmentation, VPNs, secure access, and broader infrastructure protection strategies.<br>• Oversee vulnerability assessment efforts, prioritize remediation plans, support audit readiness, and help address compliance obligations across applicable frameworks.<br>• Mentor less experienced team members while communicating technical risks, recommendations, and project updates to business and technology stakeholders.<br>• Maintain clear documentation such as standards, procedures, runbooks, and architecture artifacts while identifying opportunities to improve automation and operational efficiency.
<p><strong>CYBERSECURITY ENGINEER</strong></p><p><strong> </strong></p><p><strong>SUMMARY</strong></p><p>An established organization is seeking a Cybersecurity Engineer to strengthen the security posture of enterprise systems and infrastructure. This role will focus on threat detection, vulnerability management, incident response, and security architecture initiatives.</p><p><strong> </strong></p><p><strong>POSITION TITLE:</strong> Cybersecurity Engineer</p><p><strong>LOCATION:</strong> Dallas-Fort Worth, TX (Hybrid)</p><p><strong>SALARY:</strong> $115,000 - $155,000</p><p><strong> </strong></p><p><strong>RESPONSIBILITIES</strong></p><ul><li>Implement and maintain security controls across servers, endpoints, cloud environments, and networks.</li><li>Investigate security alerts and support incident response activities.</li><li>Perform vulnerability assessments and coordinate remediation efforts.</li><li>Support security monitoring through SIEM and endpoint detection platforms.</li><li>Assist with security architecture reviews and compliance initiatives.</li></ul>
We are looking for a Senior Data Engineer to develop and optimize enterprise data systems that support analytics and digital solutions. In this role, you will design and implement robust data architectures, ensuring seamless data integration and transformation processes across the organization. Your expertise will drive the creation of reliable pipelines and scalable infrastructure, enabling advanced analytics and machine learning capabilities.<br><br>Responsibilities:<br>• Design and implement scalable data pipelines using Databricks, Spark, and Delta Lake to support enterprise-level analytics.<br>• Develop and maintain efficient data models tailored for AI, analytics, and operational systems.<br>• Lead Master Data Management initiatives to establish unified and accurate data records across platforms.<br>• Create batch and near-real-time data processing workflows for structured and semi-structured datasets.<br>• Collaborate with AI and software development teams to ensure delivery of high-quality datasets for machine learning.<br>• Define and enforce data architecture standards, ensuring scalability, reliability, and governance.<br>• Troubleshoot and optimize data systems to maintain performance and reliability in complex environments.<br>• Partner with cloud and IT teams to integrate modern data platforms and ensure seamless functionality.
We are looking for a Data Engineer to join a Financial Services team in Plano, Texas on a contract basis with the potential for a permanent role. This role is focused on designing and delivering reliable data pipelines in a cloud-first environment, with Snowflake serving as a central platform for analytics and data consumption. The position offers a balanced mix of new development and targeted optimization, with an emphasis on improving data quality, operational visibility, and scalable processing capabilities.<br><br>Responsibilities:<br>• Design, build, and deploy end-to-end data pipelines with Snowflake as a primary data platform.<br>• Create new ingestion and transformation workflows while resolving issues affecting existing pipeline performance and reliability.<br>• Support streaming data integration using Apache Kafka to enable timely and scalable data movement.<br>• Strengthen observability across data workflows by improving monitoring, alerting, and pipeline transparency.<br>• Enhance data quality practices through validation, testing, and proactive issue identification.<br>• Modernize data architecture by reducing dependency on legacy processes and addressing technical debt.<br>• Contribute to engineering standards by applying disciplined development practices, code quality measures, and repeatable delivery methods.<br>• Help expand CI/CD and testing capabilities by promoting more consistent automation across build and release activities.<br>• Use AI-assisted development tools to accelerate coding, testing, and documentation where appropriate.
We are looking for a Data Engineer to join a growing team and contribute to the delivery of reliable, analytics-ready data solutions. This contract opportunity with potential for a permanent role is ideal for someone who enjoys building scalable data pipelines, improving data models, and partnering with technical and business stakeholders to support reporting, self-service analytics, and data science. The role offers the chance to work hands-on with Databricks, Python, PySpark, SQL, and modern data engineering practices in a collaborative environment focused on quality and performance.<br><br>Responsibilities:<br>• Build, maintain, and enhance data pipelines that support dependable data availability for analytics and reporting needs.<br>• Collaborate with data engineering leaders to troubleshoot defects, resolve pipeline issues, and improve overall platform stability.<br>• Develop transformation logic using Python, PySpark, SQL, and Databricks to prepare clean, usable datasets for downstream consumers.<br>• Design and refine data models that improve usability, consistency, and performance across reporting and analytical workloads.<br>• Apply layered data architecture principles, including Bronze, Silver, and Gold structures, to organize and manage data effectively.<br>• Establish and follow engineering standards for validation, testing, monitoring, and documentation to strengthen data quality and maintainability.<br>• Optimize processing and query performance to support efficient data delivery at scale.<br>• Work with business and technical partners to translate data needs into practical engineering solutions that support trusted insights.
We are looking for a Data Scientist to join a healthcare-focused analytics team in Texas, where you will turn complex data into practical insights and scalable solutions. This contract position with the potential to become permanent is ideal for someone who combines strong statistical knowledge with curiosity, business acumen, and a passion for solving meaningful problems. You will work closely with technical and business partners to design predictive models, improve data quality, and communicate findings that support informed decision-making.<br><br>Responsibilities:<br>• Transform large, complex datasets into actionable insights by exploring trends, identifying patterns, and uncovering opportunities that support business goals.<br>• Build, test, and refine machine learning models and predictive solutions that improve decision-making and deliver measurable value.<br>• Prepare structured and unstructured data for analysis through cleansing, validation, and preprocessing to ensure reliability and usability.<br>• Strengthen data acquisition practices by recommending improvements that capture the information needed for advanced analytics initiatives.<br>• Partner with business leaders, analysts, and IT teams to define problems, evaluate options, and shape data-driven strategies.<br>• Communicate analytical findings through clear narratives, presentations, and visualizations that make complex results easy to understand.<br>• Create impactful dashboards and visual tools that highlight performance gaps, emerging opportunities, and areas for operational improvement.<br>• Facilitate discussions with stakeholders to gather requirements, iterate on analytical approaches, and align solutions with business needs.<br>• Handle sensitive information with discretion while supporting a culture of continuous improvement, accountability, and evidence-based decision-making.