We are looking for a skilled Data Engineer to design and implement robust technical solutions for enterprise applications. This role involves creating scalable and secure cloud-native systems on Azure, while collaborating closely with stakeholders to meet business requirements. The ideal candidate will possess strong expertise in data architecture and integration strategies, ensuring high engineering standards and seamless orchestration across systems.<br><br>Responsibilities:<br>• Design and maintain comprehensive technical architectures for enterprise applications, ensuring scalability and security.<br>• Develop integration strategies across multiple systems, including manufacturing, field service, and customer portals.<br>• Collaborate with the Principal Architect to define data contracts and establish effective integration patterns.<br>• Partner with teams in Product, AI/ML Engineering, and business units to translate requirements into functional solutions.<br>• Create reference implementations and frameworks to streamline development processes.<br>• Oversee system-level orchestration and elevate engineering standards across projects.<br>• Implement cloud-native solutions on Azure, leveraging modern tools and technologies.<br>• Provide technical guidance and mentorship to engineering teams, fostering best practices.<br>• Continuously monitor and improve system performance, addressing issues proactively.
<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 skilled Data Engineer to join our team in Houston, Texas. As part of the Manufacturing industry, you will play a pivotal role in developing and maintaining data infrastructure critical to our operations. This is a long-term contract position that offers the opportunity to work on innovative projects and collaborate with a dynamic team.<br><br>Responsibilities:<br>• Design and implement scalable data pipelines to support business operations and analytics.<br>• Develop, test, and maintain ETL processes for efficient data extraction, transformation, and loading.<br>• Utilize tools such as Apache Spark and Hadoop to manage and process large datasets.<br>• Integrate and optimize data streaming platforms like Apache Kafka.<br>• Collaborate with cross-functional teams to ensure data solutions align with organizational goals.<br>• Monitor and troubleshoot data systems to ensure optimal performance and reliability.<br>• Create and maintain documentation for data processes and systems.<br>• Stay updated on emerging technologies and recommend improvements to enhance data engineering practices.<br>• Ensure data security and compliance with industry standards and regulations.
Design, implement, and maintain agentic AI systems, including: Goal-oriented and task-driven agents Tool-using and decision-making agents Multi-step reasoning and workflow orchestration Build agent frameworks that coordinate: Azure AI Search (semantic + vector retrieval) LLMs for reasoning, planning, and summarization Internal APIs, databases, and enterprise tools Implement retrieval-augmented generation (RAG) patterns that support agent autonomy and accuracy Define guardrails for agent behavior, including: Error handling and fallback strategies Observability, logging, and evaluation Security and data access boundaries <br> Develop full-stack applications using .NET, Blazor, HTML/CSS, and modern web standards Build backend services and APIs backed by SQL-based data stores Integrate AI-driven features into user-facing experiences with a focus on: Performance Reliability Explainability Implement scalable service architectures suitable for AI-enhanced workloads <br> Implement intelligent search and retrieval solutions using Azure AI Search, including: Semantic search Vector indexing and similarity search Hybrid retrieval strategies Use Semantic Kernel or similar orchestration frameworks to: Manage prompts, memory, and tools Coordinate agent behavior Enable extensible AI workflows Collaborate with AI engineers and architects on model selection, evaluation, and optimization
Job description: Serve as an escalation point with responsibility for servers, networks, security, and cloud platforms. · Install, configure, and maintain Windows servers, Active Directory, DNS, DHCP, GPOs, and file/print services. · Manage end user support for Microsoft 365 (Exchange Online, SharePoint, Teams, Intune, OneDrive) and Azure Active Directory environments. · Monitor system performance, network connectivity, and security compliance using tools such as Fortinet, Bitdefender, and other compliance related applications. · Research, evaluate, and recommend IT infrastructure solutions to meet business requirements. · Implement infrastructure upgrades, including patching, backups, and resource optimization. · Deploy and maintain services in Windows, virtualized, and containerized environments (VMware, Hyper-V). · Provide incident resolution, problem determination, and root-cause analysis. · Support disaster recovery planning, testing, and execution. · Document processes, maintain technical knowledge base, and coach entry level IT staff. · Complete small projects, infrastructure deployments, and system migrations according to deadlines. · Maintain SSL certificates, domain registrations, and system security standards
<p><strong>Tier 2 Deskside / Systems Technician</strong></p><p><strong>Location:</strong> Rockville, MD or Bluemont, VA (Onsite)</p><p><strong>Schedule:</strong> 24/7/365 Support Environment</p><p><strong>Clearance:</strong> Public Trust Security Clearance required (must be obtained prior to start)</p><p><strong>Duration: </strong>26 Week Contract, potential for extension</p><p><strong>Overview</strong></p><p>We are seeking a qualified, customer-focused Tier 2 Deskside/System Technician to provide 24/7/365 systems administration and deskside support across two primary sites: Rockville, MD and Mount Weather (Bluemont, VA). This role offers the opportunity to work in a fast-paced, diverse, and highly collaborative environment where career development is strongly supported.</p><p>You will gain valuable skills in time management, problem-solving, communication, and troubleshooting while supporting critical IT operations.</p><p>e<strong>Key Responsibilities</strong></p><p><strong>Deskside & Operational Support</strong></p><ul><li>Serve as a primary point of contact providing onsite 24/7 operational deskside engineering and break/fix support for desktop and laptop devices.</li><li>Conduct non-disruptive deskside support for deploying Windows 10 and Windows 11 configured hardware.</li><li>Utilize tools such as MS Office Suite, ServiceNow, and other deployment-related technologies.</li><li>Coordinate with Tier 3 teams for system changes and upgrades.</li><li>Provide onsite IT support during practice, mock, and real DR/COOP exercises.</li><li>Communicate effectively with end users and internal teams, providing timely updates and working efficiently under tight schedules.</li><li>Participate in occasional travel between Rockville, MD and Bluemont, VA locations.</li></ul><p><strong>Systems Support & Administration</strong></p><ul><li>Maintain and support a high-availability environment utilizing virtualization and redundancy best practices.</li><li>Provide technical guidance to Tier 2 and Tier 3 teams.</li><li>Perform system maintenance including software upgrades, backups, recovery, and file maintenance.</li><li>Review systems for critical updates weekly and during major security threats or operational exercises.</li><li>Provide on-call support for Production Operating Environment (POE) issues as needed.</li><li>Troubleshoot and resolve moderately complex hardware and software issues.</li><li>Log all work in ServiceNow ITSM, meeting time-to-resolution standards.</li><li>Escalate unclear issues to leadership when necessary.</li></ul><p><strong>Hardware Deployment & Asset Management</strong></p><ul><li>Configure and deploy mobile devices, laptops, thin clients, desktops, and related equipment; role includes lifting and moving equipment.</li><li>Manage procurement, deployment, support, and disposal of software and hardware assets.</li><li>Execute asset control tasks onsite and offsite.</li><li>Provide guided hands-on support for network or systems needs at customer headquarters.</li></ul>
<p><br></p><p>We’re looking for a hands-on Data Engineer to build and scale cloud-native data platforms on Azure. You’ll design and maintain reliable ETL/ELT pipelines, enable governed cross-departmental data access, and collaborate closely with analytics and data science teams to power forecasting, predictive analytics, and executive reporting.</p><p>This role is ideal for someone who thrives at the intersection of modern data engineering (ADF, Spark, Databricks, SQL, Python), platform governance (Purview, RBAC), and analytics enablement (Power BI/Tableau, Microsoft Fabric).</p><p>What You’ll Do</p><ul><li>Build Scalable Pipelines: Design, implement, and maintain ETL/ELT pipelines using Azure Data Factory, Spark, Databricks, SQL, and Python for both transactional and bulk data loads.</li><li>Orchestration & Reliability: Implement scheduling, monitoring, alerting, and data quality checks to ensure reliable, observable pipelines and trustworthy datasets.</li><li>Azure Platform Ownership: Lead/advance Azure cloud adoption, integrating Azure DevOps, CI/CD, Infrastructure-as-Code, and Databricks to modernize data engineering workflows.</li><li>Analytics Enablement: Partner with data scientists and BI teams to deliver end-to-end solutions—from ingestion and normalization through model outputs and visualization in Power BI and Tableau.</li><li>AI/ML Collaboration: Productionize features and datasets for forecasting & predictive analytics, supporting models such as RNNs and generative AI workloads; contribute to MLOps best practices.</li><li>Microsoft Fabric & OneLake: Build governed, discoverable data products leveraging Microsoft Fabric, OneLake, and Spark notebooks.</li><li>Data Governance: Implement role-based access control and compliance with Microsoft Purview; standardize metadata, lineage, and data stewardship processes.</li><li>Performance & Cost Optimization: Continuously optimize pipelines, clusters, and storage patterns for performance, scalability, and cost efficiency.</li><li>Stakeholder Partnership: Work cross-functionally with engineering, security, and business stakeholders to prioritize backlogs and deliver measurable outcomes.</li></ul><p><br></p>
<p>We are seeking a skilled <strong>Front‑End Engineer</strong> to help modernize a suite of legacy enterprise applications. This role focuses on <strong>rebuilding and enhancing user interfaces</strong> by porting existing MVC‑based applications to a modern, component‑driven front‑end architecture using <strong>React and Next.js</strong>.</p><p>While the current environment includes <strong>.NET MVC applications</strong>, prior .NET experience is <em>not</em> required. The priority is strong front‑end engineering expertise and a passion for improving usability, performance, and maintainability of legacy systems.</p><p>What You’ll Be Working On</p><ul><li>Rebuilding legacy UI layers and migrating them to modern <strong>React / Next.js</strong> applications</li><li>Modernizing user interfaces to align with current UX, accessibility, and performance standards</li><li>Collaborating with backend, product, and design teams to define UI requirements and integration points</li><li>Translating existing MVC views and workflows into reusable, scalable front‑end components</li><li>Improving application responsiveness, maintainability, and overall user experience</li><li>Helping establish front‑end best practices and standards as part of the modernization effort</li></ul><p><br></p>
<p>We are seeking a Data Governance & Data Quality Platform Engineer responsible for the technical administration, integration, and optimization of enterprise data governance and data quality tools such as Atlan and DQ Labs / Monte Carlo. This role ensures these platforms are scalable, secure, integrated across enterprise data ecosystems, and maintained for high availability and performance. The position also supports automation, data quality monitoring, and compliance reporting initiatives across the organization.</p><p><br></p><p>Key Responsibilities</p><p><br></p><p>1. Platform Engineering & Administration</p><ul><li>Configure and maintain Atlan for metadata management, lineage tracking, and governance workflows</li><li>Configure DQ Labs / data quality tools for data profiling, rule creation, and monitoring dashboards</li><li>Manage user roles, authentication, SSO, RBAC, and security settings across governance platforms</li></ul><p>2. Integration & Automation</p><ul><li>Develop and maintain integrations between data sources, databases, data lakes, and BI tools</li><li>Automate metadata ingestion and data quality checks using APIs, Python scripts, or ETL frameworks</li><li>Configure connectors for enterprise data and analytics platforms</li></ul><p>3. Performance, Scalability & Reliability</p><ul><li>Monitor system health and optimize performance across governance and data quality environments</li><li>Apply patches, updates, and troubleshoot technical issues as needed</li><li>Implement logging, alerting, and proactive monitoring across the platform ecosystem</li></ul><p>4. Technical Support & Issue Resolution</p><ul><li>Provide Tier 3 support for platform‑related issues</li><li>Debug integration failures and resolve configuration conflicts</li><li>Collaborate with vendors for advanced troubleshooting, feature requests, and roadmap alignment</li></ul><p>5. Security & Compliance</p><ul><li>Ensure platforms comply with security and data privacy standards (e.g., GDPR, CCPA)</li><li>Implement encryption, access controls, and audit logging</li><li>Support compliance reporting and risk assessments using platform governance features and data quality metrics</li></ul>
We are looking for an experienced Telecom Engineer to join our team in Houston, Texas. In this role, you will be responsible for managing and optimizing telecommunications systems to ensure seamless operations. This is a long-term contract position that offers an excellent opportunity to apply your expertise in VoIP and telecommunication technologies while contributing to the success of our organization.<br><br>Responsibilities:<br>• Configure, maintain, and troubleshoot Mitel and ShoreTel telecommunications systems.<br>• Implement and manage VoIP solutions to support business communication needs.<br>• Monitor network performance to identify and address potential issues proactively.<br>• Collaborate with internal teams to ensure telecommunications systems meet organizational requirements.<br>• Provide technical support and guidance to resolve telecommunication-related issues.<br>• Conduct regular system upgrades and ensure compliance with industry standards.<br>• Develop and document processes for telecommunications operations and maintenance.<br>• Analyze system performance data to recommend improvements and optimize efficiency.<br>• Assist in the planning and deployment of new telecommunication technologies.<br>• Ensure all systems are secure and adhere to best practices for data protection.
<p>We’re seeking a highly skilled <strong>Senior Network Engineer</strong> with deep expertise in <strong>wireless technologies</strong>, <strong>F5 load balancing</strong>, and <strong>Palo Alto firewalls</strong> to join our global infrastructure team. This role is ideal for a technical leader who thrives in complex environments, understands the business impact of network performance, and is passionate about securing and optimizing enterprise networks.</p><p>You’ll be responsible for designing, implementing, and maintaining high-performance wireless networks, managing advanced F5 configurations, and enforcing robust security policies through Palo Alto platforms—all while collaborating with global IT teams to support mission-critical systems.</p><p>🔧 Key Responsibilities</p><ul><li>Design, deploy, and maintain enterprise-grade <strong>wireless networks</strong> using <strong>Aruba</strong> and <strong>Cisco Meraki</strong>, ensuring coverage, performance, and security</li><li>Manage and optimize <strong>F5 LTM/GTM</strong> environments, including traffic steering, SSL offloading, and application delivery</li><li>Implement and maintain <strong>Palo Alto firewalls</strong>, including policy creation, threat prevention, and access control</li><li>Monitor and troubleshoot network performance using tools like <strong>SolarWinds</strong>, <strong>ThousandEyes</strong>, and <strong>F5 Analytics</strong></li><li>Ensure secure authentication via <strong>Cisco ISE</strong> (802.1x, RADIUS, TACACS) across wired and wireless infrastructure</li><li>Maintain proxy solutions such as <strong>Zscaler</strong>, <strong>McAfee</strong>, and <strong>Palo Alto GlobalProtect</strong></li><li>Collaborate with global IT teams to address security concerns and implement new systems</li><li>Document network architecture, cabling layouts, and operational procedures</li><li>Participate in on-call rotation and support a <strong>Follow the Sun</strong> operational model</li><li>Support telephony systems including <strong>Audiocodes SBC</strong> and <strong>Microsoft Teams</strong> integration</li><li>Ensure compliance with regulatory and security standards across network infrastructure</li></ul><p><br></p>
<p><strong>Prior Roles</strong></p><ul><li>Previously held a role responsible for design and implementation of IT systems crossing multiple operational contexts (e.g. infrastructure + applications; applications + network; cloud + on premises)</li><li>Prior experience as a Solutions Architect, Solutions Engineer, or in a “hands-on” systems design role in a pre-sales or “Customer Success” role strongly preferred</li></ul><p><strong> </strong></p><p><strong>Technical Experience and Knowledge</strong></p><ul><li>Recent hands-on design, deployment, and/or administration experience in Windows Server and Linux systems administration</li><li>Working familiarity with Unix variants and Mac OS; prior administration experience a plus</li><li>Working familiarity with Microsoft Azure and other IaaS providers preferred</li><li>Strong enterprise networking design, deployment, and/or administration experience</li><li>Working familiarity with enterprise-class vendors and product lines strongly preferred (e.g. Cisco, Cisco Meraki, HPE/Aruba, Juniper, Extreme, Brocade)</li><li>Working familiarity with enterprise-class network security appliance vendors and product lines strongly preferred (e.g. Cisco, Cisco Meraki, Palo Alto, Fortinet)</li><li>Working familiarity with SMB/”prosumer” vendors and product lines a plus (e.g. Ubiquiti/UBNT, SonicWall, Mikrotik) a plus</li><li>Working familiarity with load balancers, VPN appliances/concentrators a plus</li><li>In depth understanding of current enterprise design patterns and norms for basic networking capabilities/concepts (e.g. TCP/IP, DNS, DHCP, VLAN segmentation, routing and switching, wireless)</li><li>Strong familiarity with SMB and entry-level on premises computing infrastructure technologies</li><li>Working familiarity with multiple server hardware vendors and associated management tools/platforms (e.g. Dell, HPE, Cisco, SuperMicro) strongly preferred</li><li>Working familiarity with hypervisor platforms (e.g. VMware vSphere/ESXi, Microsoft Hyper-V, Nutanix AHV, or others) strongly preferred</li><li>Strong familiarity with enterprise storage</li><li>Working familiarity with DAS, SAN, and NAS/filer solutions</li><li>Working understanding of contemporary network storage protocols and interconnect methods (e.g. iSCSI, CIFS, FibreChannel, NFS)</li><li>Strong familiarity with basic on premises infrastructure management best practices</li><li>Rack management</li><li>Power and cooling demand management</li><li>Strong familiarity with scripting for administrative, auditing, and other operational purposes</li><li>Prior experience writing PowerShell, Python, BASH/other Linux shell scripts strongly preferred </li><li>Prior experience with typical infrastructure and server/endpoint management toolsets</li><li>Performance and capacity management tools</li><li>Endpoint management / RMM platforms</li><li>Patch and vulnerability management tools</li><li>Prior experience with capacity planning, VM/server “right-sizing”, performance analysis</li><li>Prior experience and ownership designing server, network, application solutions through deployment phase</li><li>Prior experience administrating Office 365 services</li><li>Prior experience administrating Microsoft Exchange, Google G Suite/Workspace is a plus</li></ul><p><br></p>
<p>Position Overview</p><p>We are seeking a highly skilled Data Scientist with deep expertise in Artificial Intelligence, Natural Language Processing (NLP), Computer Vision (CV), and Generative AI. This role is ideal for an innovative problem‑solver who thrives in a fast‑paced environment and is passionate about developing advanced AI/ML models that drive meaningful business value.</p><p>You will design, train, and deploy cutting‑edge AI models—including large language models (LLMs) and multi‑agent systems—turning complex data into scalable, high‑impact solutions.</p><p><br></p><p>Key Responsibilities</p><ul><li>Develop, train, and optimize machine learning and deep learning models</li><li>Build advanced AI solutions leveraging LLMs, multi‑agent systems, fine‑tuning methods, and inference optimization</li><li>Translate complex data science methodologies into clear, actionable insights for business stakeholders</li><li>Collaborate with cross‑functional teams to ensure AI solutions align with business needs</li><li>Create compelling presentations, dashboards, and data stories for non‑technical audiences</li><li>Contribute to innovation initiatives involving NLP, CV, Generative AI, and predictive analytics</li></ul>
<p>We are seeking an experienced <strong>Python Developer</strong> with strong domain expertise in <strong>commodities trading and fixed‑income markets</strong> to support the development and modernization of trading, risk, and analytics platforms. This role sits close to the <strong>front office</strong> and focuses on building high‑performance systems that support trade capture, position management, valuation, P& L, and market data processing.</p><p>The ideal candidate combines <strong>advanced Python engineering skills</strong> with a deep understanding of <strong>trading workflows</strong>, <strong>financial instruments</strong>, and <strong>market data</strong> across commodities and fixed‑income products.</p><p>Key Responsibilities</p><ul><li>Design, develop, and maintain <strong>Python‑based applications and services</strong> supporting trading and risk platforms</li><li>Build systems to process <strong>trade capture, positions, P& L, valuations, and exposure calculations</strong></li><li>Work with <strong>commodities and fixed‑income instruments</strong>, including pricing and lifecycle events</li><li>Integrate real‑time and batch <strong>market data feeds</strong> (e.g., ICE, CME, Bloomberg, Refinitiv)</li><li>Develop APIs and data pipelines to support front‑office, risk, and downstream reporting systems</li><li>Optimize performance for high‑volume financial data processing and analytics</li><li>Partner closely with <strong>traders, risk managers, and quantitative teams</strong> to translate business requirements into technical solutions</li><li>Ensure data accuracy, reconciliation, and consistency across trading and risk system</li></ul><p><br></p>
We are looking for an experienced Cloud Developer to join our team in Houston, Texas. In this long-term contract position, you will play a pivotal role in designing, implementing, and optimizing cloud-based solutions tailored to the energy and natural resources industry. This role offers an exciting opportunity to work on cutting-edge AI technologies and contribute to the development of innovative solutions.<br><br>Responsibilities:<br>• Design and deploy scalable cloud solutions using AWS and Azure services.<br>• Develop and integrate AI-powered applications to enhance operational efficiency.<br>• Implement automation tools, such as Ansible, to streamline processes and improve system performance.<br>• Optimize cloud infrastructure through advanced techniques like auto-scaling and resource allocation.<br>• Collaborate with cross-functional teams to align AI strategies with business goals.<br>• Create and maintain pipelines for data processing and machine learning workflows using Azure ML and Azure Pipelines.<br>• Conduct process modeling and mapping to identify opportunities for AI integration.<br>• Deploy and manage AI models on cloud platforms, ensuring reliability and scalability.<br>• Monitor and troubleshoot cloud environments to ensure optimal performance.<br>• Stay updated with emerging cloud technologies and AI advancements to drive innovation.
