We are looking for a Software Engineer to join our team and help deliver reliable, modern applications that support internal users and members. This position contributes across the development process, partnering with cross-functional colleagues to design, build, test, deploy, and enhance software solutions. The role is well suited for an experienced individual who can work with general guidance, solve challenging technical issues, and contribute thoughtful ideas that improve product quality and team effectiveness.<br><br>Responsibilities:<br>• Design, build, and maintain web applications using modern development frameworks and languages, including .NET technologies and JavaScript-based tools.<br>• Contribute throughout the full development lifecycle by translating business needs into technical solutions, writing code, validating functionality, and supporting production releases.<br>• Partner with engineers and other stakeholders to troubleshoot application issues, investigate root causes, and implement effective fixes for complex technical problems.<br>• Manage source code through Git workflows, participate in peer reviews, and help maintain strong coding standards across the team.<br>• Work within an Agile Scrum environment to support iterative delivery, align on priorities, and produce dependable software on schedule.<br>• Create, expand, and maintain automated test coverage to protect application stability and reduce the risk of defects in future releases.<br>• Deploy and support solutions across cloud environments such as Microsoft Azure as well as on-premises infrastructure when required.<br>• Provide ongoing maintenance and technical support for existing applications, enhancements, and user-reported issues.<br>• Keep current with evolving tools, frameworks, and engineering practices to recommend improvements and strengthen development outcomes.
We are looking for a Software Engineer to join a team in Sinton, Texas and build reliable, scalable applications that support business operations. This role involves creating and improving both front-end and back-end solutions, partnering with users to translate needs into effective technical outcomes, and maintaining high standards for code quality and security. The ideal candidate brings strong problem-solving ability, solid experience with modern development tools, and a proactive approach to delivering well-documented, dependable software.<br><br>Responsibilities:<br>• Build, enhance, and support software applications and related services using contemporary development technologies such as C#, .NET, Python, and web-based frameworks.<br>• Investigate application issues, diagnose root causes, and implement fixes that improve stability, functionality, and performance.<br>• Produce clear technical documentation covering system behavior, design decisions, and implementation details to support maintainability.<br>• Apply secure development methods and align coding practices with established organizational standards and quality expectations.<br>• Manage assigned tasks independently, track commitments responsibly, and deliver work within agreed timelines.<br>• Collaborate with business users to gather, clarify, and translate functional needs into practical software solutions.<br>• Create and optimize SQL components, including queries, views, stored procedures, and triggers, with an emphasis on efficiency and appropriate design.<br>• Contribute to integrations and connected systems through APIs, webhooks, and other modern interface methods.<br>• Strengthen technical capabilities through ongoing learning and by staying current with evolving tools, practices, and engineering approaches.
<p><strong>Robert Half is seeking a Senior Software Engineer</strong> with strong expertise in backend development and an AI forward mindset to support a Financial Services client headquartered in Bellevue, WA. This position is a 6 month contract and is 100% Remote. Apply today!</p><p><br></p><p><strong>Duration:</strong> 6 month contract</p><p><strong>Schedule</strong>: PST Core Hours, flexible </p><p><strong>Location:</strong> 100% Remote </p><p><br></p><p><strong>Responsibilities: </strong></p><ul><li>Develop secure, scalable, and maintainable backend applications using <strong>Python</strong>.</li><li>Design, build, and maintain <strong>microservices, RESTful APIs, and cloud-native applications</strong>.</li><li>Develop reusable solutions, shared libraries, and engineering standards that improve team productivity.</li><li>Participate in code reviews and ensure adherence to development and quality standards.</li><li>Implement unit, integration, and performance testing to support production-ready solutions.</li><li>Configure and maintain <strong>CI/CD pipelines</strong> and development automation.</li><li>Troubleshoot production issues and perform root cause analysis.</li><li>Partner with Product Owners, Business Analysts, architects, and other stakeholders to translate business requirements into effective technical solutions.</li><li>Participate in and lead technical design discussions, architecture reviews, and engineering initiatives.</li><li>Apply best practices for <strong>scalability, security, performance, observability, disaster recovery, and capacity planning</strong>.</li><li>Communicate technical decisions and tradeoffs effectively to both technical and non-technical audiences.</li><li>Mentor and provide technical guidance to other engineers through pairing, coaching, and knowledge sharing.</li><li>Leverage <strong>AI-assisted development tools and integrated AI agents</strong> to improve developer velocity, code quality, automation, and engineering outcomes.</li><li>Evaluate emerging technologies and help introduce tools and practices that improve software delivery.</li></ul>
<p>This opportunity is with a growing organization in the energy industry that is investing heavily in its cybersecurity capabilities. The team is seeking an experienced Cybersecurity Engineer to help strengthen security operations, protect enterprise systems and cloud environments, and support ongoing security modernization initiatives.</p><p><br></p><p><strong>POSITION TITLE:</strong> Cybersecurity Engineer</p><p><strong>LOCATION:</strong> Midland, TX (Onsite 5 Days per Week) - RELOCATION PROVIDED</p><p><strong>SALARY:</strong> $120,000 - $150,000 Base + Bonus + Long-Term Incentives</p><p><br></p><p><strong>RESPONSIBILITIES</strong></p><ul><li>Manage and enhance Identity and Access Management (IAM) solutions, including SSO, MFA, RBAC, Conditional Access, and Privileged Access Management.</li><li>Lead cybersecurity incident response activities, including threat detection, containment, remediation, recovery efforts, and post-incident analysis.</li><li>Administer and improve vulnerability management processes through security scanning, risk prioritization, remediation tracking, and collaboration with infrastructure teams.</li><li>Deploy, maintain, and optimize EDR/XDR, SIEM, and other security monitoring technologies to identify and respond to security threats.</li><li>Design and implement enterprise security controls, security policies, cloud security solutions, firewalls, DLP technologies, and intrusion prevention capabilities.</li></ul><p><br></p>
<p><strong>Machine Learning Engineer</strong></p><p><strong>Pay: </strong>$70-75/hr, available solely on W2 Basis</p><p><strong>Consultant I (Contractor)</strong></p><p><strong>Work Location:</strong> Reston, VA (4x onsite)</p><p><strong>Engagement Type: </strong>34 Week Contract, Potential for Extension or Conversion</p><p><strong>Position Overview</strong></p><p>We are seeking a Machine Learning Engineer to support the design, development, and optimization of machine learning solutions for real‑world applications. This role focuses on model development, data pipeline construction, and performance evaluation within a collaborative engineering environment.</p><p><strong>Key Responsibilities</strong></p><ul><li>Design, build, train, and evaluate machine learning and deep learning models for production and analytical use cases</li><li>Develop and maintain scalable data pipelines for data collection, cleaning, transformation, and ingestion</li><li>Conduct experiments and analyze performance metrics such as accuracy, recall, and AUC</li><li>Optimize models for performance, speed, reliability, and scalability</li><li>Collaborate with cross‑functional teams to support data‑driven solutions</li></ul>
RESPONSIBILITIES:<br>ML Model Deployment & Platform Management<br>• Lead the design, implementation, and ongoing maintenance of scalable ML infrastructure on Databricks, including ML flow for experiment tracking, model registry, and model serving endpoints.<br>• Oversee the development of the ML Ops platform and automated pipelines for deploying, monitoring, and maintaining models within production environments.<br>• Implement robust solutions for model versioning, systematic retraining, and comprehensive artifact management using Databricks Unity Catalog for ML governance.<br>• Design and manage Databricks Feature Store for consistent feature engineering across training and inference pipelines.<br>Generative AI & LLM Operations<br>• Architect and implement Retrieval-Augmented Generation (RAG) systems for document Q&A, enabling business teams to query fund documents, investor letters, and market research.<br>• Design, deploy, and manage vector database solutions (Databricks Vector Search, Pinecone, or similar) for semantic search and retrieval across enterprise documents.<br>• Lead LLM fine-tuning and customization initiatives, training models like Claude or open-source alternatives with CIM proprietary data while ensuring data privacy and compliance.<br>• Develop and optimize document processing pipelines including PDF parsing, chunking strategies, and embedding generation for RAG applications.<br>• Implement prompt engineering best practices and LLM evaluation frameworks to ensure output quality, relevance, and factual accuracy.<br>• Build guardrails and safety measures for GenAI applications, including hallucination detection, output validation, and source attribution.<br>Automation & CI/CD Pipelines<br>• Design and implement extensive automation across the ML workflow, covering model training, testing, validation, and deployment using Databricks Workflows and Asset Bundles.<br>• Set up robust CI/CD pipelines for both traditional ML models and GenAI applications, leveraging GitHub Actions, Azure DevOps, or similar tools.<br>• Automate complex data and model workflows utilizing orchestration tools such as Airflow, Prefect, or Databricks Workflows.
<p><strong>Machine Learning Engineer</strong></p><p><br></p><p><strong>Company Overview</strong></p><p>Based in Los Angeles, California, the company specializes in transforming complex, multi-source data into actionable insights through machine learning, knowledge graph technologies, and advanced analytics. This is an opportunity to work on mission-critical applications in a highly collaborative environment focused on innovation, scalability, and operational excellence.</p><p><br></p><p><strong>Role Summary</strong></p><p>The Machine Learning Engineer will play a critical role in designing, training, deploying, and optimizing machine learning models that operate on large-scale temporal, geospatial, relational, and unstructured datasets. This position requires an experienced engineer who can independently own the full machine learning lifecycle, from dataset development and model architecture selection to deployment, monitoring, and continuous improvement. The ideal candidate brings broad expertise across computer vision, natural language processing (NLP), geospatial analytics, MLOps, and large-scale production machine learning environments.</p><p><br></p><p><strong>Key Responsibilities</strong></p><ul><li>Design, train, evaluate, deploy, and optimize machine learning models across multiple production use cases.</li><li>Build predictive solutions for anomaly detection, forecasting, entity resolution, relationship prediction, risk assessment, and operational decision support.</li><li>Partner with data engineering teams to develop high-quality training datasets from structured, unstructured, temporal, relational, and geospatial data sources.</li><li>Design model architectures and select appropriate algorithms based on business objectives, data characteristics, and operational requirements.</li><li>Develop and maintain machine learning pipelines spanning data preparation, feature engineering, training, evaluation, deployment, and monitoring.</li><li>Build scalable solutions that leverage graph-based and knowledge graph-driven data architectures.</li><li>Develop models utilizing computer vision, NLP, geospatial analytics, and predictive modeling techniques.</li><li>Establish rigorous evaluation frameworks, baselines, performance metrics, and validation methodologies.</li><li>Design experiments that mitigate data leakage, model drift, bias, and changing data distributions.</li><li>Implement monitoring, observability, alerting, retraining, rollback, and model governance processes.</li><li>Maintain reproducible datasets, model artifacts, evaluation results, and deployment workflows.</li><li>Collaborate with distributed engineering teams to deliver reliable and scalable machine learning capabilities.</li><li>Improve model calibration, confidence scoring, uncertainty estimation, and explainability.</li><li>Contribute to technical architecture, machine learning standards, and long-term platform strategy.</li></ul><p><strong>Additional Details</strong></p><ul><li>Fully onsite 5 days a week</li><li>Highly collaborative environment with strong emphasis on machine learning, knowledge graphs, and data-driven decision support</li><li>Opportunity to influence technical direction, machine learning standards, and model lifecycle practices across multiple initiatives</li><li>Candidates must be authorized to work in the United States and satisfy applicable regulatory employment requirements</li></ul>
We are looking for a Software Engineer - Data Science to join a growing organization in Naperville, Illinois and help strengthen the platform capabilities that support machine learning and data science initiatives. This Long-term Contract position will partner closely with infrastructure, development, and data-focused teams to build reliable engineering foundations, streamline delivery practices, and improve day-to-day productivity. The ideal candidate brings a strong software engineering background along with experience in cloud environments, automation, and modern deployment workflows.<br><br>Responsibilities:<br>• Design and enhance platform solutions that enable data scientists and machine learning engineers to develop, test, and deploy their work efficiently<br>• Build, maintain, and optimize CI/CD workflows to support dependable releases and consistent engineering standards<br>• Develop automation for infrastructure provisioning and configuration management using infrastructure-as-code approaches<br>• Manage and improve cloud-based resources and services to ensure scalable, secure, and resilient platform operations<br>• Collaborate with engineering and data teams to remove workflow bottlenecks and strengthen the overall developer experience<br>• Support software delivery best practices across the full development lifecycle, from code integration through production deployment<br>• Contribute to application and platform development efforts using technologies such as C#, .NET, ASP.NET, JavaScript, and React.js<br>• Integrate and support data platform components, including Snowflake, within broader engineering solutions
<p>We are looking for a Network Deployment Engineer to support a contract assignment in Great Bend, KS & McCook, NE. This Contract position focuses on replacing legacy network hardware with standardized infrastructure at field locations, requiring strong hands-on installation skills and the ability to work independently in telecom spaces. The ideal candidate brings practical experience with routers, firewalls, switches, and structured cabling, along with the troubleshooting ability needed to keep site activations on track.</p><p><br></p><p>This is a 2 to 3 day project. If successfully completed, this would lead to a nationwide initiative to update all MDF sites. </p><p><br></p><p>Responsibilities:</p><p>• Remove outdated network equipment from racks and shelves and install replacement hardware that aligns with current infrastructure standards.</p><p>• Mount and connect routers, firewalls, and related network components using proper installation and cabling practices.</p><p>• Provide direct console connectivity to network devices during activation windows and support remote technical teams through screen sharing in Microsoft Teams.</p><p>• Reconnect copper and fiber patching between devices to restore site connectivity and maintain clean, organized cable routing.</p><p>• Perform on-site troubleshooting during cutovers to identify and resolve hardware, connectivity, or configuration issues efficiently.</p><p>• Validate network-related services after deployment by checking wireless access, printing functionality, and phone connectivity.</p><p>• Work independently at remote sites, manage installation tasks from start to finish, and communicate progress through timely status updates.</p><p>• Use standard field tools, laptop-based terminal access, and connectivity equipment to complete deployment activities safely and effectively.</p>
We are looking for an Enterprise Data Engineer to support enterprise-scale data integration and engineering initiatives for a life insurance organization in West Des Moines, Iowa. This Long-term Contract position is ideal for a technically strong individual who can build reliable data solutions, improve information flow across platforms, and partner with stakeholders to turn complex requirements into practical outcomes. The role combines hands-on engineering with solution design, with an emphasis on scalability, security, and data quality.<br><br>Responsibilities:<br>• Build and maintain robust data pipelines and integration workflows that support large-scale enterprise data movement and processing.<br>• Develop transformation logic and orchestration processes using tools such as dbt, Azure Data Factory, Azure Data Lake, and related cloud-based technologies.<br>• Connect Snowflake with internal platforms, cloud services, APIs, and reporting tools to enable dependable and efficient data exchange.<br>• Work closely with product owners, architects, and technical teams to convert business needs into well-structured data models and engineering solutions.<br>• Analyze functional and non-functional requirements to design data assets and workflows that align with operational and analytical objectives.<br>• Promote sound engineering practices by defining standards for development, governance, security, and maintainability across data solutions.<br>• Validate data processing outcomes through testing, issue investigation, and resolution of transformation or pipeline errors.<br>• Track performance, reliability, and cost metrics for pipelines and recommend enhancements that improve efficiency and stability.<br>• Evaluate emerging tools and architectural patterns that can strengthen enterprise data delivery and integration capabilities.
<p><strong>Cloud Engineer</strong></p><p>We are seeking a talented <strong>Cloud Engineer</strong> to join our infrastructure team. This role is ideal for someone who enjoys building cloud-based solutions, optimizing deployments, and supporting scalable, secure environments. The ideal candidate will have strong problem-solving abilities, excellent communication skills, and a solid foundation in cloud architecture with room to grow into more advanced engineering responsibilities.</p><p><strong>Responsibilities</strong></p><ul><li>Deploy, configure, and manage cloud resources across Azure, AWS, and/or GCP</li><li>Implement cloud security controls including IAM/RBAC permissions, encryption, policies, and MFA</li><li>Build and maintain Infrastructure-as-Code templates using Terraform, ARM/Bicep, or CloudFormation</li><li>Support CI/CD pipelines and automated deployments for application and infrastructure releases</li><li>Monitor cloud performance, availability, cost usage, and alerts using native tools</li><li>Troubleshoot cloud networking issues including firewalls, VNETs/VPCs, routing, gateways, and load balancers</li><li>Support containerized workloads using Docker and Kubernetes</li><li>Collaborate with developers, DevOps teams, and systems administrators on cloud projects</li><li>Document cloud architectures, procedures, and operational guidelines</li><li>Assist with cloud migrations, modernization initiatives, and optimization efforts</li></ul><p><br></p>
We are looking for a Cloud Engineer to support and enhance a cloud-first environment in Livonia, Michigan. This Long-term Contract position is centered on Azure engineering, with a strong emphasis on secure cloud applications, identity management, endpoint administration, and platform optimization. The person in this role will serve as the primary Azure specialist, partnering with technical teams to deliver infrastructure improvements, strengthen security controls, and maintain reliable cloud operations.<br><br>Responsibilities:<br>• Lead Azure-focused engineering efforts for cloud applications and infrastructure initiatives across the environment.<br>• Configure and improve identity and access controls, including conditional access policies and authentication enhancements such as passkey adoption.<br>• Administer and optimize Microsoft Intune to support endpoint management, policy enforcement, and device security standards.<br>• Work within Microsoft Defender and related security tools to strengthen protection, monitor risks, and support remediation activities.<br>• Build and manage Azure virtual machines and ensure network security groups are properly applied to meet security and connectivity requirements.<br>• Support server migration activities into Azure by planning, provisioning, and validating cloud-based resources.<br>• Prepare recurring cloud cost analysis and usage reporting to help monitor spending and improve resource efficiency.<br>• Collaborate with internal teams to maintain a secure, scalable, and well-governed Azure environment while acting as the primary Azure subject matter expert.
We are looking for a Cloud Engineer to support and enhance cloud-based infrastructure in Chicago, Illinois. This role focuses on building reliable AWS environments, improving automation, and helping teams maintain scalable and secure systems. The ideal candidate brings hands-on experience with core AWS services and infrastructure-as-code tools to deliver efficient cloud operations.<br><br>Responsibilities:<br>• Design, deploy, and maintain cloud infrastructure within AWS to support application performance, reliability, and growth<br>• Build and manage automated provisioning and configuration workflows using Ansible and related tools<br>• Configure and optimize Amazon EC2 environments to meet availability, security, and cost-efficiency goals<br>• Implement and manage Auto Scaling strategies to ensure systems can respond effectively to changing workload demands<br>• Monitor cloud resources, troubleshoot infrastructure issues, and resolve operational problems in a timely manner<br>• Collaborate with engineering and operations teams to improve deployment processes and strengthen platform stability<br>• Apply cloud security and governance best practices across infrastructure components and access controls
<p>We are looking for an experienced Cloud Engineer to lead the design, reliability, and ongoing improvement of cloud infrastructure. This role focuses on building secure, resilient, and high-performing AWS environments while partnering closely with engineering and operations teams to support critical systems. The ideal candidate brings strong hands-on expertise in infrastructure automation, observability, and incident management, along with the ability to drive operational excellence across a modern cloud platform.</p><p><br></p><p>Responsibilities:</p><p>• Manage and enhance AWS core infrastructure components, including VPCs, Route 53, CDNs, load balancers, and EC2 services, to support secure and highly available operations.</p><p>• Build and refine multi-zone disaster recovery and resiliency solutions, and validate recovery readiness through recurring testing and review.</p><p>• Respond to production issues with cross-functional teams by diagnosing failures, identifying root causes, and implementing long-term corrective measures.</p><p>• Develop and maintain observability practices using tools such as CloudWatch and Datadog, including logging, metrics, dashboards, and alerting.</p><p>• Evaluate cloud environments for performance, scalability, and cost improvements, and recommend changes that strengthen operational efficiency.</p><p>• Create and support infrastructure automation using Terraform, CloudFormation, or AWS CDK to standardize provisioning and configuration management.</p><p>• Improve deployment workflows by contributing to CI/CD pipelines and automation processes using tools such as GitHub Actions, Harness, or similar platforms.</p><p>• Maintain clear technical documentation for infrastructure designs, configurations, procedures, and support practices.</p><p>• Partner with developers, system administrators, and security stakeholders to align cloud architecture with business and technical requirements.</p>
<p><strong>Job Title</strong></p><p>DevOps Engineer</p><p><br></p><p><strong>Company Overview</strong></p><p>A leading enterprise organization in the consumer and retail services sector, based in San Gabriel Valley, California, is focused on delivering scalable, secure, and innovative technology solutions across a large, distributed environment. The company is committed to modernizing its infrastructure through cloud adoption, automation, and advanced identity management, enabling high-performance operations and long-term growth.</p><p><br></p><p><strong>Role Summary</strong></p><p>The Senior Cloud Solutions Architect will lead the design, implementation, and governance of enterprise cloud architecture in San Gabriel Valley, California. This role serves as a strategic and hands-on technical leader responsible for driving cloud transformation, identity management, and infrastructure modernization across hybrid and multi-cloud environments. The position partners closely with cross-functional teams to ensure solutions are scalable, secure, and aligned with business objectives.</p><p><br></p><p><strong>Key Responsibilities</strong></p><ul><li>Design and implement enterprise cloud architecture across Azure, AWS, and hybrid environments</li><li>Define architecture standards, frameworks, and best practices for scalable and secure cloud solutions</li><li>Lead cloud migration, modernization, and cloud-native initiatives across business platforms</li><li>Architect and manage identity systems, including Active Directory and cloud-based identity services</li><li>Oversee design, governance, and optimization of enterprise productivity and collaboration platforms</li><li>Drive adoption of Infrastructure as Code (IaC), automation, and DevOps best practices</li><li>Partner with security teams to ensure compliance with industry standards and secure design principles</li><li>Collaborate with engineering and finance teams to optimize cloud performance, scalability, and cost</li><li>Provide technical leadership, mentorship, and architectural guidance across teams</li><li>Evaluate emerging technologies and recommend strategies for continuous improvement and innovation</li></ul><p><strong>Compensation & Benefits</strong></p><ul><li>$155,000 - $160,000 plus discretionary bonus and stock</li><li>Comprehensive medical, dental, and vision coverage with strong employer contribution</li><li>Retirement savings plan with company match</li><li>Employee discounts and additional wellness-focused benefits</li><li>Competitive total rewards package with long-term growth opportunity</li></ul><p><strong>Additional Details</strong></p><ul><li>4x per week onsite in San Gabriel Valley</li><li>Flexible start times to support work-life balance</li><li>High-impact role working closely with infrastructure leadership</li><li>Opportunity to shape enterprise cloud strategy in a large-scale environment</li></ul>
<p>We are looking for a Cloud Engineer to help create resilient, modern cloud solutions that support large-scale, event-driven workloads in Northern, Virginia. This position combines technical architecture, hands-on engineering, and close collaboration with stakeholders to deliver secure, high-performing systems. The role is ideal for someone who can balance strategic thinking with practical execution while guiding teams and strengthening client partnerships.</p><p><br></p><p>Responsibilities:</p><p>• Create and refine cloud-native, serverless solutions designed to support high-throughput data processing and event-based applications.</p><p>• Work directly with stakeholders to understand operational goals, identify limitations, and recommend effective technical approaches.</p><p>• Provide technical guidance to decision-makers by evaluating options, outlining risks, and helping resolve complex engineering issues.</p><p>• Build trusted relationships with clients and contribute to team growth through mentorship, collaboration, and technical leadership.</p><p>• Remain actively involved in delivery by participating in architecture reviews, overseeing implementation quality, and developing prototypes when needed.</p><p>• Investigate production issues and optimize system reliability, scalability, and overall performance across cloud environments.</p>
We are seeking an experienced Cloud Engineer to provide day-to-day operational support for our enterprise network and cloud infrastructure. This role is essential to maintaining the performance, security, and reliability of our hybrid environment, which spans both on-premises systems and Azure cloud services. The ideal candidate will have strong hands-on experience with Azure networking, security, and infrastructure components, and will be responsible for monitoring, troubleshooting, and optimizing cloud and network operations. You’ll collaborate closely with infrastructure and security teams to ensure seamless connectivity, secure access, and efficient resource management across the organization. This position operates within an Agile environment, so familiarity with Agile methodologies is important. The candidate should be comfortable participating in daily stand-ups, weekly sprint planning, and regular retrospectives, contributing to a fast-paced and collaborative team culture focused on continuous improvement and delivery.<br><br>What you will do:<br><br>Provide operational support for enterprise network infrastructure (on-prem and Azure)<br>Manage Azure components: VNets, NSGs, Application Gateways, Azure Firewall, ExpressRoute<br>Operate and enhance an Azure Hub-and-Spoke landing zone (VNets/Subnets, NSGs/ASGs, UDRs, routing).<br>Administer Azure Firewall policies, forced routing/egress control, and logging/diagnostics.<br>Implement and maintain Private Endpoints/Private Link and Private DNS Zones for private-only service access.<br>Manage hybrid connectivity and remote access using VPN Gateway (Site-to-Site + Point-to-Site) and ExpressRoute (if applicable).<br>Monitor and troubleshoot network and connectivity using Azure Monitor, Log Analytics, and Network Watcher.<br>Own Disaster Recovery and Backup using Recovery Services Vault (Azure Backup + Azure Site Recovery), including DR testing and runbooks.<br>Drive secure-by-default cloud networking standards, documentation, and continuous optimization.<br>Collaborate with infrastructure and security teams on changes, upgrades, patching, and incident response.<br><br>What you will need:<br><br>Around 5+ years in a Network Engineer or similar role<br>Strong understanding of TCP/IP, LAN/WAN, DNS, DHCP, VLANs, routing protocols (BGP, OSPF), IPsec VPN<br>Hands-on Azure networking: VNets, NSGs, UDRs, Azure Firewall, Application Gateway/WAF, VPN Gateway (P2S/S2S), Private Link/DNS.<br>DR/BC experience with Recovery Services Vault, Azure Backup policies/restores, and Azure Site Recovery failover/failback.<br>Virtualization: VMware, Pure Storage, Windows/Linux<br>Security: Sentinel One, DUO<br><br>VPN/Remote Access: Ivanti<br>Familiarity with Azure Monitor, Network Watcher, Wireshark<br>Experience with ARM templates or Terraform is a plus<br>Current authorization to work in the United States without the need for visa sponsorship now or in the future (e.g., F-1 STEM OPT, H-1B, TN, O-1, I-485J portability, etc.<br><br>What we offer you:<br><br>Competitive bonus program<br>Medical/Dental/Vision insurance, Life Insurance, Disability, Health Savings Account, Dependent Care Reimbursement, Commuter Benefits, 401k match program, and voluntary insurance options<br>Generous time off/flexible work arrangements<br>Reimbursement for admission fees and study material for professional designations
<p>We are seeking a <strong>Senior Cloud Engineer</strong> to join a collaborative team supporting strategic cloud initiatives in Oklahoma City, Oklahoma. This Long-term Contract opportunity is ideal for an experienced cloud professional who excels at designing scalable infrastructure, driving automation, and leading cloud modernization efforts across enterprise environments. The role offers the opportunity to influence cloud strategy, architect platform solutions, and contribute to emerging technologies, including AI-enabled capabilities.</p><p><br></p><p>Responsibilities:</p><p>• Support the implementation, configuration, and ongoing maintenance of cloud infrastructure across enterprise environments.</p><p>• Develop and refine Infrastructure as Code solutions using Terraform to create consistent and repeatable deployments.</p><p>• Partner with technical teams to establish cloud architecture patterns, governance practices, and secure platform foundations.</p><p>• Contribute to workload modernization and migration efforts as applications and services evolve within the cloud ecosystem.</p><p>• Assist with CI/CD improvements by helping enhance automation workflows and supporting the use of GitHub-based delivery pipelines.</p><p>• Participate in building a new data platform that incorporates modern cloud services and AI-oriented capabilities.</p><p>• Create scripts and automated processes that streamline operations, reduce manual effort, and improve reliability.</p><p>• Work closely with infrastructure, application, and data stakeholders to deliver scalable, resilient, and secure cloud solutions.</p><p>• Help monitor platform health, support operational excellence initiatives, and strengthen overall service stability.</p>
<p>Robert Half is seeking an experienced Cloud Engineer to support the design, implementation, and optimization of enterprise cloud infrastructure. This role will focus on developing scalable, reliable, and secure cloud solutions that support business-critical applications and services. The ideal candidate will have strong experience across public cloud platforms, infrastructure automation, and cloud operations.</p><p><br></p><p><strong>Location:</strong> Hybrid in Portland (Pay to Park)</p><p><strong>Duration:</strong> 6 months with potential to extend/convert</p><p><strong>Schedule:</strong> Monday-Thursday (Onsite), Fridays (Remote) - 8am-5pm PST</p><p><br></p><p><strong>Key Responsibilities:</strong></p><ul><li>Participate in the architecture, design, and implementation of cloud solutions that meet scalability, performance, security, and reliability requirements.</li><li>Collaborate with technical and non-technical stakeholders to understand business needs and translate requirements into cloud-based solutions.</li><li>Promote best practices across cloud architecture, infrastructure management, security, and operational processes.</li><li>Enable teams to effectively leverage cloud resources while balancing performance, scalability, cost optimization, compliance, and security requirements.</li><li>Drive improvements through automation, Infrastructure as Code (IaC), monitoring, logging, troubleshooting, and operational excellence initiatives.</li><li>Implement and maintain CI/CD pipelines and automated deployment processes.</li><li>Develop and enhance cloud standards, policies, procedures, and governance frameworks.</li><li>Stay current on emerging cloud technologies and industry best practices, recommending improvements that increase efficiency, security, and platform maturity.</li><li>Support cloud infrastructure troubleshooting, performance tuning, and incident resolution.</li></ul>
We are looking for an experienced ERP/CRM Consultant to lead the development and evolution of enterprise Salesforce solutions. This long-term contract position is ideal for a senior consultant who can translate business needs into scalable platform capabilities while partnering with technical and non-technical teams. The role focuses on delivering high-quality Salesforce applications, strengthening integrations, and supporting reliable release practices in a large-scale environment.<br><br>Responsibilities:<br>• Architect, build, and enhance Salesforce solutions that support core business functions across Sales Cloud, Experience Cloud, and Field Service capabilities.<br>• Create and maintain custom platform functionality using Apex, Lightning Web Components, Aura Components, and structured trigger frameworks to support complex business processes.<br>• Develop, refine, and troubleshoot integrations between Salesforce and external applications through APIs, web services, and middleware technologies.<br>• Promote sound engineering practices by monitoring platform constraints, improving application performance, and upholding established development standards.<br>• Review technical deliverables, provide constructive feedback to peers, and help strengthen coding guidelines and team development processes.<br>• Coordinate deployment activities and support release execution through version control systems and modern DevOps toolsets.<br>• Work closely with stakeholders, solution architects, administrators, and delivery teams to define requirements and implement solutions within Agile ceremonies.<br>• Offer technical leadership by explaining design approaches, recommending platform options, and guiding decision-making for varied stakeholder groups.
<p>We are looking for a detail-focused Engineer/Analyst to join a Long-term Contract assignment supporting technical data quality and material information management in northern Kentucky. In this role, you will help maintain accurate, standardized data for raw materials and packaging components so teams can move product development, supplier onboarding, and manufacturing activities forward efficiently. This position works closely with research, quality, procurement, operations, and master data partners to strengthen consistency across systems and improve the reliability of material records. This role will be onsite 4 days a week and 1 day remote. Must be comfortable working in a lab/plant manufacturing setting. YOU MUST LIVE IN KY or OH to be considered. No option for remote work.</p><p><br></p><p>Responsibilities:</p><p>• Manage the collection, review, and entry of technical specifications for raw materials and packaging components within designated data and specification platforms.</p><p>• Verify that material records are complete, accurate, and aligned with company standards, compliance expectations, and approved documentation.</p><p>• Apply consistent naming structures, formatting rules, and data standards to improve usability across regional and enterprise systems.</p><p>• Investigate missing, conflicting, or outdated information in material specifications and resolve issues through coordination with cross-functional stakeholders.</p><p>• Maintain material master records and ensure proper connections between specification data, system entries, and related documentation.</p><p>• Build, revise, and validate bills of materials to support production readiness, product updates, supplier changes, and ongoing improvement efforts.</p><p>• Partner with master data, procurement, operations, and technical teams to enhance data governance practices and streamline data management processes.</p><p>• Monitor assigned project activities and data deliverables to help keep timelines on track and support broader documentation standardization efforts.</p>
We are looking for a Data Engineer to support enterprise data movement and application integration efforts in Boston, Massachusetts. This Long-term Contract position will focus on building, maintaining, and enhancing custom services that transfer, load, and transform data across multiple systems. The role works closely with technical and business teams to deliver reliable integration solutions using .NET/C#, APIs, and modern deployment practices.<br><br>Responsibilities:<br>• Design, support, and improve custom integration services that move data between enterprise platforms and applications.<br>• Build and maintain ETL processes for data loading, transformation, and system-to-system exchange.<br>• Develop microservice-based solutions in .NET/C# to replace larger legacy integration components where needed.<br>• Create and support API-driven integrations, including services that rely on REST and SOAP protocols.<br>• Partner with business analysts, developers, and solution stakeholders to translate operational needs into technical data workflows.<br>• Monitor data pipelines and integration jobs, troubleshoot failures, and resolve performance or reliability issues.<br>• Contribute to deployment and release activities using Azure DevOps or comparable CI/CD tools.<br>• Support integrations involving key enterprise platforms such as Salesforce and higher education systems when applicable.
We are looking for a senior-level Data Engineer to shape and deliver a scalable data platform in Kalamazoo, Michigan. This role combines strategic architecture with hands-on engineering, creating reliable data products that support reporting, advanced analytics, and AI-driven solutions. The ideal candidate will build secure, multi-tenant data capabilities with strong attention to privacy, governance, and long-term platform quality.<br><br>Responsibilities:<br>• Lead the design of a modern data platform that supports ingestion, transformation, storage, and consumption across analytical and operational use cases.<br>• Build and maintain robust batch and streaming pipelines that move data from relational systems, object storage, document databases, and event sources into centralized platforms.<br>• Define data architecture standards, modeling approaches, and engineering practices that improve consistency, reliability, and scalability across the organization.<br>• Create multi-tenant data solutions with strong isolation controls, secure access patterns, and governance measures built into the platform design.<br>• Develop data models and serving layers that enable enterprise reporting, self-service analytics, and AI or machine learning workloads.<br>• Evaluate cloud-based data services, processing frameworks, and warehouse technologies to ensure the platform meets performance, cost, and security expectations.<br>• Partner with product, engineering, and leadership teams to explain technical decisions, highlight risks, and align platform investments with business priorities.<br>• Oversee external vendors and implementation partners by reviewing recommendations, challenging misaligned approaches, and enforcing internal data standards.
<p>We are looking for a Data Engineer to join a long-term, 100% remote contract opportunity. This role will focus on strengthening and modernizing the organization’s reporting environment by improving how data is collected, connected, transformed, and presented through Power BI. The ideal candidate will bring strong hands-on experience building enterprise-grade data solutions and will be comfortable working independently in an environment that values initiative, problem-solving, and practical execution.</p><p><br></p><p>Responsibilities:</p><p>• Design and enhance data pipelines that move information reliably across systems and support accurate business reporting.</p><p>• Integrate data from multiple internal and external sources so platforms communicate effectively and deliver consistent outputs.</p><p>• Refine and elevate existing Power BI solutions by improving data models, report performance, usability, and visualization quality.</p><p>• Establish automated data refresh schedules and workflow orchestration to support timely and dependable reporting operations.</p><p>• Build scalable transformation processes that prepare raw data for downstream analytics, dashboards, and operational insights.</p><p>• Connect and manage end-to-end data flows to ensure information is routed to the proper destinations with strong data integrity.</p><p>• Apply enterprise data engineering practices, including medallion architecture and Microsoft Fabric capabilities, to support a sustainable analytics framework.</p><p>• Partner with stakeholders to identify gaps, propose effective solutions, and implement improvements with minimal oversight in a fast-moving environmen</p>