<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>
We are looking for a Senior Systems Engineer to support and enhance the technology environment for employees in Houston, Texas. This position blends advanced infrastructure administration with responsive end-user support, requiring someone who can troubleshoot urgent technical issues while also identifying opportunities to strengthen systems, security, and reliability. The ideal candidate brings a service-oriented mindset, strong technical judgment, and the ability to deliver a high-quality experience for staff at all levels, including executive leadership.<br><br>Responsibilities:<br>• Provide hands-on technical assistance for employees, addressing issues involving workstations, applications, Microsoft 365, network access, and connected devices.<br>• Act as the highest point of escalation for challenging support requests, ensuring timely resolution and maintaining accurate service documentation.<br>• Oversee employee technology setup and separation activities, including account creation, device configuration, access changes, and equipment collection.<br>• Administer the Microsoft 365 environment, including Exchange Online, Teams, SharePoint, OneDrive, Intune, Entra ID, Defender, and Purview, while managing licenses and access policies.<br>• Maintain core Windows Server services such as Active Directory, Group Policy, remote access components, and file-sharing infrastructure.<br>• Support and optimize the Nutanix platform by monitoring cluster performance, availability, and resource utilization across the environment.<br>• Manage Cisco Meraki networking solutions, including security appliances, switching, wireless infrastructure, and SD-WAN settings through the centralized dashboard.<br>• Strengthen cybersecurity operations by supporting endpoint protection, threat monitoring, audit readiness, access reviews, and IT risk documentation.<br>• Ensure conference room technology remains dependable by administering Microsoft Teams Rooms, maintaining Logitech collaboration hardware, and performing proactive room readiness checks.<br>• Create and refine technical standards, operational runbooks, patching routines, backup validation, disaster recovery documentation, and controlled infrastructure changes.
<p>Join a growing technology team focused on building modern analytics and business applications powered by real-time and historical operational, financial, and enterprise data. This role offers the opportunity to work directly with business stakeholders, analysts, operations teams, and leadership to develop scalable solutions that support critical business decisions.</p><p>Responsibilities</p><ul><li>Design, develop, and support scalable enterprise applications.</li><li>Build analytics, reporting, and data-driven platforms.</li><li>Partner with business users to gather requirements and deliver innovative solutions.</li><li>Develop and maintain APIs, integrations, and internal applications.</li><li>Turn user feedback into enhancements and bug fixes.</li><li>Write clean, maintainable, and well-tested code.</li><li>Support and train users on internally developed systems.</li></ul><p><br></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 Machine Learning Engineer 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 NLP, LLMs, and Generative AI</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>We are seeking an experienced Python Data Engineer to join our growing data team. This role will focus on building and supporting scalable data solutions that ingest, process, and deliver real-time and near real-time data across the organization. The ideal candidate will have experience working in financial services, energy, or oil & gas environments, where timely, accurate data is critical to business operations and decision-making.</p><p>You will partner closely with business leaders, analysts, data scientists, and application teams to develop robust data pipelines, integrate external and internal data sources, and enhance enterprise data capabilities.</p><p>Responsibilities</p><ul><li>Design, develop, and maintain scalable Python-based ETL and data integration solutions.</li><li>Build reusable data acquisition components to consume APIs, market feeds, operational systems, IoT devices, and third-party data sources.</li><li>Develop and support real-time and near real-time data pipelines for business-critical reporting and analytics.</li><li>Collaborate with stakeholders to gather requirements and translate business needs into technical solutions.</li><li>Enhance and maintain enterprise data engineering frameworks and standards.</li><li>Ensure data quality, reliability, performance, and governance across the data ecosystem.</li><li>Support Oracle databases, PL/SQL development, and data warehouse integrations.</li><li>Partner with global teams to deliver high-quality data solutions and support ongoing business initiatives.</li><li>Participate in architecture discussions and contribute to best practices around data engineering and software development.</li></ul><p><br></p><p>Preferred Qualifications</p><ul><li>Experience in financial services, banking, asset management, energy, commodities, or oil & gas industries.</li><li>Experience supporting operational, market, production, pricing, risk, or financial data platforms.</li><li>Knowledge of cloud-based data platforms and modern data architecture.</li><li>Experience with data warehousing, data lakes, and enterprise reporting solutions.</li></ul><p>Technical Environment</p><p>Python, Oracle, PL/SQL, Pandas, NumPy, Selenium, BeautifulSoup, REST APIs, ETL, Data Pipelines, Real-Time Data Processing, Data Warehousing, Git, Agile, Cloud Technologies</p><p>Ideal Candidate: A hands-on Data Engineer with strong Python development skills, experience working with real-time business data, and a background supporting data platforms in financial services, energy, or oil & gas organizations.</p><p><br></p>
We are looking for an Azure Systems Engineer to support and enhance a hybrid infrastructure environment in Houston, Texas. This role focuses on maintaining secure, reliable identity and server platforms while helping users and business teams stay productive. The ideal candidate brings strong experience across Microsoft technologies and can manage core systems with a proactive, service-oriented approach.<br><br>Responsibilities:<br>• Administer and optimize Active Directory and Azure Active Directory environments to support secure access and identity management.<br>• Maintain, troubleshoot, and improve Microsoft Windows Server platforms to ensure strong performance, availability, and system health.<br>• Support Citrix-based solutions by resolving technical issues, monitoring stability, and enhancing the end-user experience.<br>• Manage Microsoft Exchange environments, including configuration, maintenance, and issue resolution for messaging services.<br>• Implement system updates, patches, and configuration changes while following operational and security standards.<br>• Investigate infrastructure incidents, identify root causes, and deliver timely resolutions to minimize service disruptions.<br>• Collaborate with cross-functional teams on infrastructure improvements, platform upgrades, and environment standardization.<br>• Create and maintain clear technical documentation for system configurations, procedures, and support activities.
We are looking for a Business Intelligence (BI) Engineer to design and enhance reporting solutions that turn complex operational and commercial data into clear business insights. Based in The Woodlands, Texas, this role supports decision-making across the organization by building scalable dashboards, improving data visibility, and translating stakeholder needs into effective analytics products. The ideal candidate combines strong Power BI expertise with a practical understanding of business intelligence architecture, data modeling, and performance optimization.<br><br>Responsibilities:<br>• Build and maintain interactive Power BI dashboards and reports that provide timely, meaningful visibility into key business metrics.<br>• Partner with business teams to gather reporting needs, define success measures, and convert requirements into well-structured analytics solutions.<br>• Develop robust data models and DAX calculations that improve reporting accuracy, usability, and analytical depth.<br>• Optimize BI assets for performance, reliability, and ease of use across a range of audiences and business functions.<br>• Work with data from multiple systems to create consistent, trusted datasets that support enterprise reporting.<br>• Troubleshoot reporting issues, validate data outputs, and resolve discrepancies to maintain confidence in delivered insights.<br>• Document report logic, data definitions, and development standards to support long-term scalability and knowledge sharing.<br>• Contribute to enhancements involving business intelligence platforms or reporting processes when operational changes require updated analytics support.
We are looking for an experienced Lead Data Engineer to oversee the design, implementation, and management of advanced data infrastructure in Houston, Texas. This role requires expertise in architecting scalable solutions, optimizing data pipelines, and ensuring data quality to support analytics, machine learning, and real-time processing. The ideal candidate will have a deep understanding of Lakehouse architecture and Medallion design principles to deliver robust and governed data solutions.<br><br>Responsibilities:<br>• Develop and implement scalable data pipelines to ingest, process, and store large datasets using tools such as Apache Spark, Hadoop, and Kafka.<br>• Utilize cloud platforms like AWS or Azure to manage data storage and processing, leveraging services such as S3, Lambda, and Azure Data Lake.<br>• Design and operationalize data architecture following Medallion patterns to ensure data usability and quality across Bronze, Silver, and Gold layers.<br>• Build and optimize data models and storage solutions, including Databricks Lakehouses, to support analytical and operational needs.<br>• Automate data workflows using tools like Apache Airflow and Fivetran to streamline integration and improve efficiency.<br>• Lead initiatives to establish best practices in data management, facilitating knowledge sharing and collaboration across technical and business teams.<br>• Collaborate with data scientists to provide infrastructure and tools for complex analytical models, using programming languages like Python or R.<br>• Implement and enforce data governance policies, including encryption, masking, and access controls, within cloud environments.<br>• Monitor and troubleshoot data pipelines for performance issues, applying tuning techniques to enhance throughput and reliability.<br>• Stay updated with emerging technologies in data engineering and advocate for improvements to the organization's data systems.
<p><strong>Position Summary:</strong></p><p>We are seeking an <strong>AI/ML Engineer with a focus on Generative AI</strong> to design, develop, and deploy advanced AI solutions that drive business innovation. This role will leverage large language models (LLMs), machine learning, and cloud-based AI technologies to build intelligent applications, automate workflows, and enhance data-driven decision-making.</p><p><br></p><p><strong>Key Responsibilities:</strong></p><ul><li>Design, develop, and deploy Generative AI solutions using LLMs such as OpenAI, Claude, Gemini, or open-source models.</li><li>Build and optimize AI/ML pipelines for model training, fine-tuning, evaluation, and inference.</li><li>Develop Retrieval-Augmented Generation (RAG) architectures and integrate vector databases.</li><li>Collaborate with software engineers, data engineers, and business stakeholders to deliver AI-powered applications.</li><li>Implement prompt engineering strategies and model optimization techniques to improve performance and accuracy.</li><li>Monitor, troubleshoot, and enhance AI models in production environments.</li><li>Ensure AI solutions adhere to security, governance, and responsible AI best practices.</li></ul><p><br></p>
We are looking for an experienced Penetration Tester to join our cybersecurity team and enhance the security of our Windows-based systems. The ideal candidate will play a key role in identifying vulnerabilities, conducting simulated attacks, and implementing strategies to safeguard critical infrastructure, including servers, endpoints, and Active Directory environments. This position offers an opportunity to apply advanced penetration testing techniques and collaborate with IT teams to strengthen security measures.<br><br>Responsibilities:<br>• Perform penetration tests and security evaluations of Windows environments, including Active Directory, servers, endpoints, and domain controllers.<br>• Execute red team scenarios to simulate real-world attack tactics, techniques, and procedures.<br>• Identify and exploit vulnerabilities within Windows systems, applications, and networks, documenting findings comprehensively.<br>• Develop and utilize custom scripts and tools using programming languages such as PowerShell, Python, C++, or C#.<br>• Work closely with IT teams to address security gaps and implement mitigation strategies.<br>• Prepare detailed reports outlining vulnerabilities and actionable recommendations to fortify Windows infrastructure.<br>• Stay updated on emerging threats, attack vectors, and techniques targeting Windows-based systems.<br>• Evaluate Group Policy Objects and other system configurations to ensure adherence to security standards.<br>• Support the improvement of cybersecurity practices by sharing insights and conducting knowledge transfer sessions.