We are looking for a Data Engineer to join our Data & Analytics team in Houston, Texas, and help strengthen the reporting foundation that supports decisions across the business. In this role, you will shape data into reliable, business-ready models, develop scalable reporting structures, and work closely with teams such as Finance and Operations to turn complex rules into clear insights. This position blends technical data engineering with analytics-focused development, offering the opportunity to improve reporting quality, maintain dependable data flows, and contribute to ongoing enhancements in our analytics environment.<br><br>Responsibilities:<br>• Develop and maintain structured data models, including staging layers, reporting tables, and dimensional designs within the Azure-based data warehouse environment.<br>• Create and support Power BI semantic models, calculated measures, security configurations, dashboards, and reports used for operational and enterprise reporting.<br>• Monitor scheduled data workflows and dataset refresh activity, investigate processing issues, and resolve failures to keep reporting available and accurate.<br>• Adjust and enhance existing ETL and orchestration processes as business needs evolve, using tools such as Azure Data Factory and related Microsoft data platforms.<br>• Collaborate with stakeholders across functions to translate reporting needs, financial logic, and operational rules into dependable analytical solutions.<br>• Produce clear technical and business documentation covering model design, metric definitions, transformation logic, and data ownership.<br>• Apply and help refine development standards for naming, modeling approach, query design, and reporting structure to improve consistency and quality.<br>• Identify opportunities to streamline current data practices, improve performance, and introduce effective tools or methods that strengthen analytics capabilities.
We are looking for a Systems Security Engineer to strengthen and secure enterprise infrastructure for a respected financial institution in San Antonio, Texas. This position blends hands-on systems administration with a strong security focus, making it well suited for someone who can protect Windows-based environments while advancing consistent controls across the organization. The individual in this role will help elevate the company’s security posture through practical hardening measures, policy enforcement, and close collaboration with technical and business stakeholders.<br><br>Responsibilities:<br>• Build, deploy, and support secure infrastructure solutions across both on-premises systems and cloud-based platforms.<br>• Manage and enhance Microsoft security and identity tools, including Intune, Entra ID, Defender, Active Directory, and Group Policy, to improve control and visibility.<br>• Define and apply security configuration standards that align with recognized benchmarks and enterprise best practices.<br>• Drive initiatives related to server hardening, patching, vulnerability resolution, and ongoing configuration oversight.<br>• Create and maintain endpoint protection standards and device compliance rules to support a secure user environment.<br>• Review security alerts, examine potential threats, and coordinate timely corrective actions with the appropriate teams.<br>• Partner with infrastructure, networking, and IT leadership to promote standardized security processes and technology practices.<br>• Provide administration and support for core Windows Server services and related enterprise infrastructure components.<br>• Contribute to audits, risk reviews, and compliance activities associated with regulated financial environments.
<p>Robert Half is seeking a <strong>Systems Engineer</strong> to support a gaming industry client based in <strong>Bellevue, WA</strong>. This role partners closely with Information Security teams to plan and deliver endpoint, server, patch management, and security‑driven IT initiatives within a hybrid enterprise environment. <strong>Apply today!</strong></p><p> </p><p><strong>Schedule:</strong> Monday–Friday, 8:00 AM to 5:00 PM PST with an on-call rotation</p><p>- 24‑hour on‑call rotation every 6 weeks</p><p><strong>Contract Duration:</strong> 12 month long-term contract</p><p><strong>Location:</strong> 100% Remote</p><p> </p><p><strong>Key Responsibilities</strong></p><ul><li>Own endpoint, server, and application patching across Windows, macOS, and Linux environments using Intune, JAMF, and Patch My PC to ensure security, stability, and compliance</li><li>Lead vulnerability remediation and security‑aligned system hardening in partnership with Information Security, including support for Microsoft 365, Exchange, and email security platforms</li><li>Provide hands‑on systems and endpoint administration, serving as an escalation point for complex server and endpoint issues and supporting deployments and lifecycle management</li><li>Participate in incident response and on‑call rotations, troubleshooting outages, patching failures, and security‑related events with sound judgment under pressure</li><li>Drive operational improvements through documentation, runbooks, root cause analysis, and automation to improve reliability and reduce risk.</li></ul><p><br></p>
<p>Want to build security, not just maintain it?</p><p>This isn’t a role where you’ll inherit a mature security program, spend your days updating policies, or stay buried in one narrow piece of the environment.</p><p>We’re looking for an experienced security focused<strong> Systems Engineer</strong> who wants to take real ownership of security and compliance while staying hands-on with the technology behind it.</p><p>You’ll serve as a go-to security expert across the organization, partnering closely with IT leadership to strengthen the security program, advance CMMC and NIST compliance, and tackle infrastructure and systems initiatives along the way.</p><p>And yes, there’s a pretty great perk: <strong>work four 10-hour days and get a three-day weekend every week.</strong></p><p><br></p><p>Why This Role Is Different</p><p>This is a <strong>newly created position</strong>, which means there’s an opportunity to put your fingerprints on the security program rather than simply stepping into someone else’s playbook.</p><p>You’ll have:</p><ul><li><strong>Ownership:</strong> Help build, mature, and operationalize the security and compliance program.</li><li><strong>Executive visibility:</strong> Work closely with IT leadership and the CTO on security strategy, risk, and framework roadmaps.</li><li><strong>Hands-on technical work:</strong> Security is the priority, but you’ll still work with systems, infrastructure, identity, endpoints, networking, Microsoft 365, and cloud technologies.</li><li><strong>Autonomy:</strong> You’ll be trusted to own projects, make recommendations, communicate risk, and drive initiatives forward.</li><li><strong>Variety:</strong> Work across security, compliance, infrastructure, and systems rather than being siloed into one narrow function.</li><li><strong>A 4/10 schedule:</strong> Four workdays. Three-day weekends. Enough said.</li></ul><p>What You’ll Own</p><p>Your center of gravity will be <strong>security and compliance</strong>, particularly within a government contracting environment.</p><p>You’ll:</p><ul><li>Drive readiness and ongoing compliance for <strong>CMMC Level 2 and NIST SP 800-171</strong>.</li><li>Support <strong>SOC 2 and PCI DSS</strong> initiatives, including control design, evidence collection, remediation, and audit coordination.</li><li>Take security and infrastructure projects from idea to implementation, managing timelines, stakeholders, vendors, risks, and deliverables.</li><li>Administer and improve security technologies across endpoint protection, IAM, SIEM, MFA, email security, vulnerability management, and logging.</li><li>Lead access reviews, security awareness efforts, phishing simulations, and incident-response tabletop exercises.</li><li>Develop the policies, procedures, and security plans required for compliance, then make sure those controls actually work in the real world.</li><li>Partner with leadership on security risk, vendor reviews, customer requirements, and business decisions.</li><li>Roll up your sleeves alongside the IT team on <strong>Microsoft 365, Entra ID, servers, networking, endpoints, identity, and other infrastructure initiatives</strong>.</li></ul><p><br></p>
<p>Robert Half is working with a client in Lawrenceville, GA looking for an AI Engineer.</p><ul><li>Partner with business stakeholders to identify opportunities where AI can improve workflows, productivity, and decision-making.</li><li>Translate business challenges into scalable AI and automation solutions.</li><li>Design, develop, and implement AI-powered tools and applications.</li><li>Evaluate emerging AI technologies and recommend practical business use cases.</li><li>Work cross-functionally with leaders across finance, operations, human resources, and other business functions.</li><li>Identify repetitive and manual processes that can be automated or enhanced through AI.</li><li>Support the development of an enterprise AI roadmap and project pipeline.</li><li>Create proof-of-concepts, prototypes, and production-ready AI solutions.</li><li>Help establish best practices, governance standards, and AI adoption strategies.</li><li>Drive successful execution from concept through implementation and user adoption.</li></ul>
<p>Robert Half is working with a client in the metro-Atlanta area seeking an AI Engineer.</p><ul><li>Develop LLM-powered and agent-based applications using Claude APIs</li><li>Design and implement MCP-based agents (Model Context Protocol) within AWS environments</li><li>Build prompt workflows, orchestration logic, and autonomous agent behaviors</li><li>Integrate enterprise systems and data sources via APIs</li><li>Optimize AI solutions for token efficiency, cost, and performance</li><li>Develop backend services and utilities to support AI applications</li><li>Collaborate with stakeholders, product teams, and engineers to deliver scalable solutions</li></ul>
<ul><li>Design, develop, test, and deploy AI-powered applications and services.</li><li>Build and optimize LLM and generative AI solutions using Azure OpenAI and related platforms.</li><li>Develop RAG architectures that connect LLMs to enterprise documents, databases, APIs, and other data sources.</li><li>Design and implement vector search, embeddings, semantic search, and knowledge retrieval capabilities.</li><li>Develop AI workflows using frameworks such as Semantic Kernel, LangChain, LangGraph, or Microsoft Copilot Studio.</li><li>Integrate AI solutions with existing enterprise applications, APIs, databases, and data platforms.</li><li>Develop production-quality services using Python and/or .NET/C#.</li><li>Work with Azure services including Azure OpenAI, Azure AI Foundry, Azure AI Search, Azure Functions, Azure Storage, and related cloud services.</li><li>Build data pipelines and preprocessing workflows to prepare enterprise information for AI applications.</li><li>Evaluate LLM performance, accuracy, relevance, latency, and cost.</li><li>Implement techniques such as prompt engineering, grounding, retrieval optimization, evaluation, and guardrails.</li><li>Partner with data engineers, software engineers, architects, and business stakeholders to move AI initiatives from proof-of-concept to production.</li><li>Establish appropriate practices for security, responsible AI, data privacy, and governance.</li><li>Troubleshoot and optimize AI applications in production environments.</li><li>Stay current with emerging AI technologies, models, frameworks, and development practices.</li></ul><p><br></p>
<p>We are looking for an AI Engineer to serve as a force multiplier for the client’s engineering organization. The role is part of an initiative to design, build, and scale AI-powered engineering workflows that dramatically increase developer productivity and accelerate software delivery. The client’s team is actively supporting a complex legacy-to-Python migration while maintaining multiple customer-facing applications. This role will be responsible for leveraging AI technologies to automate and optimize every phase of the Software Development Life Cycle (SDLC), including requirements analysis, code generation, testing, defect investigation, and release processes.</p><p><br></p><p><strong>Key Responsibilities:</strong></p><p>· Design and implement AI-powered workflows that automate software engineering processes across the SDLC.</p><p>· Build and orchestrate multi-step AI agent frameworks for code analysis, generation, validation, testing, and feedback loops.</p><p>· Develop reusable AI tooling, agent templates, and engineering playbooks adopted across multiple teams.</p><p>· Create automated testing solutions, regression frameworks, and validation mechanisms using AI-assisted approaches.</p><p>· Enhance CI/CD pipelines and DevOps processes through intelligent automation and release optimization.</p><p>· Support large-scale legacy application modernization and business rule extraction initiatives.</p><p>· Build Python-based automation tools for data processing, workflow orchestration, and engineering productivity.</p><p>· Partner with developers, architects, and engineering leadership to identify and eliminate delivery bottlenecks.</p><p>· Evaluate and implement emerging AI technologies that improve software development efficiency and quality.</p>
We are looking for an AI Engineer to help build and enhance intelligent software solutions in Fort Washington, Pennsylvania. This Long-term Contract opportunity is ideal for a senior-level engineer who combines deep .NET and C# expertise with practical experience creating AI-driven applications on the Microsoft ecosystem. In this role, you will partner with technical and business teams to deliver scalable products, improve how intelligent agents operate, and introduce modern AI capabilities into enterprise environments.<br><br>Responsibilities:<br>• Create and support enterprise applications and backend services using .NET and C# with a focus on scalability, reliability, and maintainability.<br>• Develop AI-enabled features and agent-based solutions using Microsoft technologies such as Azure AI services, Azure OpenAI, Cognitive Services, and related platform tools.<br>• Connect intelligent agents with business platforms, APIs, and operational workflows so they can perform useful actions across enterprise systems.<br>• Refine model performance by shaping prompts, structuring contextual inputs, and improving how agents interpret and respond to requests.<br>• Build retrieval-based solution patterns, including vector search and indexing approaches, to strengthen response quality and access to relevant knowledge.<br>• Implement orchestration logic, state handling, memory strategies, and feedback mechanisms that support more effective agent behavior and task execution.<br>• Assess AI outputs and agent performance through testing, validation methods, and continuous optimization to improve accuracy and dependability.<br>• Work closely with product, data, engineering, and DevOps teams while also reviewing code, guiding less-experienced developers, and promoting strong development standards.
<p>Robert Half is working with a client in Lawrenceville, GA who is seeking an AI Engineer.</p><ul><li>Partner with business stakeholders to identify opportunities where AI can improve workflows, productivity, and decision-making.</li><li>Translate business challenges into scalable AI and automation solutions.</li><li>Design, develop, and implement AI-powered tools and applications.</li><li>Evaluate emerging AI technologies and recommend practical business use cases.</li><li>Work cross-functionally with leaders across finance, operations, human resources, and other business functions.</li><li>Identify repetitive and manual processes that can be automated or enhanced through AI.</li><li>Support the development of an enterprise AI roadmap and project pipeline.</li><li>Create proof-of-concepts, prototypes, and production-ready AI solutions.</li><li>Help establish best practices, governance standards, and AI adoption strategies.</li><li>Drive successful execution from concept through implementation and user adoption.</li></ul>
<p>Robert Half is working with a client in the metro-Atlanta area seeking an AI Engineer.</p><ul><li>Build and scale AI-powered applications using GPT and LLM technologies</li><li>Design and implement prompt engineering and context strategies</li><li>Develop autonomous AI agents and intelligent workflows</li><li>Build backend services and integrate enterprise data sources</li><li>Work with tools like LangChain / LlamaIndex and vector databases</li><li>Evaluate and improve AI system performance, accuracy, and reliability</li><li>Optimize systems for cost, latency, and scalability</li><li>Deploy, monitor, and troubleshoot production applications</li><li>Collaborate with product and UX teams to deliver user-focused solutions</li><li>Contribute to shared AI tools and platforms used across engineering</li></ul>
We are looking for a Back End Engineer to join a long-term contract opportunity in Texas. In this role, you will create reliable backend systems and data processing solutions that support analytics and engineering initiatives while helping shape scalable platform architecture. You will work closely with technical and cross-functional partners to turn complex requirements into maintainable services, with a strong focus on cloud deployment, performance, and code quality.<br><br>Responsibilities:<br>• Create and deliver backend services, APIs, and data workflows that support analytics and broader engineering operations.<br>• Guide technical decisions for backend compute architecture, including the assessment and implementation of Palantir Foundry Compute Modules and container-based cloud platforms such as Fargate.<br>• Develop, package, and support backend applications and microservices using Docker, emphasizing readable, testable, and maintainable code.<br>• Partner with data, product, and engineering stakeholders to convert business and mission needs into efficient technical solutions.<br>• Set up and improve CI/CD processes, automated releases, and monitoring practices across cloud and platform environments.<br>• Produce and maintain technical documentation, system design artifacts, and interface specifications to support development and operations.<br>• Contribute to Agile delivery activities such as sprint planning, daily team syncs, backlog refinement, and solution demonstrations.<br>• Investigate and resolve application issues, integration challenges, and system performance concerns with minimal supervision.<br>• Provide technical guidance to entry-level and mid-level team members and share best practices with project teams as needed.
We are looking for an experienced Full Stack Senior Software Engineer to join a growing team in Reston, Virginia. This role is ideal for someone who enjoys creating robust, business-focused software solutions and can contribute across both front-end and back-end development. You will help build scalable applications, work with modern Microsoft technologies, and collaborate with cross-functional partners to deliver high-quality products.<br><br>Responsibilities:<br>• Design, develop, and enhance full-stack software solutions using C#, .NET, ASP.NET, JavaScript, and React.js.<br>• Build reliable enterprise applications that emphasize scalability, maintainability, and strong overall performance.<br>• Create data-centric features that connect effectively with databases, external APIs, and related service layers.<br>• Partner with product managers and business stakeholders to translate business needs into practical technical solutions.<br>• Contribute to application architecture decisions and support the adoption of cloud-based development approaches.<br>• Write clean, well-structured code and participate in testing, troubleshooting, and ongoing system improvements.
We are looking for an experienced Mobile Developer to create and support Android-based payment applications in Jacksonville, Florida. This position focuses on building dependable, secure mobile solutions that connect with payment devices and related hardware while delivering a strong user experience. The role works closely with cross-functional teams to develop production-ready software, resolve technical issues, and contribute to ongoing product improvement.<br><br>Responsibilities:<br>• Build, enhance, and maintain Android payment applications from initial development through testing, deployment, and ongoing support.<br>• Develop application functionality using Java and Kotlin within the Android ecosystem, incorporating specialized payment software libraries as needed.<br>• Connect mobile applications with payment-related hardware such as card readers, input devices, printers, scanners, and other supported peripherals.<br>• Partner with product, quality assurance, design, and engineering teams to deliver well-designed features and reliable releases.<br>• Investigate software issues, identify root causes, and implement effective fixes to improve stability and performance.<br>• Prepare and update technical documentation to support development, troubleshooting, and long-term maintenance.<br>• Apply best practices to ensure applications meet expectations for security, scalability, reliability, and maintainability.<br>• Contribute to timely delivery of high-quality software by supporting continuous improvement in performance and user experience.
<p>We are looking for an experienced Mobile Developer to lead the creation of a new mobile application platform. This opportunity is well suited for a hands-on technical leader who can shape architecture, guide product direction, and deliver a high-quality experience across mobile platforms. The role blends strategic decision-making with active development, requiring close collaboration with business partners and leadership to build a scalable, configurable solution from the ground up.</p><p><br></p><p>Responsibilities:</p><p>• Direct the technical design and delivery of a new mobile application initiative from early planning through release.</p><p>• Create and implement cross-platform mobile solutions for iOS and Android using modern development tools and frameworks, including .NET MAUI.</p><p>• Work closely with stakeholders to gather business objectives, clarify functional needs, and convert them into practical technical plans.</p><p>• Define application architecture, coding standards, and engineering practices that support maintainability, performance, and future growth.</p><p>• Champion a product-centered mindset by improving usability, flexibility, and overall customer experience throughout development.</p><p>• Assess market offerings and help identify features and capabilities that strengthen the product's competitive position.</p><p>• Guide key choices related to mobile strategy, platform capabilities, integrations, and longer-term roadmap planning.</p><p>• Serve as the team's mobile expert by providing technical leadership, mentoring developers, and influencing solution direction.</p>
<p><strong>Machine Learning Engineer</strong></p><p><br></p><p><strong>Company Overview</strong></p><p>Based in Los Angeles, California, the company specializes in transforming complex, multi-source data into actionable insights through machine learning, knowledge graph technologies, and advanced analytics. This is an opportunity to work on mission-critical applications in a highly collaborative environment focused on innovation, scalability, and operational excellence.</p><p><br></p><p><strong>Role Summary</strong></p><p>The Machine Learning Engineer will play a critical role in designing, training, deploying, and optimizing machine learning models that operate on large-scale temporal, geospatial, relational, and unstructured datasets. This position requires an experienced engineer who can independently own the full machine learning lifecycle, from dataset development and model architecture selection to deployment, monitoring, and continuous improvement. The ideal candidate brings broad expertise across computer vision, natural language processing (NLP), geospatial analytics, MLOps, and large-scale production machine learning environments.</p><p><br></p><p><strong>Key Responsibilities</strong></p><ul><li>Design, train, evaluate, deploy, and optimize machine learning models across multiple production use cases.</li><li>Build predictive solutions for anomaly detection, forecasting, entity resolution, relationship prediction, risk assessment, and operational decision support.</li><li>Partner with data engineering teams to develop high-quality training datasets from structured, unstructured, temporal, relational, and geospatial data sources.</li><li>Design model architectures and select appropriate algorithms based on business objectives, data characteristics, and operational requirements.</li><li>Develop and maintain machine learning pipelines spanning data preparation, feature engineering, training, evaluation, deployment, and monitoring.</li><li>Build scalable solutions that leverage graph-based and knowledge graph-driven data architectures.</li><li>Develop models utilizing computer vision, NLP, geospatial analytics, and predictive modeling techniques.</li><li>Establish rigorous evaluation frameworks, baselines, performance metrics, and validation methodologies.</li><li>Design experiments that mitigate data leakage, model drift, bias, and changing data distributions.</li><li>Implement monitoring, observability, alerting, retraining, rollback, and model governance processes.</li><li>Maintain reproducible datasets, model artifacts, evaluation results, and deployment workflows.</li><li>Collaborate with distributed engineering teams to deliver reliable and scalable machine learning capabilities.</li><li>Improve model calibration, confidence scoring, uncertainty estimation, and explainability.</li><li>Contribute to technical architecture, machine learning standards, and long-term platform strategy.</li></ul><p><strong>Additional Details</strong></p><ul><li>Fully onsite 5 days a week</li><li>Highly collaborative environment with strong emphasis on machine learning, knowledge graphs, and data-driven decision support</li><li>Opportunity to influence technical direction, machine learning standards, and model lifecycle practices across multiple initiatives</li><li>Candidates must be authorized to work in the United States and satisfy applicable regulatory employment requirements</li></ul>
<p><strong>Robert Half is working with a client who is looking to hire a Machine Learning Engineer</strong> to help operationalize machine learning models as part of a growing enterprise AI program.</p><p>This role will sit between Data Science and Engineering and will focus on taking models from experimentation into reliable, scalable production environments.</p><p>Responsibilities</p><ul><li>Develop and deploy machine learning models into production.</li><li>Build reusable ML pipelines for training, testing, deployment, and monitoring.</li><li>Partner with Data Scientists to productionize predictive models.</li><li>Develop APIs and services that expose machine learning capabilities to enterprise applications.</li><li>Monitor model performance, drift, and reliability.</li><li>Build automated testing and deployment processes for ML workloads.</li><li>Optimize model performance and infrastructure utilization.</li><li>Work with Data Engineering teams to establish reliable training and inference datasets.</li></ul><p><br></p>
<p><strong>Machine Learning Engineer</strong></p><p><br></p><p><strong>Company Overview</strong></p><p>Based in Los Angeles, California, the company specializes in transforming complex, multi-source data into actionable insights through machine learning, knowledge graph technologies, and advanced analytics. This is an opportunity to work on mission-critical applications in a highly collaborative environment focused on innovation, scalability, and operational excellence.</p><p><br></p><p><strong>Role Summary</strong></p><p>The Machine Learning Engineer will play a critical role in designing, training, deploying, and optimizing machine learning models that operate on large-scale temporal, geospatial, relational, and unstructured datasets. This position requires an experienced engineer who can independently own the full machine learning lifecycle, from dataset development and model architecture selection to deployment, monitoring, and continuous improvement. The ideal candidate brings broad expertise across computer vision, natural language processing (NLP), geospatial analytics, MLOps, and large-scale production machine learning environments.</p><p><br></p><p><strong>Key Responsibilities</strong></p><ul><li>Design, train, evaluate, deploy, and optimize machine learning models across multiple production use cases.</li><li>Build predictive solutions for anomaly detection, forecasting, entity resolution, relationship prediction, risk assessment, and operational decision support.</li><li>Partner with data engineering teams to develop high-quality training datasets from structured, unstructured, temporal, relational, and geospatial data sources.</li><li>Design model architectures and select appropriate algorithms based on business objectives, data characteristics, and operational requirements.</li><li>Develop and maintain machine learning pipelines spanning data preparation, feature engineering, training, evaluation, deployment, and monitoring.</li><li>Build scalable solutions that leverage graph-based and knowledge graph-driven data architectures.</li><li>Develop models utilizing computer vision, NLP, geospatial analytics, and predictive modeling techniques.</li><li>Establish rigorous evaluation frameworks, baselines, performance metrics, and validation methodologies.</li><li>Design experiments that mitigate data leakage, model drift, bias, and changing data distributions.</li><li>Implement monitoring, observability, alerting, retraining, rollback, and model governance processes.</li><li>Maintain reproducible datasets, model artifacts, evaluation results, and deployment workflows.</li><li>Collaborate with distributed engineering teams to deliver reliable and scalable machine learning capabilities.</li><li>Improve model calibration, confidence scoring, uncertainty estimation, and explainability.</li><li>Contribute to technical architecture, machine learning standards, and long-term platform strategy.</li></ul><p><strong>Additional Details</strong></p><ul><li>Fully onsite 5 days a week</li><li>Highly collaborative environment with strong emphasis on machine learning, knowledge graphs, and data-driven decision support</li><li>Opportunity to influence technical direction, machine learning standards, and model lifecycle practices across multiple initiatives</li><li>Candidates must be authorized to work in the United States and satisfy applicable regulatory employment requirements</li></ul>
<p>We are looking for a skilled Systems/Network Engineer who will play a pivotal part in advancing our infrastructure through automation, ensuring seamless operations and enhanced reliability. You will have the opportunity to work on cutting-edge technologies and contribute to modernizing our systems.</p>
<p>We are seeking a skilled Systems Engineer to support and maintain core infrastructure across virtual server environments, Windows workstations, storage, backup, and disaster recovery systems. This role will be responsible for installing, configuring, and maintaining virtual servers; supporting the Windows desktop environment; and administering SAN storage, replication, backup, and recovery solutions. The ideal candidate will have hands-on experience with VMware, Veeam, SAN storage, and disaster recovery planning and execution.</p><p><br></p><p>Key Responsibilities:</p><ul><li>Install, configure, and maintain virtual servers in a VMware environment</li><li>Support and troubleshoot the Windows workstation environment</li><li>Administer and maintain SAN storage systems</li><li>Manage local and remote data replication processes</li><li>Oversee backup operations and recovery procedures using Veeam</li><li>Monitor system performance, availability, and capacity across infrastructure environments</li><li>Support disaster recovery readiness, testing, and execution</li><li>Troubleshoot server, storage, backup, and workstation issues in a timely manner</li><li>Perform system upgrades, patching, and routine maintenance</li><li>Document infrastructure configurations, procedures, and recovery plans</li><li>Collaborate with IT teams and stakeholders to support business continuity and operational goals</li></ul><p><br></p>
<p>Overview</p><p>Client is seeking a High Performance Computing (HPC) Engineer with deep experience designing, building, and optimizing HPC environments. This individual will play a key role in evaluating the current environment, helping build the business case for future-state architecture, ordering and planning equipment, and supporting HPC infrastructure modernization efforts.</p><p>This is a highly specialized search requiring candidates with proven HPC design and implementation experience—not general systems engineers.</p><p><br></p><p>Engagement Details</p><p><br></p><p>Title: HPC Infrastructure Engineer / HPC Solutions Architect</p><p>Location: 100% Onsite, 4540 Fortune Ave NW, Concord, NC 28027</p><p>Duration: 6 month CTH</p><p>Start Date: Targeting September</p><p>Interview Process: 2 Rounds- 30/ 1 hr tech</p><p>Work Authorization: Must be authorized to work without sponsorship constraints</p><p>Industry: Engineering / Simulation / Modeling Environment</p><p><br></p><p><br></p><p>Must-Have Experience</p><p>HPC Infrastructure</p><p><br></p><p>Experience designing, architecting, and implementing enterprise HPC environments</p><p>Strong understanding of HPC compute, storage, networking, and cluster architecture</p><p>Experience optimizing HPC performance, scalability, and workload management</p><p>Ability to recommend and justify infrastructure investments through business cases and ROI discussions</p><p><br></p><p>Dell HPC Environment</p><p><br></p><p>Previous experience supporting or architecting Dell-based HPC environments</p><p>Familiarity with Dell HPC reference architectures and ecosystem</p><p>Experience evaluating or migrating to alternative platforms is highly desirable</p><p><br></p><p>Modeling & Simulation</p><p>Candidates must come from environments supporting engineering simulations and modeling workloads.</p><p>Strong preference for experience with:</p><p><br></p><p>STAR-CCM+</p><p>Abaqus</p><p>Converge CFD</p><p><br></p><p>Candidates with hands-on experience supporting these applications will be prioritized.</p><p><br></p><p>Responsibilities</p><p>Assess current HPC environment and future requirements</p><p>Help develop business case and infrastructure roadmap</p><p>Recommend compute, storage, and networking architecture</p><p>Assist with equipment selection and procurement planning</p><p>Design and optimize HPC clusters</p><p>Improve simulation and modeling performance</p><p>Document architecture recommendations and deployment approach</p><p>Support rollout and knowledge transfer activities</p>
<p>*Email brendan.steele@rht(.com) for consideration*</p><p><br></p><p>Robert Half (Technology Solutions) is searching for an Infrastructure Engineer with experience in M365, Entra ID, Intune, Cloud Networking (AWS/Azure), Endpoint Security (Proofpoint, Sophos, Purview), ITSM (ManageEngine), security frameworks (NIST, ISO, CIS), etc. If this sounds like your background, then this Infrastructure Engineer role is for you. For this opportunity, you will work hybrid remote in Ventura, CA area.</p><p><br></p><p><strong>Positions</strong>: Infrastructure Engineer</p><p><strong>Hours/Duration</strong>: 40 hrs/wk, M-F, PST Hours, CTH/FTE (3-6 Months to Convert)</p><p><strong>Top Skills</strong>: M365, Entra ID, Intune, Cloud Networking (AWS/Azure), Endpoint Security (Proofpoint, Sophos, Purview), ITSM (ManageEngine), security frameworks (NIST, ISO, CIS)</p><p><strong>Onsite/Remote</strong>: <em>Hybrid Remote</em></p><p><strong>Company:</strong> Credit Union</p><p><br></p><p><strong>Responsibilities:</strong></p><p>• Oversee day-to-day administration of core Microsoft infrastructure, ensuring stable performance across a multi-location user environment.</p><p>• Manage and support key enterprise technologies such as Microsoft Defender, SharePoint, Intune, Entra ID, ManageEngine, and Proofpoint.</p><p>• Provide hands-on support for server, directory, and identity services, including maintenance of Windows Server and Active Directory platforms.</p><p>• Administer firewall configurations and deliver general network support to maintain connectivity, security, and operational continuity.</p><p>• Collaborate with external technology partners to coordinate support activities, resolve infrastructure issues, and improve service delivery.</p><p>• Monitor system health, troubleshoot technical problems, and implement corrective actions to minimize downtime and user disruption.</p><p>• Support cloud and hybrid environment operations involving Microsoft services and related infrastructure components.</p><p>• Contribute to ongoing technical initiatives involving third-party vendors and enterprise systems as needed.</p>
<p>We are looking for an Infrastructure Engineer to support and enhance a complex enterprise technology environment serving the local Minnesota area. This role is ideal for a versatile infrastructure specialist who can work across cloud platforms, virtualization, network services, and core systems operations. The position is fully remote, but candidates must reside in the local metro area and be comfortable managing multi-site infrastructure with a strong focus on reliability, security, and performance.</p><p><br></p><p>Responsibilities:</p><p>• Manage and improve cloud and on-premises infrastructure across enterprise environments, ensuring dependable performance and availability.</p><p>• Administer Microsoft Azure and Microsoft 365 services while supporting broader infrastructure initiatives tied to business and technical needs.</p><p>• Oversee multi-site, multi-forest Active Directory environments, including policy administration and identity-related services.</p><p>• Support virtualization platforms with Nutanix and contribute to the health and scalability of datacenter operations.</p><p>• Coordinate patching, endpoint administration, device management, and infrastructure monitoring to maintain secure and stable systems.</p><p>• Troubleshoot Windows desktop and server issues at multiple levels of complexity and provide effective resolution across the environment.</p><p>• Work with network, cloud, desktop, and server service providers to maintain seamless infrastructure support.</p><p>• Contribute to network operations by supporting routing, firewall administration, and Layer 2/Layer 3 connectivity across locations.</p><p>• Strengthen infrastructure security by implementing and maintaining logging, alerting, and other operational security tools.</p>
<p><strong>Fullstack Developer - AI Focus</strong></p><p><strong>Hybrid, 2 days/week in Wayzata, MN</strong></p><p><strong>6-12 month contract</strong></p><p><br></p><p>We are looking for a Senior Software Engineer to join a hybrid team in Wayzata, Minnesota, contributing to innovative full-stack solutions that bring enterprise data and generative AI capabilities together. This Long-term Contract opportunity is ideal for an experienced engineer who enjoys building secure, scalable applications across both back-end and front-end layers in a fast-moving prototyping environment. The role focuses on creating dependable software that connects data workflows, large language models, and user-facing tools while supporting enterprise-grade performance, usability, and security.</p><p><br></p><p>Responsibilities:</p><p>• Build and enhance end-to-end application features using C# services on the back end and React with TypeScript on the front end.</p><p>• Develop workflows that connect enterprise data sources with large language models, ensuring outputs are validated, structured, and usable within business applications.</p><p>• Create reliable integrations that support modern AI-driven applications, including orchestration patterns and skills-based software capabilities.</p><p>• Deploy and maintain solutions in Microsoft Azure using automated delivery pipelines, while contributing to logging, monitoring, and foundational infrastructure templates.</p><p>• Partner with platform, security, and technical teams to resolve issues across controlled enterprise environments with strict access and network requirements.</p><p>• Support modernization efforts by helping shift legacy components toward cloud-native architectural practices and more scalable application designs.</p><p>• Investigate and solve complex technical issues independently, driving work from early discovery through production-ready delivery.</p><p>• Collaborate in a hybrid setting, typically working onsite two days per week to align with stakeholders and team members.</p>
<p><strong>Full Stack Developer (.NET, C#, React)</strong></p><p>Hybrid | Austin, TX | Contract</p><p><br></p><p>Robert Half is hiring a Full Stack Developer to join a manufacturing organization on a long-term contract assignment. This hybrid opportunity is ideal for someone with strong attention to detail who enjoys building modern web applications across both frontend and backend layers while partnering closely with cross-functional teams in an agile setting. The role focuses on delivering reliable, scalable solutions using C#, .NET technologies, and modern JavaScript frameworks such as Angular or React, with a strong emphasis on code quality, collaboration, and continuous improvement.</p><p><br></p><p><strong>Responsibilities:</strong></p><p>• Design, build, and enhance full stack web applications with a focus on dependable backend services and intuitive user-facing features.</p><p>• Create responsive frontend experiences using Angular or React, along with HTML and CSS, to support efficient and consistent application performance.</p><p>• Develop and maintain server-side components in C# and .NET, including support for scalable service-based or microservices-oriented architectures.</p><p>• Partner with product leaders, developers, and other stakeholders to refine technical approaches and resolve complex development challenges.</p><p>• Participate actively in peer reviews to strengthen code quality, maintainability, and alignment with engineering standards.</p><p>• Investigate defects, perform root-cause analysis, and implement improvements that increase software stability and usability.</p><p>• Build automated unit and regression test coverage to support reliable releases and ongoing application quality.</p><p>• Contribute within scrum ceremonies and delivery workflows that support iterative development, continuous integration, and team knowledge sharing.</p><p>• Follow required workplace policies, training expectations, and operational guidelines while supporting a collaborative and accountable team environment.</p>