<p>We are looking for a Network Engineer to join a financial institution in Houston, Texas in a contract-to-permanent capacity. This role blends hands-on network support with forward-looking engineering work, requiring someone who can strengthen daily operations while helping shape a more resilient and standardized environment. The position will play a key role in improving connectivity across branch and data center locations, enhancing performance, and contributing to long-term infrastructure design decisions.</p><p><br></p><p>Responsibilities:</p><p>• Resolve complex routing and connectivity issues affecting branch offices, corporate locations, and data center environments.</p><p>• Review and refine route tables, path selection, and next-hop configuration to support stable and efficient traffic flow.</p><p>• Administer and enhance network infrastructure built on Fortinet security platforms, Cisco Nexus hardware, and software-defined WAN technologies.</p><p>• Partner in the design and execution of network improvement initiatives, including standardization, modernization, and architectural updates.</p><p>• Support multi-site resiliency planning by evaluating data center connectivity options and contributing to disaster recovery network design.</p><p>• Manage operational network support while also driving project-based engineering efforts in a fast-moving IT environment.</p><p>• Create and maintain clear technical documentation, network diagrams, and process standards to improve consistency across the organization.</p><p>• Assess existing network architecture and recommend scalable redesign strategies when business or technical needs require broader changes.</p>
<p><strong>Location:</strong> Onsite</p><p><strong>Start Date:</strong> September</p><p>Overview</p><p>We are seeking a Network Engineer for a short-term project engagement. The ideal candidate will have hands-on experience supporting enterprise network infrastructure, network monitoring, and troubleshooting. Candidates should possess experience with at least <strong>two of the following key technologies</strong>: Meraki, Nagios, Zabbix, or Zeek.</p>
We are looking for a Data Engineer to support scalable data solutions for a long-term contract opportunity in The Woodlands, Texas. This role focuses on designing and optimizing data pipelines, integrating large-scale data sources, and enabling reliable access to critical business information. The ideal candidate will bring strong hands-on experience with modern big data technologies and a practical approach to building efficient ETL workflows.<br><br>Responsibilities:<br>• Build, maintain, and enhance robust data pipelines to process large volumes of structured and unstructured information.<br>• Develop ETL workflows that transform raw data into reliable datasets for analytics, reporting, and operational use.<br>• Use Python and Apache Spark to engineer high-performance data processing solutions across distributed environments.<br>• Work with Apache Hadoop ecosystems to manage storage and support scalable data operations.<br>• Integrate streaming and event-driven data using Apache Kafka to improve data availability and timeliness.<br>• Monitor data workflows, troubleshoot processing issues, and implement improvements that increase reliability and efficiency.<br>• Collaborate with technical and business stakeholders to understand data needs and translate them into practical engineering solutions.<br>• Document pipeline architecture, data flow logic, and operational procedures to support maintainability and team knowledge sharing.
We are looking for a Software Developer to join a contract opportunity in Houston, Texas. This role is ideal for a hands-on, detail-oriented individual who can build Microsoft Copilot and Power Platform solutions while also advising stakeholders on practical, scalable ways to improve the platform landscape. The position offers broad exposure across application development, platform administration, and business-facing collaboration in a fast-moving enterprise environment.<br><br>Responsibilities:<br>• Create, maintain, and improve Microsoft Copilot agents along with Power Platform solutions that support business operations.<br>• Design and extend both model-driven and canvas applications to meet user needs and streamline internal processes.<br>• Connect solutions across Microsoft tools and related enterprise platforms, including ServiceNow and Dynamics environments.<br>• Evaluate the current Power Platform setup, identify areas for better governance, and recommend improvements for organization and long-term scalability.<br>• Analyze existing legacy applications and advise whether they should be retired, redesigned, or transitioned into a more structured environment.<br>• Collaborate with adjacent teams such as BI and Microsoft 365 to align platform capabilities and support shared objectives.<br>• Develop interactive, workflow-based applications that collect information, guide user activity, and produce meaningful business outputs.<br>• Partner directly with stakeholders in departments such as Legal, HR, and commercial functions to translate business goals into effective technical solutions.<br>• Promote platform adoption by educating users on capabilities, recommended practices, and appropriate use cases across the organization.<br>• Contribute to enterprise application initiatives, including Dynamics 365-related modernization or migration efforts when needed.
We are looking for an Artificial Intelligence (AI) Engineer to design and enhance intelligent solutions with a strong emphasis on computer vision and machine learning. This role focuses on building practical AI capabilities that support detection-driven applications while working collaboratively in a fully remote environment. The position is based in Houston, Texas, and is ideal for someone who combines technical depth with the ability to turn complex models into reliable business solutions.<br><br>Responsibilities:<br>• Design, develop, and refine AI models that support computer vision and detection-focused use cases.<br>• Build and optimize machine learning pipelines for training, validation, deployment, and performance monitoring.<br>• Apply TensorFlow to create scalable models that deliver accurate and efficient results in production environments.<br>• Partner with cross-functional stakeholders to translate business objectives into effective AI-driven solutions.<br>• Evaluate model behavior using appropriate metrics and improve outcomes through testing, tuning, and iteration.<br>• Prepare, clean, and structure image and related datasets to improve model quality and consistency.<br>• Contribute to the integration of AI capabilities with tools and workflows that may include Microsoft Copilot-enabled environments.<br>• Document technical approaches, model assumptions, and implementation details to support maintainability and knowledge sharing.