<p>Robert Half is seeking a <strong>MuleSoft Developer</strong> to support a high-impact integration environment in support of an automobile services client based in Bellevue, WA. This role will focus on strengthening API architecture, integration discipline, security, and overall MuleSoft maturity while helping position the organization for future <strong>Agentic AI</strong> initiatives.</p><p><br></p><p><strong>Duration:</strong> 6 month contract with the potential to convert </p><p><strong>Location: </strong>100% Remote, client is based in Bellevue. </p><p><strong>Schedule: </strong>Monday - Friday Core Business Hours</p><p><br></p><p><strong>Responsibilities</strong></p><ul><li>Design, develop, and support enterprise integrations using <strong>MuleSoft</strong> and <strong>Anypoint Platform</strong>.</li><li>Build and maintain <strong>REST and SOAP APIs</strong> supporting system-to-system integrations.</li><li>Develop event-driven integrations and help transition the organization toward more scalable, event-based architecture.</li><li>Leverage <strong>Microsoft Azure</strong> services to support integration, API, and cloud-based solutions.</li><li>Implement secure integrations using <strong>OAuth</strong>, Azure security services, and <strong>Azure Key Vault</strong>.</li><li>Help establish stronger API development standards, governance, architecture, and engineering discipline across the MuleSoft environment.</li><li>Collaborate with architects, engineers, product owners, and business stakeholders to define integration solutions and technical requirements.</li><li>Participate in weekly Agile sprints, including sprint planning, backlog refinement, burn-downs, and delivery activities.</li><li>Troubleshoot integration issues and provide Level 2/3 technical support for production systems.</li><li>Contribute to the evolution of MuleSoft capabilities supporting future <strong>Agentic AI</strong> and intelligent workflow initiatives.</li><li>Help integrate MuleSoft with SaaS platforms and emerging technologies as the organization continues to modernize its application ecosystem.</li></ul><p><br></p>
<p>We are looking for an Embedded Controls Engineer to join our team in Greater Cleveland, Ohio. This role focuses on developing real-time control software for industrial power conversion products, combining embedded programming with close interaction with hardware. The ideal candidate brings strong experience in power electronics, control implementation, and embedded interface development, and is comfortable working across firmware, diagnostics, and system validation.</p><p><br></p><p>Responsibilities:</p><p>• Design and implement embedded control software for industrial power conversion systems with an emphasis on stability, performance, and real-time operation.</p><p>• Develop firmware in C and C++ for microcontroller- and DSP-based platforms, integrating timing-critical functions and low-level hardware control.</p><p>• Create and refine control algorithms for converters, inverters, rectifiers, and regulated DC systems based on application and system requirements.</p><p>• Interface directly with hardware components such as ADCs, PWMs, timers, and interrupt-driven subsystems to support accurate sensing and control behavior.</p><p>• Build and maintain embedded web-based user interfaces and device-hosted web services using modern browser technologies and lightweight network stacks.</p><p>• Troubleshoot and validate system behavior using laboratory instrumentation such as oscilloscopes, logic analyzers, and power analyzers.</p><p>• Support communication and interoperability across embedded platforms using industrial and device-level protocols where required.</p><p>• Contribute to simulation, test automation, and hardware-in-the-loop validation activities to improve software reliability and development efficiency.</p>
We are looking for an experienced Platform Engineer - Web & AI Applications to support the growth of customer-facing digital products in Naperville, Illinois. This Long-term Contract position focuses on improving the performance, resilience, and extensibility of web and mobile experiences while helping shape modern application architecture. The role will contribute to AI-enabled features, scalable frontend solutions, and dependable platform capabilities that serve a large user base.<br><br>Responsibilities:<br>• Design and enhance web application components using React to deliver responsive, intuitive user experiences across digital channels.<br>• Build and strengthen backend services and platform features that improve reliability, scalability, and maintainability for customer-facing applications.<br>• Optimize website speed, availability, and capacity to support high volumes of traffic and consistent performance.<br>• Develop and integrate AI-driven capabilities, including large language model functionality and conversational chatbot experiences, into web and mobile products.<br>• Partner with cross-functional teams to define technical approaches, implement modern architecture patterns, and deliver features aligned with business goals.<br>• Support the broader web and mobile application ecosystem by addressing platform needs, resolving production issues, and improving operational stability.<br>• Apply contemporary engineering practices and AI-assisted development methods to accelerate delivery and elevate code quality.<br>• Contribute to web infrastructure and publishing environments where needed, including support for web servers, site administration tools, and related platform technologies.
<p>obert Half is seeking a Software Engineer II – AI Engineer to analyze, design, program, debug, test, implement, and support the privacy, security, and governance controls that protect generative AI technologies. This role safeguards GenAI-enabled applications, including LLM-powered workflows, RAG pipelines, plugins, skills, and autonomous agents, by embedding data protection, security guardrails, and responsible AI governance across the development lifecycle. </p><p> </p><p>This role supports SDLC documentation across all phases, with a focus on data privacy, security guardrails, governance, compliance, and risk management. It also works with users to define requirements and support applications in production. </p><p><strong>What You’ll Do</strong> </p><ul><li>Design and implement data privacy controls, including PII/PHI detection, redaction, and data minimization. </li><li>Build security guardrails, including prompt-injection defense, jailbreak prevention, and output filtering. </li><li>Establish governance for plugins, skills, and agents, including registration, approval, and lifecycle management. </li><li>Review and vet third-party plugins, skills, and agent tools for security, privacy, and compliance risks. </li><li>Define and enforce access controls, authentication, and least-privilege permissions for AI components. </li><li>Implement guardrails for autonomous agents, including action scoping, tool-use restrictions, and human-in-the-loop approval. </li><li>Apply data classification, retention, and residency policies across GenAI data flows. </li><li>Monitor AI systems for policy violations, data leakage, and anomalous plugin, skill, or agent behavior. </li><li>Maintain audit trails and logging for plugin, skill, and agent activity. </li><li>Support compliance with regulations and frameworks, including GDPR, CCPA, and the EU AI Act. </li><li>Provide Level II production support for security, privacy, and governance incidents. </li><li>Support incident response, including containment, escalation, and remediation. </li></ul>
We are looking for an Infrastructure Engineer to support and enhance a complex municipal technology environment in Florida. This contract-to-permanent opportunity is ideal for a hands-on systems specialist who can manage core infrastructure, strengthen platform reliability, and help maintain secure and efficient operations across on-premises and cloud-based systems. The role blends server administration, virtualization, backup oversight, network support, and technical collaboration with a broader IT team.<br><br>Responsibilities:<br>• Oversee daily administration of core infrastructure platforms, including servers, storage systems, endpoint devices, backups, cloud resources, and network-connected equipment.<br>• Install, configure, and support technology solutions such as file services, database platforms, printers, communications tools, and application hosting environments.<br>• Manage and optimize virtualized infrastructure across VMware and OpenShift environments in both local and remote settings.<br>• Build, maintain, and troubleshoot Windows and Linux server systems to ensure stable performance and consistent availability.<br>• Investigate software and hardware incidents, perform diagnostics, apply corrective actions, and escalate complex issues when additional technical support is needed.<br>• Safeguard infrastructure security by maintaining access controls, user environments, connected devices, wireless services, and related network components.<br>• Administer backup operations and disaster recovery readiness for enterprise systems while helping ensure business continuity objectives are met.<br>• Maintain accurate technical documentation, including support procedures, troubleshooting guidance, configuration records, and operational manuals.<br>• Collaborate with IT staff on the design, deployment, and support of VPNs, switches, firewalls, routers, wireless networks, and other infrastructure improvements.<br>• Participate in on-call coverage, assist with cross-training efforts, and contribute recommendations on new technologies, upgrades, and replacement strategies.
<p>We are looking for an experienced M365 Engineer to lead and optimize a cloud-first Microsoft 365 ecosystem for a large, distributed user base in Lake Mary, Florida. This position is ideal for a hands-on, detail-oriented individual who can strengthen security, improve endpoint management, and streamline administration through automation. The role will play a key part in maintaining a modern workplace environment that supports both internal employees and global contractors while advancing identity, compliance, and collaboration capabilities.</p><p><br></p><p>Responsibilities:</p><p>• Oversee the day-to-day administration, performance, and ongoing enhancement of the Microsoft 365 environment across the organization.</p><p>• Manage Intune and endpoint management capabilities to secure, configure, and support devices.</p><p>• Design and implement automation solutions that minimize repetitive manual tasks and improve operational efficiency within the M365 platform.</p><p>• Develop and maintain access controls using Conditional Access, multi-factor authentication, and Zero Trust security principles.</p><p>• Administer identity services within Microsoft Entra ID, including user lifecycle support and access governance processes.</p><p>• Support information protection and compliance initiatives through Microsoft Purview and related data governance capabilities.</p><p>• Maintain and improve collaboration services such as SharePoint and OneDrive to ensure reliable and secure document access.</p><p>• Provide technical ownership of a fully cloud-based Microsoft 365 environment.</p>
We are looking for a Computer Vision - AI Engineer 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.<br><br>Responsibilities:<br>•Design, build, and enhance computer vision and machine learning models for use cases involving object detection, image segmentation, classification, and video-based analysis.<br>•Compare modeling approaches, assess trade-offs across accuracy, speed, and scalability, and recommend fit-for-purpose solutions aligned with business goals.<br>•Train and adapt deep learning models using frameworks such as PyTorch or TensorFlow, applying techniques like transfer learning and optimization for efficient performance.<br>•Establish evaluation methods, track key performance measures, investigate error patterns, and iterate on models to improve reliability and response time.<br>•Incorporate practical considerations related to cameras, sensors, lighting conditions, and edge hardware when developing and tuning solutions.<br>•Create and support data preparation, annotation, and validation workflows that enable consistent experimentation and dependable deployment.<br>•Work closely with software, hardware, and MLOps partners to transition models from proof of concept into production-ready applications.<br>•Contribute to deployment readiness by helping optimize models for inference and operational use in resource-constrained environments.
We are looking for a Machine Learning Engineer I (Contractor) to join a team building and improving intelligent software solutions. This Long-term Contract position is well suited for someone who enjoys working across model development, data engineering, and production deployment in a hands-on engineering environment. The role offers the opportunity to support both current applications and early-stage concepts by combining technical execution with careful analysis, testing, and documentation.<br><br>Responsibilities:<br>• Build, improve, and verify machine learning algorithms that support product and application objectives.<br>• Create and maintain end-to-end data workflows that handle ingestion, quality checks, cleansing, and ongoing monitoring.<br>• Train machine learning models, measure performance against validation criteria, and release models that meet requirements into production environments.<br>• Contribute to prototype development and exploratory initiatives that help shape future technical solutions.<br>• Prepare and update technical materials such as evaluation plans, reports, presentations, white papers, test summaries, manuals, and Confluence documentation.<br>• Execute testing activities, analyze outcomes, and document findings through case studies and structured reporting.<br>• Partner with engineering and cross-functional teams to translate technical requirements into practical machine learning solutions.
<p><strong>Agent Platform Engineer</strong></p><p><br></p><p><strong>Company Overview</strong></p><p>A leading artificial intelligence and advanced analytics organization is seeking an Agent Platform Engineer to help develop next-generation AI orchestration and decision-support platforms. Based in Los Angeles, California, the company specializes in integrating complex data sources into scalable intelligence solutions that support mission-critical operations, advanced analytics, and organizational workflows. This is an opportunity to work on cutting-edge AI technologies within a highly collaborative and innovative engineering environment.</p><p><br></p><p><strong>Role Summary</strong></p><p>The Agent Platform Engineer will design, build, and optimize enterprise-grade AI platforms that connect structured and unstructured data, knowledge graphs, retrieval systems, and intelligent workflows. This hands-on role focuses on developing production-ready AI applications, agent frameworks, workflow orchestration systems, retrieval pipelines, and model-serving infrastructure. The ideal candidate combines strong software engineering fundamentals with expertise in AI systems, distributed architectures, and scalable platform development.</p><p><br></p><p><strong>Key Responsibilities</strong></p><ul><li>Design and implement intelligent workflow systems for research, analysis, automation, and decision-support use cases.</li><li>Develop scalable retrieval, search, and knowledge management capabilities across structured and unstructured datasets.</li><li>Build backend services, APIs, and platform capabilities supporting AI-driven applications.</li><li>Create resilient workflow orchestration patterns for long-running, distributed, and fault-tolerant processes.</li><li>Develop authorization, permission management, auditing, and governance mechanisms within AI platforms.</li><li>Optimize retrieval, inference, and execution performance across diverse deployment environments.</li><li>Fine-tune, evaluate, and integrate open-source AI models to support specialized business workflows.</li><li>Implement model routing, inference optimization, caching, and fallback strategies.</li><li>Build evaluation frameworks that measure system accuracy, reliability, performance, and operational effectiveness.</li><li>Develop observability, monitoring, alerting, and troubleshooting capabilities across platform components.</li><li>Partner with product, data, machine learning, infrastructure, security, and customer-facing teams to deliver scalable solutions.</li><li>Contribute to technical architecture, engineering standards, and long-term platform strategy.</li></ul><p><strong>Additional Details</strong></p><ul><li>Fully onsite 5 days per week</li><li>Individual contributor role with substantial technical ownership</li><li>Opportunity to work on advanced AI, automation, retrieval, and knowledge graph technologies</li><li>Staff-level candidates may provide technical leadership, mentorship, and architecture guidance</li><li>Candidates must be authorized to work in the United States and satisfy applicable regulatory employment requirements</li></ul>
<p>Robert Half, one of FORTUNE's World's Most Admired Companies and a Fortune 100 Best Companies to Work For, is seeking a <strong>QA Automation Engineer IV </strong>to join our ATI Salesforce Competency Center. This is a highly visible, architect-level role focused on driving automation strategy, modernizing test frameworks, and enabling quality across enterprise Salesforce initiatives.</p><p><br></p><p>If you enjoy solving complex quality challenges, mentoring engineers, building scalable automation solutions, and working with emerging AI technologies, we'd love to hear from you.</p><p><br></p><p><strong>What You'll Do</strong></p><p>Design, develop, and maintain automated testing solutions for Salesforce applications, APIs, integrations, and enterprise business processes.</p><p>Lead automation strategy across multiple Agile teams, supporting 5-6 Scrum teams simultaneously.</p><p>Build scalable, reusable automation frameworks using <strong>Robot Framework, Selenium, Python</strong>, and related technologies.</p><p>Conduct proof-of-concepts, framework evaluations, and automation architecture reviews.</p><p>Perform code reviews and establish automation best practices across teams.</p><p>Develop automated tests for UI, API, integration, regression, and end-to-end scenarios.</p><p>Create and manage automated test data strategies across Salesforce and integrated platforms.</p><p>Validate Salesforce Lightning applications, workflows, APIs, and MuleSoft integrations.</p><p>Collaborate with developers and product teams to identify automation opportunities early in the development lifecycle.</p><p>Leverage AI-powered testing tools and generative AI solutions to improve test creation, maintenance, execution efficiency, and defect analysis.</p><p>Mentor and train engineers on automation frameworks, quality engineering practices, and emerging technologies.</p>
<p>We are looking for a Full Stack AI Engineer for a long-term consultant position. This role is responsible for designing, building, and delivering end-to-end intelligent applications and agentic AI systems that enable automation, decision-making, and enhanced user experiences across our client's enterprise landscape.</p><p> </p><p>This role combines full-stack software engineering with applied AI to develop systems that can reason, plan, and execute tasks autonomously. The engineer partners with product, architecture, and business teams to translate complex requirements into scalable, production-ready solutions that integrate seamlessly with enterprise platforms, data, and processes.</p><p> </p><p>The position emphasizes hands-on development, system integration, and continuous delivery of business value, ensuring AI-enabled capabilities are reliable, secure, and aligned with enterprise standards while advancing innovation and operational efficiency.</p>
<p>Robert Half is seeking a Software Engineer II – AI Engineer who will analyze, design, program, debug, test, implement, deploy, and support software enhancements and new applications using Generative AI technologies. This role contributes to the development and production deployment of GenAI-enabled applications, including LLM-powered workflows, RAG pipelines, and AI-driven user experiences. </p><p> </p><p>This role supports SDLC documentation across all phases, with a focus on deployment, evaluation, observability, safety, and monitoring. It also interacts with users to define requirements and support applications in production. </p><p><strong>What You’ll Do</strong> </p><ul><li>Develop and modify application modules, including GenAI components. </li><li>Build prompt workflows, retrieval layers, APIs, and cloud services. </li><li>Troubleshoot production issues, including latency, hallucinations, and errors. </li><li>Provide Level II production support for deployed systems. </li><li>Design components, including LLM integrations and RAG pipelines. </li><li>Implement CI/CD pipelines, containerization, and release processes. </li><li>Develop RAG pipelines with embeddings, chunking, and vector search. </li><li>Apply prompt engineering techniques, including few-shot prompting and structured outputs. </li><li>Evaluate models for accuracy, relevance, and hallucination risk. </li><li>Implement safety guardrails, including PII protection and prompt-injection defense. </li><li>Execute testing, including unit, integration, and GenAI evaluation testing. </li><li>Monitor production systems for latency, cost, usage, and errors. </li><li>Support incident management with fallback and recovery strategies. </li></ul><p><br></p>
Robert Half is partnering with a large technology-driven organization seeking a Senior AI Software Engineer to join a growing team focused on developing and scaling enterprise AI solutions. This role is ideal for a hands-on engineer who has successfully delivered AI-powered applications into production and enjoys solving complex business problems through software engineering, automation, and modern AI technologies. The position offers exposure to high-impact initiatives that support innovation, operational efficiency, and technology transformation across the organization.
We are looking for an Azure Cloud Engineer – AI & Automation to join a contract opportunity based in Pennsylvania. In this role, you will help shape and support secure Azure environments while enabling AI-driven capabilities across cloud infrastructure, automation, and platform operations. This position is ideal for someone who enjoys balancing hands-on engineering with governance, reliability, and scalable delivery practices in a highly regulated environment.<br><br>Responsibilities:<br>• Create and support Azure-based solutions spanning infrastructure, connectivity, identity, storage, and managed platform services in line with enterprise architecture and security expectations.<br>• Develop and optimize deployment automation using infrastructure-as-code and modern release pipelines through tools such as Azure DevOps, GitHub Actions, Bicep, and Terraform.<br>• Operate and administer AI services across Azure AI Foundry, Azure OpenAI, Claude, and related platforms, including model setup, permission management, policy enforcement, evaluation, and live environment support.<br>• Establish and govern secure integrations for Model Context Protocol and connected enterprise systems by applying strong authentication, access controls, and data protection standards.<br>• Manage APIs, event-driven components, and security gateway configurations that enable AI services and automated workflows to connect with business applications reliably.<br>• Build retrieval-augmented AI solutions using Azure AI Search, embeddings, and vector-based data patterns to improve access to enterprise knowledge.<br>• Maintain and enhance automation solutions built with Power Automate, Logic Apps, and Copilot Studio, supporting integrations with Microsoft 365, Teams, SharePoint, and ServiceNow.<br>• Strengthen cloud governance through Azure Policy, tagging strategy, cost oversight, monitoring, logging, and operational observability tools such as Azure Monitor and Application Insights.<br>• Support Microsoft Fabric administration by overseeing tenant settings, workspace permissions, capacity controls, data access, and usage visibility across supported workloads.<br>• Contribute technical documentation, reusable standards, KPI/KRI reporting, change review activities, and incident or release support for cloud and AI environments.
<p>We are looking for a Data Labeler to support high-quality dataset preparation for machine learning initiatives in San Francisco, California. This Long-term Contract position focuses on reviewing and organizing text, image, audio, and video content so AI models can be trained with reliable, well-structured information. The ideal candidate brings strong editorial judgment, accuracy, and the ability to apply detailed standards consistently across large volumes of content.</p><p><br></p><p>Responsibilities:</p><p>• Evaluate and label content across multiple data formats, including written material, images, audio files, and video, using defined annotation standards.</p><p>• Apply tags, classifications, and descriptive markers to datasets so they can be used effectively in AI and machine learning training workflows.</p><p>• Inspect content for quality, completeness, and consistency, correcting issues and flagging unclear or unusual cases for further review.</p><p>• Annotate visual assets by identifying relevant elements, outlining objects, or marking important features based on project requirements.</p><p>• Review language-based content to classify topics, sentiment, entities, intent, or other attributes needed for model development.</p><p>• Transcribe and enrich audio-based materials when required, ensuring accurate interpretation and documentation.</p><p>• Maintain productivity and quality benchmarks while handling recurring tasks with a high level of precision and organization.</p><p>• Partner with technical and quality teams to refine labeling practices and improve the usefulness of training datasets.</p>
<p><strong><em></em></strong>We are looking for an Analytics Application Engineer to support and advance an internal reporting platform serving teams in River Edge, New Jersey. This position blends application engineering, data integration, and analytics development to deliver reliable dashboards and actionable operational insights. The ideal candidate will be comfortable working across the full stack, from syncing source-system data into a reporting database to shaping intuitive web-based reporting experiences for internal stakeholders.</p><p><br></p><p><strong>Responsibilities:</strong></p><p>• Develop, support, and improve a custom Next.js application that provides interactive dashboards, reusable reports, and performance metrics for internal teams.</p><p>• Oversee the TypeScript-based data ingestion process that brings Salesforce and Litify information into PostgreSQL, with a focus on accuracy, consistency, and timely updates.</p><p>• Structure and maintain the reporting database environment, including curated views, application-managed tables, historical metric records, and dashboard settings.</p><p>• Administer deployments and recurring platform operations through Firebase hosting and GitHub Actions, while monitoring job health and resolving processing issues.</p><p>• Configure and maintain authentication and authorization controls in Firebase to protect access to internal reporting tools.</p><p>• Partner with business stakeholders to convert reporting needs into efficient queries, scalable data models, and user-friendly dashboard designs.</p><p>• Investigate data or application issues across the reporting stack and implement fixes that improve reliability and performance.</p>
<p>We are looking for a senior AI leader to drive enterprise AI strategy while remaining deeply involved in solution design and software development. This Long-term Contract opportunity is based in St. Paul, Minnesota, and is ideal for someone who can shape technical direction, influence executive decisions, and deliver scalable AI capabilities across the organization. The role combines architectural ownership, hands-on engineering, and cross-functional leadership to advance high-impact AI initiatives. You will also help establish durable standards for responsible AI, technical excellence, and future-ready innovation.</p><p><br></p><p>Responsibilities:</p><p>• Define and guide the long-range technical architecture for enterprise AI solutions, ensuring alignment with business goals and platform scalability.</p><p>• Lead the design and development of advanced AI applications, contributing directly to coding efforts and technical problem-solving in Python and related technologies.</p><p>• Direct complex AI programs from concept through implementation, coordinating cross-functional teams to deliver measurable organizational impact.</p><p>• Establish governance models, validation approaches, and ethical AI practices that support compliance, reliability, and responsible deployment.</p><p>• Serve as a strategic advisor to senior leadership by translating emerging AI opportunities into actionable technology plans and investment priorities.</p><p>• Design scalable distributed systems across cloud environments and data ecosystems to support high-volume AI workloads and production performance.</p><p>• Mentor senior engineers and AI practitioners, strengthen technical hiring and onboarding efforts, and help cultivate future engineering leaders.</p><p>• Evaluate evolving industry trends, tools, and frameworks to recommend improvements that enhance enterprise AI capability and long-term competitiveness.</p>
We are looking for a DEX Engineer to support data engineering initiatives for a long-term contract opportunity in Cincinnati, Ohio. This role is suited for someone who enjoys building dependable data solutions, improving data flow performance, and working with modern distributed processing technologies. The ideal candidate will help design and maintain scalable pipelines that enable efficient data movement, transformation, and access across the organization.<br><br>Responsibilities:<br>• Build and optimize large-scale data pipelines using Python and Apache Spark to support reliable data processing.<br>• Develop ETL workflows that collect, transform, and deliver data from multiple source systems into analytical platforms.<br>• Work with Hadoop-based environments to manage distributed data processing and storage effectively.<br>• Implement and support Kafka-driven streaming solutions for near real-time data ingestion and integration.<br>• Monitor pipeline performance, troubleshoot data issues, and improve processing efficiency across engineering workflows.<br>• Collaborate with technical teams to understand data needs and translate them into scalable engineering solutions.<br>• Maintain data quality standards by validating outputs, resolving inconsistencies, and supporting dependable data availability.<br>• Contribute to ongoing enhancements of data architecture, including updates to existing platforms and operational processes.
<p>Key Responsibilities</p><ul><li>Design, develop, and maintain scalable data models, staging layers, and curated datasets within a modern cloud-based data environment.</li><li>Build and support enterprise reporting solutions, including semantic models, metrics, dashboards, and self-service analytics capabilities.</li><li>Partner with business stakeholders to gather requirements and translate complex business processes into well-structured analytical solutions.</li><li>Monitor and support scheduled data integration processes, report refreshes, and related data workflows.</li><li>Troubleshoot data quality, reporting, and pipeline issues while identifying opportunities for process improvement.</li><li>Create and maintain documentation for datasets, metrics, reporting logic, and data lineage.</li><li>Promote data quality standards, modeling best practices, and governance principles across the analytics environment.</li><li>Continuously identify opportunities to streamline workflows, improve reporting accuracy, and enhance data accessibility.</li></ul><p><br></p>
<p><strong><u>Senior Infrastructure DevOps Engineer</u></strong></p><p><strong>Remote - Atlanta, GA</strong></p><p><strong>Location Requirement:</strong> This is a fully remote position; however, candidates <strong>must currently reside in the Atlanta, GA area</strong>. Applicants outside of Atlanta will <strong>not</strong> be considered.</p><p><strong>Work Authorization:</strong> <strong>No C2C. No third-party agencies. No sponsorship or visa transfers now or in the future.</strong></p><p><br></p><p><strong>About the Role</strong></p><p>We are seeking a Senior Infrastructure DevOps Engineer to join a growing IT team. This is an exciting opportunity for someone who enjoys wearing multiple hats across infrastructure, cloud engineering, automation, DevOps, enterprise applications, and technical leadership.</p><p>This role is ideal for someone who enjoys taking ownership of projects, mentoring junior engineers, partnering with business stakeholders, and driving technical initiatives that improve business operations.</p><p><br></p><p><strong>Responsibilities</strong></p><ul><li>Lead enterprise infrastructure initiatives (approximately 60–70% of the role).</li><li>Support DevOps projects, automation, and development (approximately 30–40% of the role).</li><li>Build and develop APIs using Python and PowerShell.</li><li>Manage Azure cloud resources, including networks, storage, services, and cloud infrastructure.</li><li>Administer and configure financial ERP systems and enterprise business applications.</li><li>Oversee Microsoft 365 administration, including Exchange Online, SharePoint, Teams, and OneDrive.</li><li>Administer Entra ID (Azure Active Directory), including roles, conditional access, governance, and identity management.</li><li>Manage Microsoft Intune for device deployment and compliance.</li><li>Develop PowerShell scripts, Python automation, and Power Automate workflows to reduce manual effort and improve business and Finance processes.</li><li>Support and enhance integrations between Business Central (ERP), Kantata, Navan, ADP, and other enterprise applications.</li><li>Monitor and optimize Azure cloud resources, performance, and costs.</li><li>Apply security best practices, including MFA, device compliance, least-privilege access, and governance.</li><li>Support audits, compliance initiatives, and security investigations.</li><li>Provide Level 3 support for complex infrastructure and application issues.</li><li>Mentor junior engineers and provide technical leadership.</li><li>Take ownership of projects and work across multiple IT disciplines.</li><li>Partner with business stakeholders to recommend technical solutions and improve operational efficiency.</li><li>Help drive future operational growth and leadership initiatives.</li></ul>
<p><strong>IAM Architect</strong></p><p><strong>Location: Onsite in Washington DC</strong></p><p><strong>Duration: 6 month contract, extensions/conversion likely</strong></p><p><br></p><p><strong><u>*CURRENT OR PREVIOUS PUBLIC TRUST CLEARANCE (OR HIGHER) IS REQUIRED*</u></strong></p><p><br></p><p>We are seeking a senior-level Identity Access Management (IAM) Architect to serve as the technical authority for enterprise identity and access management capabilities within a highly regulated federal environment. This individual will lead the design, implementation, and governance of modern IAM frameworks supporting secure authentication, authorization, compliance, and least-privilege access across hybrid cloud and on-premises environments.</p><p><br></p><p>This role is heavily focused on architecture, engineering, and strategic IAM leadership rather than program management. The ideal candidate brings deep hands-on expertise with Microsoft Entra ID, Microsoft ICAM, identity governance, privileged access controls, and Zero Trust security principles. The position partners closely with security, infrastructure, cloud, and operations teams to drive IAM modernization, ensure audit readiness, and support enterprise-scale identity services.</p><p><br></p><p><strong>Responsibilities:</strong></p><ul><li>Serve as the enterprise subject matter expert and technical lead for Identity and Access Management architecture and services.</li><li>Design and implement secure authentication and authorization solutions leveraging Microsoft Entra ID, Microsoft ICAM, and role-based access control (RBAC).</li><li>Lead integration of identity services with Microsoft 365 and enterprise applications to support identity lifecycle management and policy enforcement.</li><li>Define IAM standards, architectural patterns, and operating procedures aligned with Zero Trust and federal security requirements.</li><li>Manage identity lifecycle processes, including provisioning, deprovisioning, access changes, and account governance.</li><li>Implement and maintain multifactor authentication (MFA), conditional access, privileged identity management (PIM), privileged access management (PAM), and identity protection controls.</li><li>Establish and administer access reviews, entitlement management processes, and governance workflows to enforce least-privilege access.</li><li>Design and oversee RBAC models, access assignments, recertification efforts, and automated access-control processes.</li><li>Support compliance initiatives by creating and maintaining IAM documentation, control evidence, and audit artifacts.</li><li>Assist with audit remediation efforts, corrective action plans, and resolution of IAM-related risks and findings.</li><li>Lead troubleshooting and resolution of complex identity and access issues across hybrid enterprise environments.</li><li>Drive automation of identity provisioning, policy enforcement, reporting, and administrative processes.</li><li>Collaborate with security, cloud, endpoint, and service management teams to implement identity-dependent security controls.</li><li>Provide strategic IAM guidance, roadmap recommendations, and modernization planning to stakeholder groups.</li></ul><p><br></p>
<p>We are looking for an IAM Architect to lead the design and advancement of identity and access management solutions in Stratford, Connecticut. This role focuses on shaping secure, scalable architecture that supports business priorities across hybrid and cloud environments. The ideal candidate will combine deep technical knowledge with strong judgment, helping teams strengthen security controls while delivering practical, cost-conscious solutions.</p><p><br></p><p>Responsibilities:</p><p>• Lead the assessment, design, and implementation of enterprise identity and access management architecture aligned with organizational goals and security priorities.</p><p>• Define security requirements and recommend appropriate controls, capabilities, and solution patterns based on business needs, technology strategy, and emerging threats.</p><p>• Review vendor proposals and statements of work, identify security gaps or control weaknesses, and provide informed recommendations to internal stakeholders and vendor management teams.</p><p>• Create and maintain architecture blueprints, design documentation, and strategic roadmaps, and present implementation approaches to leadership and project teams.</p><p>• Develop tailored security solutions that support layered defense strategies by partnering with internal teams, external providers, and business stakeholders.</p><p>• Evaluate identity, access, and broader security technologies against operational, financial, and risk considerations, and advise on adoption or improvement opportunities.</p><p>• Establish baseline security standards for platforms, applications, network segmentation, and identity-related services across enterprise environments.</p><p>• Provide senior-level technical guidance to resolve complex access, directory, and security issues throughout planning, delivery, and operational support phases.</p><p>• Direct technical project execution by setting scope, quality expectations, timelines, and overall architectural direction through completion.</p><p>• Work across technical, business, and leadership groups to ensure timely delivery of secure, high-quality IAM services.</p>
<p>We are looking for an experienced Engineering Manager to oversee and enhance engineering functions within a chemical manufacturing environment. This role is integral to ensuring operational excellence, compliance with safety standards, and the successful execution of capital projects. The position is based in Glen Rock, Pennsylvania, and offers an opportunity to lead a multidisciplinary team in driving innovation and reliability.</p><p><br></p><p>Responsibilities:</p><p>• Provide leadership and guidance to a team of engineers across multiple disciplines, fostering attention to detail and strong performance.</p><p>• Define engineering priorities, allocate resources effectively, and align team efforts with organizational safety, production, and capital objectives.</p><p>• Oversee the planning and execution of capital projects, including budgeting, scheduling, contractor management, and commissioning.</p><p>• Drive process improvement initiatives to enhance yield, throughput, energy efficiency, and cost-effectiveness.</p><p>• Ensure strict compliance with safety, environmental, and regulatory standards applicable to chemical manufacturing.</p><p>• Collaborate with operations and maintenance teams to improve equipment reliability, minimize downtime, and support continuous improvement.</p><p>• Lead risk assessments, process hazard analyses (PHAs), and incident investigations to enhance workplace safety.</p><p>• Review and approve technical designs, specifications, and other engineering documentation to ensure quality and accuracy.</p><p>• Manage the engineering department budget, including planning for capital expenditures and operational expenses.</p><p>• Contribute to long-term site strategies, including technology upgrades, facility expansions, and modernization efforts.</p>
<p>We are looking for an IT Systems & Infrastructure Engineer to support and strengthen a complex technology environment in Greater Cleveland, Ohio. This position will help maintain secure, reliable, and efficient infrastructure across core business systems, network services, and manufacturing-related platforms. The ideal candidate brings strong technical depth across Microsoft ecosystems, enterprise applications, and cybersecurity practices, along with the ability to improve system performance through automation and integration.</p><p><br></p><p>Responsibilities:</p><p>• Administer and optimize server, directory, messaging, and cloud-based platforms to ensure dependable day-to-day operations across the business.</p><p>• Support network infrastructure by maintaining connectivity, security, and performance for firewalls, switches, routers, and related technologies.</p><p>• Manage enterprise systems and manufacturing-facing applications, including ERP-connected environments, to promote stable and efficient business processes.</p><p>• Develop and maintain automation, scripts, and API-based integrations to streamline administration, reduce manual effort, and improve data flow between systems.</p><p>• Oversee backup, recovery, patching, and vulnerability response activities to protect infrastructure availability and reduce operational risk.</p><p>• Implement and support endpoint management and cybersecurity controls that strengthen device security and align with organizational standards.</p><p>• Monitor infrastructure health, troubleshoot technical issues, and resolve system problems affecting users, applications, and production support environments.</p><p>• Contribute to reporting and analytics capabilities by supporting database-driven solutions and system data accessibility for operational decision-making.</p>
We are looking for an Application Security Engineer to strengthen secure software delivery and partner closely with engineering teams in Reading, Pennsylvania. This role focuses on embedding security throughout the software lifecycle, from architecture and development through deployment and ongoing operations. The ideal candidate brings deep application security expertise, a collaborative mindset, and the ability to translate security requirements into practical engineering guidance.<br><br>Responsibilities:<br>• Partner with software engineering and cybersecurity teams to build security into application design, coding practices, release processes, and production support.<br>• Perform in-depth security evaluations through code analysis, threat modeling, penetration testing, and vulnerability assessments to uncover and prioritize risk.<br>• Establish and uphold secure development standards, reusable patterns, and technical guidance that improve consistency across teams.<br>• Administer and enhance security controls within CI/CD workflows, including code scanning, infrastructure-as-code checks, and container security tooling.<br>• Contribute to architecture assessments for cloud-based systems, microservices, and containerized applications to ensure resilient and secure designs.<br>• Evaluate application risks and support formal security reviews to guide mitigation planning and informed technical decisions.<br>• Verify that application security activities align with applicable compliance obligations and recognized industry frameworks.<br>• Create and deliver training sessions that help developers strengthen secure coding habits and increase security awareness.<br>• Track emerging attack techniques and threat intelligence, then apply those insights to improve preventive and detective controls.<br>• Support the monitoring, investigation, and remediation of application security issues, while coordinating effectively with external vendors and consultants as needed.