<p>We are looking for a Level 2/3 Engineer to provide part-time/adhoc IT support for a locally based IT services firm in Albuquerque, New Mexico. The role is primarily remote, while also requiring occasional on-site visits when client needs call for hands-on technical support. Flexible scheduling is available, though periodic coordination during standard business hours will be expected.</p><p>Initial IT support request is troubleshooting Network/WIFI issues for a local Non-profit.</p><p><br></p><p>Responsibilities:</p><p>• Diagnose and resolve network and Wi-Fi connectivity problems for client environments, including urgent service requests as they arise.</p><p>• Deliver Level 2 and Level 3 technical support across Windows server infrastructure, networking components, and related systems.</p><p>• Administer Active Directory tasks such as account and profile setup, directory maintenance, and issue remediation.</p><p>• Investigate server performance and configuration concerns to restore stability and maintain reliable operations.</p><p>• Configure and support firewall and network settings to help ensure secure and consistent connectivity.</p><p>• Provide remote troubleshooting for most requests while traveling on-site to client locations when direct intervention is necessary.</p><p>• Communicate clearly with client stakeholders, provide thorough service updates, and help set expectations around issue resolution.</p><p>• Coordinate availability for ad hoc support needs and participate in occasional business-hours check-ins to review active work.</p><p>• Document findings, actions taken, and recommendations to support ongoing service continuity for client accounts.</p><p>Other duties as needed</p>
<p>We’re looking for a hands-on Microsoft 365 Engineer with strong experience deploying and rolling out Microsoft Purview to support a growing data governance and compliance program.</p><p>This is not a support/admin role, this role needs someone who has built and implemented Purview in a developing environment, and can help bring structure to an early-stage rollout.</p><p><br></p><p><strong>Key Responsibilities</strong></p><ul><li>Lead hands-on deployment and configuration of Microsoft Purview in an early-stage environment</li><li>Drive Phase 1 data labeling, including strategy, design, and policy implementation</li><li>Configure and operationalize: Data Loss Prevention (DLP), Sensitivity Labels, Retention policies, & eDiscovery (as needed)</li><li>Help define and execute a phased Purview roadmap in a still-evolving environment</li><li>Partner with stakeholders to drive organization-wide rollout of compliance controls and policies</li><li>Support data migration, classification, and labeling within Microsoft 365</li><li>Assist with scanning and classifying legacy file shares and network repositories</li><li>Provide broader M365 engineering support, with a focus on Purview</li><li>Use PowerShell for compliance and policy configuration where needed</li></ul>
<p>We are looking for an Artificial Intelligence (AI) Engineer to support the design, deployment, and ongoing operation of AI systems for a government services organization in Albuquerque, New Mexico. This position centers on building reliable AI infrastructure, enabling machine learning solutions in production, and partnering with cross-functional teams to deliver secure, scalable platforms. </p><p>The ideal candidate brings strong experience in automation, Kubernetes-based deployments, and modern MLOps practices, along with the ability to translate technical needs into durable operational solutions.</p><p><br></p><p>Responsibilities:</p><p>• Direct the rollout and integration of AI platforms and services, ensuring they work effectively with existing enterprise technologies and operational standards.</p><p>• Architect, implement, and refine AI infrastructure in partnership with cloud, server, and platform engineering teams to support dependable system performance.</p><p>• Move machine learning solutions from development into production by establishing repeatable processes for deployment, maintenance, and long-term support.</p><p>• Create and manage CI/CD and MLOps workflows that cover model validation, packaging, release, rollback, and lifecycle oversight.</p><p>• Automate infrastructure and platform operations through scripting, infrastructure-as-code methods, and configuration management tools.</p><p>• Troubleshoot platform and service issues, perform root cause analysis, and produce clear technical documentation for support and maintenance activities.</p><p>• Strengthen system visibility by implementing logging, monitoring, alerting, and incident response practices across AI environments.</p><p>• Uphold security and compliance expectations by contributing to audits, remediation efforts, vulnerability management, and secure design reviews.</p><p>• Identify and deliver improvements that increase performance, scalability, reliability, and cost efficiency across AI-enabled systems.</p><p>• Work with technical and business stakeholders to align AI implementations with organizational priorities and evaluate emerging tools for long-term operational value.</p><p>Other duties as needed</p>
We are looking for a Security Data Engineer to join our team in Costa Mesa, California in a contract capacity with the potential for a permanent role. This position is focused on advancing a well-established data lake environment by strengthening the ingestion layer, expanding connectivity to additional systems, and ensuring reliable movement of security-relevant data. The person in this role will take ownership of pipeline operations, partner with internal system stakeholders to enable access, and help keep incoming data accurate, timely, and usable for downstream needs.<br><br>Responsibilities:<br>• Take ownership of the data ingestion layer for an existing data lake, ensuring steady performance and dependable delivery of incoming datasets.<br>• Reduce a defined backlog of pipeline work during the first 90 days by building and activating prioritized ingestion workflows.<br>• Assume responsibility for pipeline components transitioned from the lead engineer and continue their operational support without disrupting established foundations.<br>• Support and improve current ETL processes by monitoring health, resolving failures, and extending coverage where needed.<br>• Integrate new source systems, including platforms such as Rippling and Workday, into the broader data ecosystem.<br>• Coordinate with internal application and system owners to identify data sources, secure appropriate access, and obtain logs or source records required for ingestion.<br>• Apply data cleaning and analysis practices to improve data quality and maintain consistency across inbound datasets.<br>• Contribute to infrastructure and deployment workflows using AWS, AWS CDK, Infrastructure as Code, and CI/CD practices to support scalable pipeline operations.
We are looking for a Data Engineer to join a long-term contract opportunity. This role is suited for someone who can build and optimize modern data pipelines while partnering across technical teams to keep delivery on schedule and data platforms running reliably. The ideal candidate brings strong hands-on experience with large-scale data processing, integration frameworks, and disciplined execution in fast-moving environments. <br> Responsibilities: • Design, build, and enhance scalable data pipelines that support reliable ingestion, transformation, and delivery of critical business data. • Develop and maintain ETL workflows using Python and distributed data technologies to improve performance, accuracy, and maintainability. • Collaborate with engineering, security, IT, and external stakeholders to coordinate dependencies, resolve blockers, and keep initiatives progressing smoothly. • Monitor project milestones, surface risks early, and help drive timely execution through clear status updates and strong follow-through. • Implement data processing solutions using tools such as Apache Spark, Hadoop, and Kafka to support high-volume and real-time data needs. • Partner with cross-functional teams to validate testing readiness, support controlled releases, and promote successful adoption of new data capabilities. • Contribute to data governance and lifecycle practices by helping ensure quality standards, consistency, and operational reliability across platforms.
<p>We are looking for an IT Support Engineer to provide advanced technical support for end users and client environments in Savannah, Georgia. This contract-to-permanent position is ideal for someone who enjoys solving complex desktop, system, and network issues while delivering a high standard of service. The person in this role will handle escalated support needs, maintain core IT systems, and contribute to a stable and secure technology environment.</p><p><br></p><p>Key Responsibilities</p><ul><li>Provide Tier 3 technical support across multiple client environments</li><li>Troubleshoot and resolve complex issues related to networking, systems, and infrastructure</li><li>Lead and execute IT installations and deployment projects (network, hardware, cloud, and security)</li><li>Configure and maintain network infrastructure (switches, LAN/WAN, DNS)</li><li>Manage and support VoIP systems and connectivity issues</li><li>Administer and troubleshoot Active Directory environments</li><li>Support Microsoft 365 (Exchange, Teams, SharePoint, user management)</li><li>Maintain and support VMware / virtualized environments</li><li>Implement and maintain IT security best practices</li><li>Collaborate with internal teams and clients to ensure smooth project delivery and support</li></ul><p><br></p>
We are looking for an IT Support Engineer to join our team in Jacksonville, Florida. In this Contract to permanent position, you will play a critical role in delivering technical assistance to end users while ensuring the smooth functioning of hardware, software, and network systems. This role requires a proactive and customer-oriented approach to resolve issues and enhance user experiences.<br><br>Responsibilities:<br>• Provide technical support for desktops, laptops, mobile devices, and business applications, ensuring timely issue resolution.<br>• Diagnose and troubleshoot problems related to Windows/macOS operating systems, Microsoft 365, printers, and other IT systems.<br>• Install, configure, and maintain computer hardware, peripherals, and mobile devices for end users.<br>• Manage and administer user accounts and permissions within Active Directory and Azure AD.<br>• Document support cases, resolutions, and processes in the ticketing system for accurate record-keeping.<br>• Handle onboarding and offboarding processes, including equipment setup and deployment for new and departing employees.<br>• Apply updates, patches, and basic security measures to ensure system integrity.<br>• Collaborate with senior support teams to escalate complex issues and ensure their resolution.<br>• Deliver excellent customer service by communicating technical solutions in a clear and approachable manner.
<p>We are looking for a skilled Server & Project Engineer to support and enhance client technology environments in the Hartford, Connecticut area. This position combines hands-on infrastructure work with project delivery, requiring someone who can manage server deployments, resolve complex technical issues, and help maintain secure, reliable systems. The ideal candidate brings strong experience across Microsoft platforms, networking, virtualization, and security technologies while communicating effectively with both technical teams and end users.</p><p><br></p><p>Responsibilities:</p><p>• Install, configure, and support servers, network components, and core IT infrastructure for business environments.</p><p>• Lead and contribute to technical projects that improve system performance, stability, and long-term scalability.</p><p>• Maintain secure and efficient environments by applying best practices across infrastructure, access management, and system configuration.</p><p>• Troubleshoot and repair issues affecting servers, desktops, networking equipment, and integrated voice systems.</p><p>• Administer Microsoft-based services such as Active Directory, Exchange, Entra ID, and related identity or messaging platforms.</p><p>• Support virtualization platforms including Hyper-V and VMware to ensure dependable server operations and resource availability.</p><p>• Diagnose network-related problems involving switches, wireless connectivity, firewall platforms, and VoIP integrations.</p><p>• Travel to client locations as needed, primarily within the surrounding regional area, to perform onsite implementation and support work.</p>
<p><strong>Key Responsibilities</strong></p><ul><li>Design, implement, and enhance Microsoft 365 solutions aligned to business needs, including integrations and cloud improvements</li><li>Manage endpoint environments using Intune, including device configuration, policy enforcement, and application deployment</li><li>Oversee full device lifecycle management across Windows, macOS, iOS, and Android environments, including enrollment, patching, and compliance</li><li>Administer Microsoft 365 services such as Exchange Online, Teams, OneDrive, and Entra ID, ensuring performance, uptime, and security</li><li>Manage identity, access, and licensing, maintaining strong governance and security best practices</li><li>Support Microsoft 365 migrations, upgrades, and integration efforts across enterprise systems</li><li>Troubleshoot and resolve platform and user issues while proactively improving system reliability and performance</li><li>Develop and maintain documentation, policies, and procedures, and support knowledge sharing across the IT team</li><li>Contribute to Azure architecture and implementation efforts that align with the broader Microsoft ecosystem</li><li>Ensure all work aligns with internal policies, regulatory requirements, and compliance standards</li></ul>
We are looking for an Infrastructure Project Engineer to serve as the primary technical leader for a healthcare-focused client environment in Jacksonville, Florida. This contract-to-permanent opportunity combines hands-on engineering, project ownership, and client-facing partnership, with a strong emphasis on reliability, security, and well-documented operations. The person in this role will guide infrastructure improvements, resolve complex technical issues, and help maintain a stable Microsoft-based ecosystem that supports critical business and compliance needs.<br><br>Responsibilities:<br>• Direct infrastructure initiatives from planning through completion, including platform upgrades, server replacements, cloud-related efforts, and other environment improvements while keeping schedules and records up to date.<br>• Build, configure, monitor, and retire physical and virtual server systems across Windows Server, VMware, and Hyper-V environments.<br>• Administer and enhance Microsoft technologies such as Microsoft 365, Entra ID, Intune, Azure, Exchange, and Active Directory to support secure and efficient operations.<br>• Serve as the senior escalation resource for difficult technical problems involving servers, networking, cloud services, and endpoint connectivity.<br>• Strengthen system security by managing endpoint protection and application control tools, including ThreatLocker or comparable zero-trust solutions.<br>• Perform hands-on network support work involving switches, routing, firewalls, VLANs, DHCP, DNS, and circuit-related troubleshooting.<br>• Produce and maintain clear technical documentation in knowledge management platforms and share expertise with other engineers through active collaboration.<br>• Meet service expectations by tracking work accurately in ticketing and project systems, documenting activity in real time, and supporting defined SLA commitments.
<p>We are looking for an experienced Systems Engineer to oversee and strengthen a virtual infrastructure environment in Rochester, New York. This position focuses on building reliable, scalable VMware-based platforms that support critical manufacturing operations. The role partners with infrastructure, security, cloud, and application teams to improve system performance, maintain availability, and support long-term technology planning.</p>
<p>FULLY ONSITE REQUIRED- 5 DAYS IN OFFICE- BROOKLYN</p><p><br></p><p><strong>Top Required Skills</strong></p><ol><li>Virtualization, server infrastructure, and enterprise storage systems (VMware, Hyper-V, Azure, Windows Server)</li><li>Automation, monitoring, scripting, and RMM platforms (NinjaOne and similar MSP tools)</li><li>Network architecture and security including routing, switching, VLANs, VPNs, firewalls, and wireless infrastructure</li></ol><p><br></p><p><br></p><p><strong>Key Responsibilities:</strong></p><p>- Design, deploy, and support virtualization, server, storage, networking, and cloud infrastructure</p><p>- Configure and optimize enterprise storage, replication, backup, and disaster recovery solutions</p><p>- Implement, maintain, and improve automation, monitoring, and RMM platforms including NinjaOne</p><p>- Manage and support hybrid cloud environments integrating on-premises infrastructure with Azure, AWS, and Microsoft 365 services</p><p>- Troubleshoot and resolve complex infrastructure, networking, virtualization, cloud, and performance issues</p><p>- Configure and support routing, switching, VLANs, VPNs, firewalls, and wireless networking solutions</p><p><br></p><p><strong>Required Skills:</strong></p><p>- Strong experience designing and supporting virtualization platforms, enterprise storage systems, and high-availability infrastructure</p><p>- Strong experience supporting cloud platforms including Microsoft Azure, Amazon Web Services (AWS), and Microsoft 365 environments</p><p>- Strong understanding of network architecture, switching, routing, VLANs, VPNs, firewalls, wireless infrastructure, and WAN connectivity across enterprise networking platforms including Cisco, Ubiquiti, Peplink, and similar technologies</p><p>- Experience with automation, monitoring, scripting, and RMM platforms such as NinjaOne and other MSP-focused tools</p><p>- Strong troubleshooting and problem-solving skills across servers, storage, networking, and cloud environments</p><p> </p><p><strong>Preferred Experience:</strong></p><p>- Familiarity with high-availability, replication, and business continuity strategies</p><p>- Experience working in MSP or multi-client environments</p><p>- Experience supporting both cloud and on-premises infrastructure</p>
We are looking for an experienced Artificial Intelligence (AI) Engineer to establish and lead a secure, scalable internal AI platform in San Francisco, California. This role will shape the technical foundation for enterprise AI adoption by creating development standards, deployment practices, and governance controls that support reliable use across the organization. The position works closely with technology, security, and business teams to help both technical and non-technical users build, launch, and manage AI-powered solutions responsibly.<br><br>Responsibilities:<br>• Design, implement, and support the organization’s internal AI platform, with a primary focus on Azure-based environments, tools, and supporting infrastructure.<br>• Create and manage automated delivery workflows for AI applications, ensuring code is tested, versioned, and promoted through environments efficiently.<br>• Establish policies and technical controls that guide secure, compliant, and responsible use of AI across enterprise teams.<br>• Enable developers and business users to create AI-driven solutions by providing practical frameworks, tooling, and support for modern AI-assisted development environments.<br>• Lead the release and production rollout of AI solutions, overseeing readiness, deployment standards, and operational stability.<br>• Work closely with IT, security, and business stakeholders to encourage adoption, clarify proper usage, and align AI capabilities with organizational needs.<br>• Maintain platform health by managing access controls, monitoring performance, and improving development standards for scalable AI delivery.<br>• Coordinate with external consultants and partners to help execute AI initiatives and advance the broader platform roadmap.<br>• Produce clear documentation for workflows, technical standards, and best practices to support continued growth in enterprise AI usage.
<p>This role sits at the intersection of AI engineering, data scientist, developer enablement, and customer engagement. You will partner with Product, Engineering, Applied Science, and AI Platform teams to support implementation decisions, accelerate AI adoption, and help teams adopt reusable AI engineering patterns and implementation best practices.</p><p>This is a deeply hands-on role focused on building, prototyping, and iterating on AI-powered experiences. The ideal candidate combines strong software engineering fundamentals with practical experience deploying LLM applications, agent systems, and AI-native workflows in production environments.</p><p><br></p><p><strong>What you’ll do</strong></p><p><strong>Start with customers</strong></p><p>• Spend real time with lawyers, legal operations teams, and our internal subject-matter experts — in their offices, on their calls, watching their workflows. Develop a strong understanding of customer workflows and operational challenges through direct engagement.</p><p>• Translate ambiguous, half-formed customer pain into crisp problem statements the team can build against.</p><p>• Collaborate closely with customers and internal stakeholders to prototype, validate, and refine AI-powered workflows and user experiences based on customer feedback and observed user needs.</p><p>• Bring the customer voice back into our roadmaps, our model choices, and our trade-offs.</p><p>• Occasional travel to customer sites may be required to better understand workflows and gather product feedback.</p><p><br></p><p><strong>Build AI-powered applications and workflows</strong></p><ul><li>Contribute to AI-powered applications and workflows for legal and business use cases, including leveraging existing RAG pipelines, research assistants, and related AI capabilities developed by ML engineering teams.</li><li>Implement and iterate on LLM application capabilities such as prompt engineering, multi-step workflows, tool calling, and lightweight agent patterns in collaboration with machine learning engineering teams.</li><li>Contribute to scalable orchestration layers for prompting, retrieval, and tool integration across AI services.</li><li>Work with frameworks such as LangChain, LangGraph, LlamaIndex, MCP/A2A, OpenAI SDKs, Google ADK, and/or Anthropic/Claude APIs to prototype and productionize AI capabilities.</li><li>Participate in experimentation, testing, and performance optimization activities for LLM-based applications in production environments.</li></ul><p><strong>Contribute to AI Engineering Enablement</strong></p><ul><li>Support adoption of AI engineering practices by helping software engineering teams incrementally integrate machine learning and generative AI capabilities into existing products and workflows, in collaboration with AI/ML engineering teams.</li><li>Promote reusable AI/ML engineering standards, tooling, and best practices that reduce friction for teams adopting AI and machine learning technologies, while aligning with recommendations from data science and AI platform teams.</li><li>Help software engineers expand their capabilities in ML-oriented development for applicable use cases without requiring deep data science specialization.</li><li><br></li></ul>
<p><strong>DevOps Engineer</strong></p><p>We are seeking a motivated <strong>DevOps Engineer</strong> to enhance automation, streamline deployments, and support modern cloud-native infrastructure. This role is ideal for someone who enjoys improving system reliability, optimizing pipelines, and enabling faster development workflows.</p><p><strong>Responsibilities</strong></p><ul><li>Build, maintain, and optimize CI/CD pipelines using tools like Azure DevOps, GitHub Actions, or Jenkins</li><li>Support containerized environments using Docker and Kubernetes</li><li>Manage infrastructure automation using Terraform, Helm, Ansible, or Bicep</li><li>Monitor application performance, system uptime, and deployment health</li><li>Troubleshoot build failures, pipeline issues, infrastructure drift, and deployment errors</li><li>Manage configuration management across multiple environments</li><li>Collaborate with developers and cloud engineers during releases and application migrations</li><li>Implement logging, monitoring, and alerting solutions</li><li>Maintain documentation for deployments, pipelines, and CI/CD procedures</li></ul><p><br></p>
<p>Position: DevOps Engineer (Mobile-First)</p><p>Location: Remote - Full Time | Direct Hire</p><p>Salary: $140,000 - 160,000 base annual salary + bonus + excellent benefits</p><p>*** For immediate and confidential consideration, please send a message to MEREDITH CARLE on LinkedIn or send an email to me with your resume. My email can be found on my LinkedIn page. ***</p><p>DevOps Engineer</p><p>We’re building something entirely new—and we’re doing it the right way.</p><p>This is a rare opportunity to join a brand-new digital transformation team inside a well‑established, financially strong enterprise. After decades of success with a traditional operating model, the organization is launching a remote‑first, mobile‑first digital platform designed to unify multiple services into a seamless consumer experience.</p><p>The product is 0→1, greenfield, and pre‑launch, with executive sponsorship and long‑term funding already secured. The pace, ownership, and innovation feel like a startup—without startup risk.</p><p>Why This Role Is Exciting</p><p>• Startup‑like environment inside a proven, stable enterprise</p><p>• New digital department with new leadership, tooling, and architecture</p><p>• True greenfield DevOps work—no legacy rebuilds</p><p>• Direct impact on a high‑visibility, consumer‑facing platform</p><p>What You’ll Work On</p><p>• Design, build, and support cloud infrastructure for a mobile‑first platform</p><p>• Build and maintain CI/CD pipelines for modern microservices</p><p>• Support containerized workloads using Docker and Kubernetes</p><p>• Implement Infrastructure as Code (IaC) for consistent environments</p><p>• Improve deployment reliability, scalability, and developer experience</p><p>Technical Environment</p><p>• Cloud: AWS (primary for the digital platform), cloud‑flexible architecture</p><p>• Containers: Docker, Kubernetes</p><p>• CI/CD: GitHub Actions, Jenkins</p><p>• IaC: Terraform, CloudFormation</p><p>• Observability: Prometheus, Grafana, CloudWatch, Datadog / ELK</p><p>• Security: IAM, RBAC, secrets management</p><p>• Scripting: Python, Bash</p><p>• Application Context: Flutter (web,mobile), NestJS, Postgres, API</p><p>What We’re Looking For</p><p>• 3–6 years of experience in DevOps, Cloud Engineering, or SRE</p><p>• Hands‑on AWS infrastructure experience</p><p>• Working knowledge of Kubernetes and containerized systems</p><p>• Experience building or supporting CI/CD pipelines</p><p>• Familiarity with Infrastructure as Code</p><p>• Strong collaboration skills and an ownership mindset</p><p>• Comfortable operating in ambiguity and building from scratch</p><p>What Success Looks Like</p><p>• Faster, safer deployments enabled by your automation</p><p>• Scalable, observable, and secure environments</p><p>• DevOps seen as a partner—not a bottleneck</p><p><br></p><p>*** For immediate and confidential consideration, please send a message to MEREDITH CARLE on LinkedIn or send an email to me with your resume. My email can be found on my LinkedIn page. Also, you may contact me by office: 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. ***</p>
We are looking for a DevOps Engineer to support the delivery, reliability, and security of mission-critical platforms in Princeton, New Jersey. This role focuses on building and sustaining containerized environments, improving deployment processes, and strengthening operational visibility across distributed systems. The ideal candidate brings strong infrastructure automation experience and can work effectively with engineering and support teams to maintain stable, scalable services.<br><br>Responsibilities:<br>• Design, implement, and maintain resilient container-based platforms using Kubernetes and OpenShift across cloud, data center, and edge environments.<br>• Manage application deployment, configuration, patching, and ongoing lifecycle support for distributed systems operating in both connected and restricted networks.<br>• Develop and optimize monitoring solutions with Prometheus and Grafana, including dashboards, alerts, and service health indicators that improve incident response.<br>• Install and validate software releases in development and test environments, support regression testing, and coordinate production rollouts with minimal service disruption.<br>• Build and scale containerized services with Docker and Kubernetes to support enterprise and edge-ready architectures.<br>• Configure and support identity and access integrations with enterprise authentication platforms such as Microsoft Entra ID and related infrastructure services.<br>• Investigate user-reported issues through ticketing workflows, document resolutions, and maintain operational runbooks and knowledge resources.<br>• Partner with analysts, engineers, and technical stakeholders to convert operational needs into deployable solutions and feed production issues back into product improvements.<br>• Apply DevSecOps practices including vulnerability remediation, image hardening, secrets handling, and support for secure compliance-oriented environments.<br>• Participate in after-hours support and on-call rotations to address outages, performance issues, and other high-priority production events.
<p>We are looking for a Sr.DevOps Engineer to strengthen our engineering organization in San Francisco, California. In this role, you will improve the foundation that supports application delivery, platform reliability, and developer productivity across cloud-based systems. You will work closely with engineering partners to create scalable infrastructure, streamline release processes, and build dependable operational practices that support continued growth.</p><p><br></p><p>Responsibilities:</p><p>• Architect and maintain cloud infrastructure using infrastructure-as-code practices that promote consistency, scalability, and operational simplicity.</p><p>• Create and refine automated delivery pipelines to support dependable, efficient releases across multiple services and environments.</p><p>• Establish repeatable deployment approaches for serverless applications, container-based platforms, and orchestrated workflows.</p><p>• Build internal automation and developer tools that reduce manual effort and help backend and machine learning teams work more efficiently.</p><p>• Enhance development, testing, and staging environments to improve workflow speed and reduce friction during software delivery.</p><p>• Define strong monitoring and observability practices across logs, metrics, and tracing to improve system visibility and troubleshooting.</p><p>• Investigate reliability, latency, and performance issues in distributed environments and partner with engineers to implement lasting improvements.</p><p>• Strengthen operational readiness by supporting incident response, contributing to post-incident reviews, and turning findings into better tooling and processes.</p><p>• Integrate security and compliance controls into infrastructure and deployment workflows, including access management, patching, and vulnerability remediation.</p>
<p>Our client is looking for an experienced Microsoft Security Engineer to strengthen and enhance a Microsoft-centric security environment in Utah. This long-term contract position is ideal for an individual who can secure cloud and identity platforms, guide governance and compliance efforts, and provide practical risk insight to both technical teams and business leaders. The role focuses on protecting Azure and Microsoft 365 ecosystems, improving endpoint and network security, and helping the organization stay ahead of evolving threats, including risks related to AI-enabled tools.</p><p><br></p><p>This person will be responsible for </p><ul><li>Managing outcomes from audits and testing</li><li>Tracking critical findings</li><li>Driving remediation efforts</li><li>Holding teams accountable for closure</li><li>Monitoring findings</li><li>Coordinating corrective actions</li><li>Communicating status updates</li></ul><p><br></p><p>Other Responsibilities:</p><p><br></p><p>• Lead the design and enhancement of security controls across Azure and Microsoft 365 environments, with a strong focus on the Microsoft Defender suite and tenant-wide protection strategies.</p><p>• Build and refine cloud security architecture for Azure workloads by applying native controls, policy standards, secure landing zone practices, and protections for platform and software services.</p><p>• Strengthen identity security through Entra ID administration, Conditional Access design, Privileged Identity Management, and Zero Trust principles across hybrid and multi-tenant environments.</p><p>• Assess and improve governance, compliance, and audit readiness by supporting control reviews, risk assessments, and compliance initiatives using frameworks such as ISO 27001 and Microsoft Purview.</p><p>• Evaluate and optimize network security measures, including segmentation strategy, firewall configurations, private connectivity, DDoS safeguards, and traffic analysis across cloud tenants.</p><p>• Translate technical security findings into clear risk updates, posture reports, and audit summaries for executives, project stakeholders, and operational teams.</p><p>• Advance endpoint protection by enforcing secure device baselines, compliance policies, attack surface reduction measures, and application control across managed systems.</p><p>• Support the security approach for Microsoft Copilot and other AI-related technologies by identifying exposure points and recommending appropriate safeguards.</p><p>• Contribute to incident response, threat hunting, and security monitoring efforts by using Microsoft Sentinel, threat intelligence sources, and forensic review techniques in Windows and Azure environments.</p><p>• Review and improve security automation through scripting and infrastructure-as-code practices, including PowerShell, KQL, Logic Apps, and cloud deployment templates where appropriate.</p>
<p><b>ERP Engineer</b></p><p>Onsite | Austin, TX | Contract</p><p><br></p><ul><li>Design, implement, and maintain ERP systems (SAP, Oracle, Workday, Microsoft Dynamics, etc.)</li><li>Configure ERP modules to support business functions such as finance, HR, supply chain, and procurement</li><li>Collaborate with business teams to gather requirements and translate them into technical solutions</li><li>Develop, customize, and integrate ERP solutions with other enterprise applications</li><li>Troubleshoot and resolve ERP system issues, ensuring minimal downtime</li><li>Perform system upgrades, patches, and enhancements</li><li>Monitor system performance and optimize for efficiency and scalability</li><li>Support data migration, reporting, and analytics within ERP platforms</li><li>Maintain documentation for system configurations, processes, and procedures</li><li>Ensure compliance with security standards and data governance policies</li></ul>
<p>We are seeking a skilled AI Engineer to join our dynamic technology team. The ideal candidate has hands-on experience integrating advanced AI and large language model (LLM) features into applications, as well as a strong background in designing and delivering AI-driven solutions. In this role, you will work closely with product, engineering, and data teams to build and enhance innovative products using the latest AI frameworks and tools.</p><p><br></p><p><strong>Key Responsibilities:</strong></p><p><br></p><ul><li>Design, develop, and integrate AI and LLM features into new or existing applications, ensuring scalable and reliable deployment.</li><li>Collaborate with cross-functional teams to define technical requirements and deliver AI-driven functionalities in production environments.</li><li>Utilize AI frameworks, APIs, and platforms such as OpenAI, LangChain, vector databases, and machine learning libraries to accelerate solution development.</li><li>Lead prompt engineering, fine-tuning, and model optimization initiatives to improve performance and user outcomes.</li><li>Evaluate and select the most appropriate AI/ML models, tools, and platforms for project needs.</li><li>Conduct documentation, code reviews, testing, and performance monitoring of AI-driven products.</li><li>Stay up to date with advancements in artificial intelligence, generative models, and industry best practices.</li></ul><p><br></p>
We are looking for an Artificial Intelligence (AI) Engineer to join a manufacturing organization in Grand Prairie, Texas on a Long-term Contract assignment. This role centers on creating enterprise-ready AI solutions that automate data-intensive processes, with a strong emphasis on autonomous workflows, backend engineering, and scalable system design. The ideal candidate will combine hands-on experience with Claude, C#, Visual Studio, and Microsoft SQL to deliver reliable AI-enabled applications that improve data classification, retention, and archiving outcomes.<br><br>Responsibilities:<br>• Build and deploy autonomous AI workflows that streamline data handling, classification, and archival activities across backend platforms.<br>• Create AI-enabled applications using Claude within a .NET and Visual Studio development environment to support production use cases.<br>• Develop and enhance APIs, services, and processing layers that power intelligent data automation solutions.<br>• Translate legacy database logic into modern Entity Framework-based implementations to improve maintainability and enable AI-assisted processing.<br>• Redesign data architecture components to support a shift from tightly coupled database structures toward service-oriented or microservices-based models.<br>• Define and refine prompts, agent behaviors, and orchestration logic to ensure dependable and repeatable AI outcomes.<br>• Improve the efficiency, scalability, and operational cost of AI-driven workflows through performance tuning and architecture decisions.<br>• Work with business and technical stakeholders to establish data governance standards, retention rules, and classification frameworks.<br>• Produce clear technical documentation and share knowledge to support adoption and long-term sustainability of delivered solutions.
We are looking for a skilled Artificial Intelligence (AI) Engineer to join our team in Tampa, Florida. This role offers the opportunity to design and implement innovative AI solutions while collaborating with cross-functional teams to drive impactful results. As a Contract to permanent position, this role provides a pathway to long-term growth and development within our organization.<br><br>Responsibilities:<br>• Build, train, and refine machine learning models using frameworks such as TensorFlow, PyTorch, Scikit-Learn, and Keras.<br>• Integrate AI-driven solutions into existing on-premises applications to enhance functionality and performance.<br>• Explore and experiment with large language models (LLMs) and agent-based coding tools to optimize internal automation and analytics workflows.<br>• Process, engineer, and evaluate data from diverse internal sources, including structured and unstructured datasets.<br>• Collaborate with teams across departments to ensure compliance with Criminal Justice Information Systems (CJIS) and Personally Identifiable Information (PII) standards.<br>• Partner with analysts, investigators, and IT staff to identify opportunities where AI can provide operational improvements.<br>• Participate in coding reviews and testing processes to ensure high-quality deliverables.<br>• Stay updated on emerging AI technologies and prototype new tools while adhering to data governance standards.<br>• Contribute to the continuous improvement of AI systems and processes by identifying areas for innovation and optimization.
<p>We are looking for an AI Software Engineer to help design, build, and deploy AI-driven solutions that improve production, quality, and operational efficiency. You’ll work closely with engineering, operations, and data teams to identify high‑value use cases and turn them into scalable, real-world solutions.</p><p><br></p><p><strong>What You’ll Do</strong></p><ul><li>Develop and deploy AI/ML models for manufacturing use cases (predictive maintenance, quality inspection, process optimization)</li><li>Work with sensor, production, and ERP data to build actionable insights</li><li>Collaborate with cross‑functional teams to move ideas from concept to production</li></ul><p><strong>What We’re Looking For</strong></p><ul><li>Experience with Python and modern ML frameworks (TensorFlow, PyTorch, scikit-learn)</li><li>Strong software engineering fundamentals and experience deploying models to production</li><li>Interest or background in manufacturing, industrial systems, or operational data</li></ul><p><br></p>
<p>We are looking for an Artificial Intelligence (AI) Engineer to create and expand advanced AI solutions that support real-world business applications in Atlanta, Georgia. This position is ideal for a hands-on engineer who can turn emerging AI concepts into reliable production systems, from intelligent workflows to scalable backend services. The role blends applied machine learning, large language model integration, and software engineering to deliver secure, high-performing tools in an enterprise setting.</p><p><br></p><p>Responsibilities:</p><p>• Design and develop AI-driven applications that combine machine learning models, large language models, and backend services for production use.</p><p>• Create prompt frameworks, retrieval approaches, and context-handling strategies that improve the relevance and reliability of AI-generated outputs.</p><p>• Build intelligent agents and automated workflows that support business processes and interact effectively with enterprise data sources.</p><p>• Integrate tools such as TensorFlow, vector databases, and orchestration frameworks to support scalable AI and computer vision solutions.</p><p>• Measure model and system effectiveness by monitoring accuracy, latency, stability, and overall operational performance.</p><p>• Improve deployed solutions through performance tuning, cost optimization, and troubleshooting across cloud-based environments.</p><p>• Collaborate with product, engineering, and user experience teams to deliver AI features that align with business goals and user needs.</p><p>• Contribute reusable components, shared services, and engineering best practices that strengthen the broader AI platform.</p><p>• Support detection and computer vision use cases where image-based analysis and machine learning capabilities are required.</p>