We are looking for a Software Engineer Team Lead to join a Texas-based organization in the credit services industry and play a key role in building and evolving business-critical applications. This contract-to-permanent opportunity is ideal for a senior technical leader who enjoys staying close to the code while guiding engineering direction, partnering with internal stakeholders, and supporting distributed teams. The position is primarily hands-on, with a strong emphasis on application architecture, modernization, and delivery across a Microsoft and Azure-focused environment.<br><br>Responsibilities:<br>• Lead technical design and contribute directly to development efforts, dedicating the majority of time to coding, solution architecture, and problem-solving.<br>• Build, enhance, and support web applications using C#, .NET, Angular, SQL Server, and Azure services such as App Services, Functions, monitoring, and messaging components.<br>• Drive modernization initiatives for existing systems while ensuring ongoing reliability, performance, and maintainability of current applications.<br>• Partner with engineering team members across regions to coordinate development efforts, share technical guidance, and maintain delivery quality.<br>• Work closely with business and technology stakeholders across the department to translate needs into scalable software solutions.<br>• Establish and improve CI/CD practices to strengthen release processes, development efficiency, and code quality.<br>• Incorporate AI-assisted development tools and emerging agent-based workflows into engineering practices to improve speed and output quality.<br>• Provide technical leadership through mentorship, design oversight, and hands-on support without focusing primarily on people management or task administration.
<p>Robert Half is seeking a Contract .NET Developer to join our client's development team. As a Contract .NET Developer, you will be responsible for designing, developing, and maintaining software solutions using the .NET framework. This role offers an exciting opportunity to work on diverse projects with a reputable organization.</p><p><br></p><p><strong>Key Responsibilities:</strong></p><ol><li><strong>Software Development:</strong> Design, code, test, debug, and document software applications using the .NET framework and related technologies.</li><li><strong>Application Maintenance:</strong> Maintain and enhance existing .NET applications by identifying areas for modification, improvement, and optimization.</li><li><strong>Collaboration:</strong> Work closely with cross-functional teams to gather requirements, analyze needs, and develop software solutions that meet business objectives.</li><li><strong>Database Integration:</strong> Develop and optimize database-related functionalities within applications, ensuring efficient data storage and retrieval.</li><li><strong>Code Reviews and Testing:</strong> Conduct code reviews to ensure code quality, performance, and adherence to coding standards. Perform thorough testing to identify and resolve any issues.</li><li><strong>Documentation:</strong> Create and maintain technical documentation for developed applications, including system designs and user manuals.</li><li><strong>Troubleshooting and Support:</strong> Provide technical support and troubleshooting assistance for developed applications, ensuring smooth operation and addressing user-reported issues.</li></ol><p><br></p>
<p>We are seeking an <strong>IT Support Engineer</strong> with strong Microsoft Azure experience to support enterprise users, cloud services, and core IT infrastructure. This role combines traditional systems support with cloud administration responsibilities.</p><p>Responsibilities</p><ul><li>Provide Tier 2 and Tier 3 support for users, systems, and cloud environments</li><li>Manage Microsoft Azure resources and services</li><li>Support Microsoft 365, Entra ID (Azure AD), and Intune environments</li><li>Troubleshoot Windows servers, endpoints, networking, and cloud services</li><li>Administer user accounts, permissions, and identity management</li><li>Monitor system performance and availability</li><li>Assist with migrations, upgrades, and cloud initiatives</li><li>Document procedures and technical solutions</li></ul><p><br></p>
We are looking for an experienced Lead Data Engineer to shape and scale modern data solutions for a growing organization. This role is ideal for a senior, detail-oriented individual who enjoys working in a dynamic environment, contributing both strategically and hands-on across engineering initiatives. The ideal candidate brings strong technical depth in cloud-based data platforms, a practical approach to data architecture, and the ability to guide engineers while partnering effectively with business stakeholders.<br><br>Responsibilities:<br>• Lead the design, development, and maintenance of scalable data pipelines and warehouse solutions using Python, Snowflake, and Azure-based technologies.<br>• Define data architecture standards that improve reliability, usability, and long-term scalability across the data environment.<br>• Drive performance tuning and optimization efforts for data processing workflows, storage structures, and query execution.<br>• Establish and strengthen data quality practices by implementing validation, monitoring, and governance measures across datasets and pipelines.<br>• Serve as a senior technical leader who can step into managerial responsibilities, providing direction, feedback, and support to engineering team members.<br>• Mentor engineers through code reviews, technical coaching, and knowledge sharing to elevate team capability and engineering consistency.<br>• Partner closely with business teams and technical stakeholders to translate operational and analytical needs into effective data solutions.<br>• Contribute hands-on to ETL development and cloud data platform enhancements, with exposure to Databricks considered an advantage.<br>• Act as a key point of coordination between business priorities and technical execution to ensure data initiatives deliver measurable value.
We are looking for a Design Manager to join a Financial Services organization on a Contract basis in Dallas, Texas. This role will guide the visual direction of key communications and marketing efforts while supporting a small internal design team. The ideal candidate brings strong creative judgment, hands-on execution across print and digital channels, and the ability to uphold a cohesive brand presence across a wide range of initiatives.<br><br>Responsibilities:<br>• Shape and oversee the visual approach for marketing, communications, and promotional initiatives across the organization.<br>• Direct, assign, and review work for two design team members, providing day-to-day leadership and constructive creative feedback.<br>• Produce high-quality design deliverables for digital campaigns, print materials, event assets, signage, and branded collateral.<br>• Ensure consistent application of brand standards across programs, events, internal initiatives, and external-facing materials.<br>• Develop fresh creative concepts from initial idea through final execution rather than only adapting existing templates.<br>• Coach internal team members on effective use of design tools, templates, and brand resources, including Canva-based assets.<br>• Partner with communications leadership and cross-functional stakeholders to translate goals into compelling visual solutions.<br>• Participate in meetings, events, and occasional travel as needed to support organizational projects and creative initiatives.
We are looking for a Senior MLOps Engineer to strengthen our machine learning infrastructure in King of Prussia, Pennsylvania. This hybrid position will focus on building dependable systems that support the full model lifecycle, from data preparation and training to deployment and ongoing performance oversight. The role works closely with machine learning and engineering partners to improve reliability, scalability, and cost efficiency across production ML operations.<br><br>Responsibilities:<br>• Lead the design, maintenance, and enhancement of the machine learning platform that supports experimentation, training workflows, model versioning, deployment, and production observability.<br>• Develop and operate resilient data pipelines for model training and live inference, including processes for replaying historical data, recovering from source interruptions, and handling delayed or inconsistent inputs.<br>• Establish data handling practices that preserve time-accurate training sets so models are built on information available at the correct point in time.<br>• Create repeatable pathways for promoting validated models into production while maintaining consistency, traceability, and operational stability.<br>• Implement standards that make training runs reproducible, allowing teams to reliably compare results and investigate performance changes.<br>• Track model behavior in production over time, including delayed outcome validation, and surface issues that affect model quality or business impact.<br>• Optimize infrastructure and workflows to manage compute and data costs as usage expands across larger datasets and multiple deployed models.<br>• Collaborate with ML engineers on model assessment, production readiness, and technical decision-making related to deployment strategies and platform improvements.<br>• Contribute to architecture planning and recommend enhancements to the broader ML and operational ecosystem using sound engineering practices.<br>• Support cloud-native operations using AWS, Kubernetes, Terraform, and Ansible to maintain scalable and well-managed environments.
<p>We are looking for a hands-on IT Cable Technician to support users and maintain technology environments across sites in Savannah, Georgia. This contract-to-permanent position blends day-to-day technical support with field-based hardware installation, structured cabling, and physical security system work. The ideal candidate is comfortable troubleshooting end-user issues, deploying equipment, and assisting with network and low-voltage infrastructure projects in a fast-paced Information Technology setting.</p><p><br></p><p>Responsibilities:</p><p>• Deliver first- and second-level support for computers, laptops, printers, mobile devices, and other end-user equipment, resolving issues efficiently and professionally.</p><p>• Configure, maintain, and troubleshoot Windows 10 and Windows 11 systems to keep employee devices operating reliably.</p><p>• Manage core Microsoft environments by handling account administration, group access, password support, and user permissions within Active Directory and Microsoft 365.</p><p>• Prepare, install, and refresh workstations, software, and peripheral hardware for both new employees and existing staff.</p><p>• Investigate and resolve connectivity problems involving wired networks, wireless access, and workstation communication issues.</p><p>• Install and support IP-based cameras, surveillance hardware, and access control equipment as part of onsite security technology initiatives.</p><p>• Perform low-voltage cabling tasks such as routing, labeling, terminating, and testing Cat5e and Cat6 cabling for new and existing network runs.</p><p>• Build out and maintain structured cabling components including patch panels, network drops, and related infrastructure while verifying performance against standards.</p><p>• Record technical findings, resolutions, device details, and infrastructure information to maintain accurate support and network documentation.</p><p>• Partner with external vendors and internal stakeholders on equipment rollouts, office changes, and other infrastructure improvement projects.</p>
We are looking for a Principal Radar Systems Engineer to lead the system definition, performance analysis, and verification of advanced radar solutions in Lindon, Utah. This position is suited for an experienced engineer who can connect architecture, subsystem design, and test strategy while working across software, firmware, RF, electronics, and mechanical disciplines. The role combines deep technical ownership with hands-on validation, helping ensure radar capabilities meet operational objectives from concept through field testing.<br><br>Responsibilities:<br>• Direct system-level design activities for advanced radar platforms, including architecture development, interface definition, and performance allocation across subsystems.<br>• Evaluate radar behavior using core principles such as waveform selection, range prediction, target response, detection performance, and tracking accuracy.<br>• Perform analytical studies to assess key metrics including detection range, angle estimation precision, target characterization, and interference effects in multi-radar environments.<br>• Guide the integration of radar assemblies and supporting subsystems into broader product architectures, resolving cross-domain technical issues as they arise.<br>• Create, maintain, and refine system requirements to ensure traceability, technical consistency, and alignment with operational needs.<br>• Plan and execute verification and validation efforts throughout the development lifecycle, using analysis, inspection, demonstration, and formal testing methods.<br>• Establish scalable test strategies for laboratory, integration, and field environments, and produce the associated plans, procedures, and final reports.<br>• Lead indoor and outdoor radar test campaigns, coordinating instrumentation, logistics, data collection, and deployment activities in varied operating conditions.<br>• Investigate performance anomalies through structured troubleshooting and root-cause analysis, and implement disciplined practices for test data storage and tracking.
<p>We are looking for an experienced Server and Storage Engineer to support and enhance enterprise infrastructure operations for our Minneapolis client. This position focuses on maintaining reliable server, storage, virtualization, and backup environments while strengthening performance visibility across critical systems. The ideal candidate brings deep technical expertise, a proactive approach to problem-solving, and the ability to help modernize infrastructure with cloud-aligned technologies.</p><p><br></p><p>Responsibilities:</p><p>• Manage and optimize enterprise server and storage platforms to ensure high availability, resilience, and consistent performance across the environment.</p><p>• Administer NetApp storage solutions and VMware infrastructure, including configuration, capacity planning, maintenance, and operational support.</p><p>• Oversee backup and recovery processes for business-critical systems, validating data protection strategies and recovery readiness.</p><p>• Use monitoring and observability platforms such as Dynatrace, Datadog, or New Relic to identify issues, analyze trends, and improve system health.</p><p>• Support core Microsoft infrastructure, including Windows Server, Active Directory, Azure Active Directory, and Exchange services.</p><p>• Maintain and improve virtualized environments and related infrastructure components to meet security, performance, and scalability requirements.</p><p>• Collaborate with cross-functional technology teams on infrastructure improvements, cloud-related initiatives, and long-term platform strategy.</p><p>• Troubleshoot complex server, storage, and connectivity issues, driving timely resolution and minimizing operational disruption.</p>
We are looking for a Staff Software Engineer, AI to help build the core platform that powers enterprise-grade intelligent agents in Minneapolis, Minnesota. In this role, you will tackle complex technical challenges across distributed systems, applied artificial intelligence, security, and platform engineering while creating reliable capabilities for demanding business use cases. You will work closely with product, engineering, machine learning, and security teams to guide architectural decisions and deliver scalable agent-driven solutions.<br><br>Responsibilities:<br>• Drive the technical direction of the agent platform, shaping how agents plan tasks, make decisions, manage execution flow, and produce structured outcomes in production environments.<br>• Develop multi-layered memory capabilities that support short-term context, historical interactions, knowledge retrieval, and persistent workflow state while enforcing retention and access policies.<br>• Build secure execution frameworks for agent operations using isolated containerized environments with strong controls for resources, network access, credentials, and tenant separation.<br>• Create dependable orchestration patterns that enable asynchronous processing, delegated work, checkpointing, restartability, retry logic, and recovery from operational failures.<br>• Implement extensible integrations with internal and external tools, ensuring strong authentication, authorization boundaries, and protections against unsafe or manipulated actions.<br>• Establish evaluation frameworks and observability practices to assess quality, reliability, latency, correctness, and cost, then use findings to improve agent performance over time.<br>• Partner with cross-functional stakeholders to translate high-impact business workflows into scalable AI agent capabilities that support complex enterprise needs.
<p>We are looking for an Enterprise Solutions Engineer to help strengthen and advance enterprise collaboration and AI platforms in Houston TX. This Long-term Contract position focuses on administering, securing, and improving Microsoft 365 and supported AI environments so they remain reliable, compliant, and scalable. The role works across platform governance, operational support, and AI enablement while partnering with stakeholders to drive adoption and manage complex escalations.</p><p><br></p><p>Responsibilities:</p><p>• Strengthen governance standards and operational controls across Microsoft 365 and enterprise AI platforms to support secure, consistent usage.</p><p>• Design and refine workflows using AvePoint and native Microsoft capabilities to improve oversight, automation, and lifecycle management.</p><p>• Administer and enhance Microsoft Purview capabilities, including retention policies, sensitivity labeling, insider risk controls, and broader data governance practices.</p><p>• Deliver advanced support for escalated issues involving SharePoint, Teams, OneDrive, Entra ID, Purview, Power Platform, AvePoint, and approved AI solutions.</p><p>• Manage AI platform administration activities such as configuration, access governance, usage controls, and issue resolution.</p><p>• Evaluate platform health and workspace quality, then implement improvements that reduce unnecessary sprawl and improve user experience.</p><p>• Coordinate communication and rollout efforts for new platform features, governance updates, and AI-related capabilities across distributed teams.</p><p>• Partner with regional and global stakeholders to address governance exceptions, access concerns, and consistency in platform practices.</p><p>• Create and monitor dashboards and reports that measure adoption, usage trends, governance performance, risk indicators, and AI activity.</p><p>• Provide leadership with clear analysis and practical recommendations based on operational data and governance insights.</p>
We are looking for an Enterprise Solutions Engineer to support and enhance enterprise collaboration and AI platforms in Greenwood Village, Colorado. This Long-term Contract position focuses on strengthening Microsoft 365 environments, advancing governance practices, and helping the organization scale secure, compliant solutions. The role is well suited for someone who can balance platform administration, operational support, and stakeholder collaboration while driving continuous improvement across modern workplace technologies.<br><br>Responsibilities:<br>• Strengthen governance standards and operational controls across Microsoft 365 and supported enterprise AI environments to improve security, compliance, and scalability.<br>• Configure and refine workflows using AvePoint and native Microsoft capabilities to support effective platform oversight and policy execution.<br>• Administer and enhance Microsoft Purview features such as retention, sensitivity labeling, insider risk controls, and information lifecycle processes.<br>• Support the management of enterprise AI platforms by helping enforce policies, oversee access structures, and maintain responsible agent lifecycle practices.<br>• Investigate complex escalations and deliver advanced support across SharePoint, Teams, OneDrive, Entra ID, Purview, Power Platform, AvePoint, and approved AI tools.<br>• Monitor platform health, assess collaboration environments, and recommend improvements that reduce workspace sprawl and raise overall service quality.<br>• Carry out governance and administrative tasks through Microsoft 365 and related platform management consoles.<br>• Partner with global teams to communicate changes, support adoption of new capabilities, and promote consistent implementation across regions.<br>• Develop dashboards and reporting that measure usage trends, governance effectiveness, adoption levels, and potential risk indicators to guide leadership decisions.
Position: AI / Machine Learning Engineer - Direct Hire Permanent Opportunity<br>Location: Hybrid - Des Moines, IA<br>Salary: $80,000 - 100,000 base annual salary plus exceptional benefits<br><br>*** For immediate and confidential consideration, please APPLY and EMAIL YOUR RESUME to MEREDITH CARLE . My email can be found on my LinkedIn page. ***<br><br>AI / Machine Learning Engineer<br>Are you passionate about applying machine learning and advanced analytics to solve real-world business challenges?<br>We're partnering with an established and growing technology consulting organization seeking an AI / Machine Learning Engineer to help expand its AI, predictive analytics, and data science capabilities.<br>In this highly visible role, you'll work directly with business leaders and analysts to develop machine learning models, improve anomaly detection, build forecasting solutions, and influence the future direction of the company's AI initiatives.<br>What You'll Do<br> • Develop and improve machine learning and predictive analytics models<br> • Analyze complex data using Python and SQL<br> • Support anomaly detection, forecasting, and advanced analytics initiatives<br> • Evaluate model performance and recommend improvements<br> • Collaborate with analysts, stakeholders, and leadership to solve business problems<br> • Help shape AI/ML tools, methodologies, and best practices<br>What We're Looking For<br> • 1-3+ years of AI, Machine Learning, Data Science, or Advanced Analytics experience<br> • Strong Python skills with libraries such as Pandas, NumPy, and Scikit-Learn<br> • Experience with statistical modeling, predictive analytics, and machine learning<br> • Strong SQL and data analysis skills<br> • Ability to explain technical concepts to both technical and non-technical audiences<br> • Collaborative, self-directed, and entrepreneurial mindset<br>Why Join?<br> • Make a visible impact in a growing AI/ML practice<br> • Work directly with decision-makers and leadership<br> • Collaborative, team-oriented culture with exceptional employee tenure<br> • Hybrid work environment<br> • Opportunity to influence strategy, architecture, and future AI initiatives<br> • Competitive compensation and benefits<br><br>This is an excellent opportunity for someone who enjoys combining technical depth, business impact, and hands-on problem solving in a flexible, entrepreneurial environment.<br><br>*** For immediate and confidential consideration, please APPLY and EMAIL YOUR RESUME to MEREDITH CARLE . My email can be found on my LinkedIn page. Also, you may contact me at 515-303-4654. Or one click apply on our Robert Half website. No third party inquiries please. Our client cannot provide sponsorship and cannot hire C2C. ***
We are looking for a Systems Engineer III to support product issue management and backlog coordination for related product lines in Raleigh, North Carolina. This long-term position focuses on driving investigations, aligning cross-functional stakeholders, and helping teams meet program objectives for both existing products and new development efforts. The role works closely with partners across engineering, quality, regulatory, operations, medical affairs, sales, service, and marketing to clarify requirements, resolve product concerns, and maintain strong documentation practices.<br><br>Responsibilities:<br>• Lead structured reviews of reported product problems by partnering with technical experts to identify root cause and next steps.<br>• Evaluate each issue for business and product impact, including severity, affected users, connected systems, occurrence patterns, and impacted versions.<br>• Establish reliable reproduction methods for reported anomalies and capture any interim controls or workarounds already in use.<br>• Record the potential risk of unresolved issues and ensure gaps in risk documentation are directed to the appropriate owner for action.<br>• Oversee intake and triage of newly submitted issue records, closing duplicate entries with clear justification and advancing unique findings for deeper analysis.<br>• Produce accurate, audit-ready records that summarize investigation results, supporting evidence, decisions, and final disposition.<br>• Maintain complete and factual quality documentation in the designated tracking system, ensuring all required fields are addressed appropriately.<br>• Coordinate cross-functional timelines, follow up on commitments, and escalate concerns when delivery targets or budget expectations are at risk.<br>• Raise urgent product concerns for formal review when they affect safety-related requirements, risk controls, or approved label claims.
We are looking for an Applied AI Training Engineer to join a Contract opportunity in San Francisco, California. This role focuses on shaping high-quality data and evaluation assets that strengthen how large language models learn specialized enterprise software concepts, workflows, and decision patterns. The ideal candidate will combine AI training expertise, strong technical judgment, and close collaboration with subject matter experts to improve model accuracy, consistency, and real-world usefulness across complex business scenarios.<br><br>Responsibilities:<br>• Develop structured training examples that help large language models learn enterprise software behaviors, terminology, and task flows with precision.<br>• Collaborate with subject matter experts to convert product knowledge, process logic, and business context into usable datasets for model training.<br>• Define data design approaches that expand domain coverage and support reliable model performance across a wide range of user scenarios.<br>• Build, organize, and enhance large-scale datasets, including generating synthetic examples when they add value to model learning.<br>• Review model responses, investigate failure patterns, and adjust training content to close knowledge gaps and improve output quality.<br>• Establish reusable frameworks, taxonomies, and teaching methods for introducing new concepts, schemas, and specialized domains to AI systems.<br>• Create benchmark datasets and evaluation methods to measure reasoning quality, factual accuracy, coverage, and generalization.<br>• Implement quality controls that detect inconsistency, ambiguity, imbalance, and missing information within training data collections.<br>• Write and maintain Python-based tools to create, transform, validate, and manage training data efficiently at scale.<br>• Refine model behavior to better align responses with customer expectations, domain expertise, and intended software functionality.
<p>We’re seeking a Staff Software Engineer to lead technical strategy and execution across a product domain or platform area spanning multiple teams. In this role, you will own outcomes end-to-end by defining success metrics, shaping the roadmap, and driving measurable improvements over time.</p><p><br></p><p>You will set the architectural direction for scalable APIs, backend services, data platforms, and event-driven systems that operate across team boundaries. You’ll also lead the most complex work related to performance, scalability, and reliability.</p><p>As a senior technical leader, you will raise the engineering bar across the organization by establishing standards, creating reusable platforms and patterns, improving documentation practices, simplifying systems, and reducing technical debt.</p><p>You’ll be responsible for making and communicating high-impact technical decisions across architecture, security, performance, cost, and scalability. This includes identifying risks early and designing safeguards before they become incidents.</p><p>This role requires close partnership with Product, Design, Machine Learning, Client Success, and engineering leadership to shape strategy, turn ambiguous business goals into clear multi-quarter technical plans, and align teams on execution.</p><p>You will also help define how the organization adopts AI-assisted and agentic development practices by establishing guardrails for verification, security, and human accountability in production decisions, while measuring the real impact these tools create.</p><p>In addition, you will mentor senior engineers, influence technical direction across the organization, lead architecture reviews, and remain hands-on with the highest-impact technical work.</p><p><br></p>
We are looking for an experienced Profisee MDM Engineer to help strengthen and evolve a master data management environment in Bloomington, Minnesota. This Long-term Contract position will focus on improving platform performance, elevating data reliability, and creating more efficient stewardship practices that support broader business use. The role will work closely with technical and business partners to expand the value of master data across connected systems, analytics, and operational processes.<br><br>Responsibilities:<br>• Evaluate the current Profisee MDM landscape and define a practical strategy to enhance scalability, usability, and long-term sustainability.<br>• Refine platform design and configuration to eliminate unnecessary complexity and improve ongoing supportability.<br>• Create and implement automated solutions that reduce manual stewardship tasks and increase process efficiency.<br>• Strengthen data quality controls, governance practices, and monitoring to improve trust in critical master data assets.<br>• Collaborate with cross-functional teams to connect master data with enterprise applications, reporting tools, and downstream data platforms.<br>• Support platform upgrades, stabilization efforts, and remediation activities that improve reliability and reduce technical debt.<br>• Analyze master data structures and profiling results to identify improvement opportunities and resolve data-related issues.<br>• Contribute to integration and pipeline support for master data movement across APIs, analytics environments, and business systems.
<p>We are seeking a Senior Cloud Security Engineer to help protect and secure enterprise cloud environments across Azure and AWS. This role will focus on security architecture, threat detection, incident response, and the implementation of cloud security best practices.</p><p>Responsibilities</p><ul><li>Design and implement cloud security controls across Azure and AWS</li><li>Manage and enhance SIEM, EDR, and vulnerability management platforms</li><li>Investigate security incidents and perform root-cause analysis</li><li>Implement Zero Trust and identity security initiatives</li><li>Conduct security assessments and support remediation efforts</li><li>Develop security automation using PowerShell or Python</li><li>Partner with infrastructure and application teams to improve security posture</li></ul><p><br></p>
<p>We are looking for a Site Reliability Engineer to support a greenfield Trade Compliance and Innovation initiative. This role will serve as the primary SRE for one team while partnering closely with another SRE supporting a second team within a geographically distributed team.</p><p><br></p><p><strong>Key Responsibilities:</strong></p><p>· Serve as the primary Site Reliability Engineer supporting Azure-based applications and platforms.</p><p>· Design, build, automate, and maintain cloud infrastructure across development, testing, and production environments.</p><p>· Implement Infrastructure as Code (IaC) solutions using Terraform and other cloud automation tools.</p><p>· Partner with software engineering teams to improve deployment processes, reliability, scalability, and system performance.</p><p>· Support Java and Python-based microservices deployed in Azure environments.</p><p>· Manage and support Azure Container Apps (ACA), Kubernetes, and AKS environments.</p><p>· Implement and support CI/CD pipelines using GitHub and cloud-native deployment tools.</p><p>· Drive operational excellence through automation, monitoring, alerting, logging, and incident response.</p><p>· Research and resolve infrastructure, networking, and platform-related issues across complex systems.</p><p>· Create and maintain infrastructure documentation, architecture diagrams, and operational procedures.</p><p>· Ensure adherence to security standards, resiliency requirements, and infrastructure best practices.</p><p>· Support blue-green deployments, scaling strategies, and non-functional requirements (NFRs).</p>
<p>Robert Half is expanding its network of Embedded Software Engineers for potential opportunities supporting industrial automation, connected equipment, and manufacturing technology.</p><p>Unlike traditional web or enterprise software roles, these opportunities focus on developing software that interacts directly with hardware and physical equipment.</p><p>We are seeking engineers who enjoy working close to the hardware, investigating challenging technical issues, and developing reliable firmware for microcontroller-based systems.</p><p>Potential projects may involve embedded controllers, industrial sensors, connected equipment, machine monitoring systems, and next-generation manufacturing technology.</p><p>Primary Responsibilities</p><ul><li>Design, develop, test, and maintain embedded software using C and C++.</li><li>Develop firmware for microcontroller-based devices, including ARM Cortex-M or comparable architectures.</li><li>Work with real-time operating systems such as FreeRTOS, Zephyr, or similar platforms.</li><li>Implement low-level drivers, hardware abstraction layers, bootloaders, and firmware application logic.</li><li>Interface with sensors, actuators, communication modules, and other embedded hardware components.</li><li>Develop and troubleshoot communication interfaces such as SPI, I2C, UART, and CAN bus.</li><li>Collaborate with electrical and hardware engineers during board bring-up, hardware integration, and system validation.</li><li>Diagnose firmware issues using JTAG/SWD debuggers, oscilloscopes, logic analyzers, and other laboratory equipment.</li><li>Optimize software for memory usage, timing requirements, power consumption, and processor performance.</li><li>Develop automated unit tests and hardware-in-the-loop testing procedures.</li><li>Investigate system failures and document root causes, corrective actions, and test results.</li><li>Support prototype testing, production validation, and manufacturing-related firmware changes.</li><li>Participate in firmware code reviews, technical documentation, and release management activities.</li><li>Contribute to secure device communication and firmware update functionality where applicable.</li></ul><p><br></p>
<p>We are looking for a MLOps Engineer II w/ a focus on GPU Compute to join a team in Coppell, Texas, on a Long-term Contract assignment. In this role, you will design and refine vision-based AI solutions that support real-world image and video use cases, while partnering with cross-functional teams to move ideas from research into production. The position is ideal for someone who combines strong machine learning expertise with practical understanding of hardware constraints and model performance in live environments.</p><p><br></p><p><strong>Responsibilities:</strong></p><p>•Deploy GPUs (Graphics Processing Units) workflows in a retail environment that requires processing massive amounts of image, video, customer, and transaction data.</p><p>•Design, build, and enhance computer vision and machine learning models for use cases involving object detection, image segmentation, classification, and video-based analysis.</p><p>•Compare modeling approaches, assess trade-offs across accuracy, speed, and scalability, and recommend fit-for-purpose solutions aligned with business goals.</p><p>•Train and adapt deep learning models using frameworks such as PyTorch or TensorFlow, applying techniques like transfer learning and optimization for efficient performance.</p><p>•Establish evaluation methods, track key performance measures, investigate error patterns, and iterate on models to improve reliability and response time.</p><p>•Incorporate practical considerations related to cameras, sensors, lighting conditions, and edge hardware when developing and tuning solutions.</p><p>•Create and support data preparation, annotation, and validation workflows that enable consistent experimentation and dependable deployment.</p><p>•Work closely with software, hardware, and MLOps partners to transition models from proof of concept into production-ready applications.</p><p>•Contribute to deployment readiness by helping optimize models for inference and operational use in resource-constrained environments.</p>
<p><strong>Security Architect</strong></p><p><br></p><p><strong>Company Overview</strong></p><p>A growing organization is seeking a Security Architect to support enterprise security initiatives across infrastructure, applications, cloud services, and business systems. This role offers an opportunity to work within a collaborative technology environment focused on modernizing security practices and enabling business growth through secure technology solutions.</p><p><br></p><p><strong>Role Summary</strong></p><p>The Security Architect will play a key role in shaping and advancing the organization's security program. This individual will work closely with technology and business stakeholders to establish security standards, provide architectural guidance, assess risk, and support the secure adoption of new technologies. The ideal candidate combines strategic thinking with hands-on technical expertise and enjoys solving complex security challenges across a diverse technology environment.</p><p><br></p><p><strong>Key Responsibilities</strong></p><ul><li>Develop and maintain security architecture standards, guidelines, and best practices.</li><li>Partner with technology teams to integrate security considerations into projects and operational initiatives.</li><li>Evaluate systems, platforms, and technology solutions to identify and address security risks.</li><li>Provide architectural guidance for cloud, infrastructure, application, and data protection initiatives.</li><li>Support the development of security roadmaps aligned with business and technology objectives.</li><li>Conduct architecture reviews and recommend security improvements across enterprise environments.</li><li>Assist in establishing governance processes, security controls, and risk management practices.</li><li>Collaborate with stakeholders to improve cybersecurity maturity and operational effectiveness.</li><li>Support the evaluation and adoption of emerging technologies and security solutions.</li><li>Contribute to continuous improvement initiatives that strengthen the organization's overall security posture.</li></ul>
<p>We are looking for a PLC Programmer/Automation Engineer to join a growing automation team in NW Tampa, FL area. This position focuses on developing and supporting process control solutions for bulk material handling, batching, weighing, mixing, and related industrial systems. The role is ideal for an engineer who enjoys combining PLC programming, HMI/SCADA development, and field commissioning to deliver reliable automation systems across complex manufacturing environments.</p><p><br></p><p>Responsibilities:</p><p>• Design, program, and test PLC-based control systems for industrial processing and bulk ingredient handling applications using Rockwell Automation platforms.</p><p>• Develop HMI and SCADA interfaces that give operators clear visibility into system performance, process status, and alarm conditions.</p><p>• Configure instrumentation and control devices, then support startup, tuning, and on-site commissioning to ensure systems perform as intended.</p><p>• Interpret process flow diagrams, P&IDs, and electrical schematics to translate engineering requirements into effective automation logic.</p><p>• Partner with project managers, electrical design teams, and startup personnel to coordinate implementation activities and resolve technical issues.</p><p>• Troubleshoot control hardware, industrial networks, drives, and connected field equipment to maintain reliable system operation.</p><p>• Assist with integrating third-party equipment and vendor systems into broader plant automation architectures.</p><p>• Travel to customer sites as needed to support validation, system checkout, operational readiness, and user training.</p>
<p>We’re hiring a hands-on Staff Software Engineer to lead development in a critical area of AI-enabled product infrastructure. In this role, you will build and evolve the systems that determine what AI-powered experiences can access, use, and reference in real time. This work is central to ensuring outputs are accurate, timely, secure, and grounded in the right information.</p><p><br></p><p>You will focus on designing and improving retrieval and context systems that support intelligent applications operating in complex, high-trust environments. That includes helping systems identify the right content, manage changing information, and enforce strict access boundaries. You’ll work primarily in Python and collaborate closely with cross-functional partners in product, data, and engineering.</p><p>This is a highly hands-on role for someone who wants to directly influence the architecture, quality, and safety of AI-driven capabilities.</p><p><br></p><p>What You’ll Do</p><ul><li>Lead the design and improvement of retrieval systems that support AI-powered workflows in production environments</li><li>Ensure application outputs are grounded in the right source material, with the appropriate balance of quality, performance, and cost</li><li>Build systems that can process and reason over large volumes of unstructured and structured content</li><li>Develop search and context tools that surface trustworthy source excerpts, references, and relevant content locations</li><li>Maintain alignment between what AI systems can access and what end users are authorized to view</li><li>Help define when AI-generated outputs can be delivered directly and when additional validation or product controls are required</li><li>Influence technical direction across teams and mentor engineers working in adjacent problem spaces</li></ul><p><br></p>
<p>We are seeking an experienced <strong>IT Field Support Technician</strong> for an immediate short-term contract opportunity supporting the New Orleans area. This role involves providing hands-on technical support, troubleshooting hardware and network connectivity issues, and working with technical diagrams and infrastructure layouts.</p>