<p><br></p><p>Software Platform Engineer will design, build, and maintain a core Data & Machine Learning platform.</p><p><br></p><p>Platform Development: Design and implement new features for our AWS and Databricks-based platform, staying current with industry trends and advancements in AI. Core Component Implementation: Test and integrate central platform components that support our technology stack and serve tenants across the organization. Collaboration: Partner with other engineering teams to identify and deliver platform enhancements that solve specific business problems. Maintain Excellence: Uphold strict security protocols, compliance controls, and architectural principles in all aspects of your work.</p><p><br></p><p><br></p>
We are looking for an entry-level Software Engineer to join our dynamic team in Spring, Texas. This role offers an exciting opportunity to contribute to the development and enhancement of cutting-edge software applications. You will work closely with a collaborative team to design, implement, and maintain innovative solutions.<br><br>Responsibilities:<br>• Develop and maintain software applications using C# and .NET frameworks.<br>• Collaborate with team members to design and implement user-friendly features using React.js and JavaScript.<br>• Troubleshoot and resolve software issues to ensure optimal functionality.<br>• Participate in code reviews to uphold high-quality standards.<br>• Assist in testing and debugging applications to ensure reliability and performance.<br>• Create and update technical documentation for software projects.<br>• Implement improvements to existing systems based on user feedback.<br>• Stay updated on emerging technologies and industry trends to continuously enhance skills.
<p>As the Software Engineer, you will be responsible for designing and developing automated solutions and system integrations to optimize our business operations. You will be a key player in gathering requirements from non-technical stakeholders, translating them into technical specifications, and ensuring that the delivered solutions meet their needs. You will be responsible for fostering and maintaining strong relationships with stakeholders, ensuring they have confidence in the technology solutions that support their business processes. Your advanced skills in solution design, AWS, and programming languages will be critical to delivering scalable, reliable, and impactful solutions. </p><p><br></p><p><br></p><p>Automation Development: Design, develop, and oversee the maintenance of automation scripts and tools to streamline and optimize business processes.</p><p>Cloud Integration: Architect and manage integrations between various systems and AWS services, ensuring seamless data flow and system interoperability.</p><p>Solution Design: Architect scalable and reliable integration solutions that align with business requirements and technical constraints.</p><p>Testing & Validation: Oversee and participate in the testing of automation and integration solutions to ensure functionality, reliability, and security.</p><p>Documentation: Maintain detailed documentation of automation processes, integration workflows, and system configurations.</p><p>Continuous Improvement: Lead efforts to identify opportunities for process improvements, proposing and implementing innovative automation solutions across the organization.</p><p>Support & Troubleshooting: Provide high-level support for existing automation and integration solutions, troubleshooting issues, and implementing fixes as necessary.</p><p><br></p><p><br></p><p><br></p>
<p>As our portfolio of AI-driven solutions continues to expand, we’re looking for an experienced <strong>Machine Learning Engineer</strong> to join our high-impact data science team. This role offers the opportunity to work across trading, operations, and support functions—delivering production-grade machine learning systems that solve real business problems.</p><p>You’ll collaborate with data scientists, software engineers, and commercial stakeholders to design, build, and deploy models that drive decision-making and innovation. From project scoping to model deployment, you’ll have visibility and influence across the full ML lifecycle.</p><p>🔧 Core Responsibilities</p><ul><li>Act as a thought partner to commercial teams, identifying high-value opportunities for AI/ML applications</li><li>Lead the design, development, and deployment of machine learning systems, with a focus on <strong>NLP</strong>, <strong>LLMs</strong>, and <strong>Generative AI</strong></li><li>Prioritize projects based on business impact and evolving market conditions</li><li>Collaborate with cross-functional teams to gather requirements and align solutions with strategic goals</li><li>Integrate ML solutions—including GenAI—into existing platforms to ensure seamless user experiences and scalable adoption</li><li>Participate in code reviews, experiment design, and tooling decisions to maintain high engineering standards</li><li>Share knowledge and mentor colleagues to build machine learning fluency across the organization</li></ul><p><br></p>
We are looking for a highly skilled Network Engineer to join our team in Houston, Texas. In this role, you will act as a senior-level expert, overseeing the design, configuration, and management of enterprise network systems. You will play a crucial part in ensuring seamless operations, providing advanced support, and enhancing security across our organization's network infrastructure.<br><br>Responsibilities:<br>• Design, configure, and deploy network infrastructure including routers, switches, wireless systems, load balancers, and other network devices.<br>• Conduct thorough analysis of network issues and deliver high-level response management to resolve complex problems.<br>• Implement and maintain redundancy and high availability across enterprise connectivity to ensure uninterrupted operations.<br>• Lead efforts to secure network platforms by addressing vulnerabilities and managing patching cycles for hardware and software.<br>• Develop and enforce configuration standards while creating detailed support documentation.<br>• Perform failover testing and ensure changes to network configurations align with change management protocols.<br>• Collaborate with cross-functional teams and customers to develop solutions and troubleshoot network problems.<br>• Provide mentorship to entry level team members and act as the final escalation point for network-related issues.<br>• Manage procurement, implementation, and support of public and private circuits for remote and local networks.<br>• Utilize expert knowledge of firewalls, network segmentation, and monitoring tools to optimize network performance.