<p>We’re seeking a Staff Software Engineer to lead technical strategy and execution across a product domain or platform area spanning multiple teams. In this role, you will own outcomes end-to-end by defining success metrics, shaping the roadmap, and driving measurable improvements over time.</p><p><br></p><p>You will set the architectural direction for scalable APIs, backend services, data platforms, and event-driven systems that operate across team boundaries. You’ll also lead the most complex work related to performance, scalability, and reliability.</p><p>As a senior technical leader, you will raise the engineering bar across the organization by establishing standards, creating reusable platforms and patterns, improving documentation practices, simplifying systems, and reducing technical debt.</p><p>You’ll be responsible for making and communicating high-impact technical decisions across architecture, security, performance, cost, and scalability. This includes identifying risks early and designing safeguards before they become incidents.</p><p>This role requires close partnership with Product, Design, Machine Learning, Client Success, and engineering leadership to shape strategy, turn ambiguous business goals into clear multi-quarter technical plans, and align teams on execution.</p><p>You will also help define how the organization adopts AI-assisted and agentic development practices by establishing guardrails for verification, security, and human accountability in production decisions, while measuring the real impact these tools create.</p><p>In addition, you will mentor senior engineers, influence technical direction across the organization, lead architecture reviews, and remain hands-on with the highest-impact technical work.</p><p><br></p>
<p>Robert Half is hiring! We are looking for a Principal Software Engineer to lead the design and delivery of modern AI-driven software solutions. This role combines hands-on engineering with technical leadership across backend services, frontend applications, and intelligent workflow development. The ideal candidate brings deep full-stack expertise, a strong product mindset, and the ability to guide scalable systems from concept through production.</p><p><br></p><p>Responsibilities:</p><p>• Lead complete product delivery efforts, from technical planning and architecture through implementation, testing, and long-term support.</p><p>• Create and refine agentic AI workflows that support business goals and integrate effectively with broader application ecosystems.</p><p>• Build, enhance, and support scalable server-side applications using Python frameworks such as Django, Flask, or FastAPI, or Node.js frameworks including Express or NestJS.</p><p>• Develop robust RESTful and GraphQL interfaces that enable reliable communication between platforms, services, and user-facing applications.</p><p>• Implement and improve React-based frontend features with a focus on usability, responsiveness, and smooth integration with backend systems.</p><p>• Architect and maintain microservices and distributed application components to support performance, resilience, and future growth.</p><p>• Improve system efficiency by tuning application behavior, streamlining database interactions, and optimizing cloud infrastructure usage.</p><p>• Apply strong security standards by implementing access controls, authentication mechanisms, and authorization practices across the platform.</p><p>• Oversee automated delivery processes and container-based deployments using CI/CD pipelines, Docker, and related engineering tools.</p><p>• Partner with product, design, and DevOps teams to resolve production issues, maintain cloud-based services, and deliver high-quality software outcomes.</p>
<p>Robert Half is seeking a Systems Engineer II for a client in the financial services industry. This role is ideal for an experienced Linux professional with strong expertise in Red Hat Enterprise Linux and working knowledge of Ubuntu and related distributions. The Systems Engineer II will design, implement, secure, and maintain enterprise Linux platforms across on-premises, virtual, and cloud environments supporting critical business services.</p><p>Key Responsibilities:</p><ul><li>Administer, patch, upgrade, and troubleshoot enterprise Linux servers, primarily Red Hat Enterprise Linux</li><li>Implement system hardening, security controls, and vulnerability remediation</li><li>Monitor performance, availability, and operational health across production environments</li><li>Support compliance initiatives aligned with SCAP, STIG, CIS benchmarks, and NIST controls</li><li>Automate provisioning, patching, and administration using tools such as Bash, Python, and Ansible</li><li>Provide advanced troubleshooting, root cause analysis, and support for backup, recovery, and disaster recovery efforts</li><li>Collaborate with infrastructure, cybersecurity, cloud, database, and application teams</li></ul><p><br></p>
<p>We are looking for a Systems Engineer to support and enhance our client's technology environment. This role focuses on maintaining secure, reliable infrastructure while helping end users and internal teams resolve technical issues efficiently. The ideal candidate brings strong experience with Microsoft platforms, virtualization, and cloud services, along with a practical understanding of cybersecurity and regulated environments.</p><p><br></p><p>Responsibilities:</p><p>• Manage and support core infrastructure platforms, including Windows Server, Active Directory, Exchange, Microsoft 365, Azure, and endpoint protection tools.</p><p>• Maintain and optimize virtual environments, virtual desktop solutions, and storage systems to ensure performance, availability, and scalability.</p><p>• Diagnose technical issues across servers, user systems, and network-connected services, and deliver timely resolution with a strong service mindset.</p><p>• Partner with colleagues across departments to implement system improvements, monitor operational health, and reduce technology risk.</p><p>• Apply security best practices and support compliance efforts within a banking or highly regulated environment.</p><p>• Assist with administration of cloud-based identity and collaboration tools, including Azure Active Directory and Microsoft Copilot capabilities where applicable.</p><p>• Document configurations, procedures, and support activities to promote consistency and efficient issue resolution.</p><p>• Travel as needed to provide on-site technical support, project assistance, or infrastructure maintenance.</p>
<p>We are seeking a <strong>Data Governance Engineer</strong> to help build, implement, and maintain enterprise data governance capabilities across our Microsoft Fabric and Snowflake environments. This role combines data governance, metadata management, data quality, and cloud data engineering to ensure data is trusted, secure, discoverable, and compliant across the organization.</p><p>The ideal candidate will have experience working with modern data platforms and governance technologies, supporting initiatives related to data cataloging, lineage, classification, stewardship, security, and regulatory compliance.</p>
We are looking for a Cyber Security Engineer to strengthen and support the security of our technology environment in Brookfield, Wisconsin. In this role, you will help safeguard infrastructure, applications, networks, and data by building effective controls, assessing risk, and responding to security concerns. You will work closely with cross-functional technical teams to improve resilience, reduce exposure, and promote practical security standards across daily operations.<br><br>Responsibilities:<br>• Build, configure, and sustain security measures across cloud platforms, network infrastructure, servers, and endpoint devices.<br>• Review security monitoring data, analyze suspicious activity, and investigate alerts generated through enterprise security tools such as Microsoft Sentinel, Splunk, or QRadar.<br>• Perform vulnerability reviews, prioritize findings based on risk, and partner with technical teams to drive timely remediation.<br>• Contribute to identity and access management efforts by supporting multi-factor authentication, privileged access controls, and role-based permissions.<br>• Take part in incident response activities by assisting with investigation, containment, recovery, and follow-up documentation.<br>• Support audit readiness, compliance activities, and the creation or refinement of security policies and standards.<br>• Partner with infrastructure, cloud, and application teams to embed sound security practices into projects, system changes, and operational processes.<br>• Assess emerging security technologies and provide recommendations that improve the organization’s overall defensive capabilities.<br>• Create and maintain security procedures, playbooks, and technical documentation to support consistent operations and response efforts.<br>• Advise internal teams on security awareness, risk reduction, and practical approaches to protecting systems and information.
<p>Robert Half Technology is seeking <strong>experienced Senior Data Engineers</strong> to support a client in the insurance industry. These individuals will play a key role in designing, developing, and maintaining scalable data pipelines, integrating data across multiple systems, and supporting cloud-based data engineering initiatives.</p><p> </p><p>The ideal candidates will have strong hands-on experience with Microsoft SQL Server, Python, cloud technologies, and modern data engineering practices. This role requires individuals who can independently develop and optimize data solutions, manage complex data integrations, and support both inbound and outbound data flows.</p><p><strong> </strong></p><p><strong>Location:</strong> 100% Remote</p><p><strong>Duration:</strong> 6-month contract-to-hire</p><p><strong>Pay rate: </strong>$45-$55/hourly</p><p><strong> </strong></p><p><strong>Key Responsibilities</strong></p><ul><li>Design, develop, and maintain scalable data pipelines and data integration solutions to support business and operational needs.</li><li>Develop, optimize, and maintain SQL queries, stored procedures, and database processes within Microsoft SQL Server.</li><li>Build and manage ETL/ELT processes to extract, transform, and load data across multiple platforms and systems.</li><li>Utilize Python and Pandas for data transformation, processing, automation, and analysis.</li><li>Develop and maintain cloud-based data solutions using AWS services, including Lambda, Glue, and EC2, or comparable Azure technologies.</li><li>Design and support API integrations, event-driven architectures, and event bus technologies to facilitate inbound and outbound data exchanges.</li><li>Work with Snowflake and other data platforms to support data ingestion, transformation, and integration.</li><li>Implement and maintain CI/CD pipelines to support automated deployments and data engineering best practices.</li><li>Troubleshoot data pipeline issues, optimize performance, and ensure data accuracy, reliability, and consistency.</li><li>Collaborate with cross-functional teams, including software engineers, architects, analysts, and business stakeholders, to deliver scalable data solutions.</li><li>Support data governance, data quality, and integration best practices across enterprise systems.</li></ul>
<p>Security Engineering & Infrastructure</p><ul><li>Design, implement, and maintain security solutions across on-premises and cloud environments.</li><li>Manage firewalls, endpoint protection, IDS/IPS, and network security controls.</li><li>Implement identity and access management (IAM), MFA, PAM, and Zero Trust security.</li><li>Collaborate with IT teams to secure enterprise systems, networks, and applications.</li></ul><p>Threat Detection & Incident Response</p><ul><li>Monitor and investigate security threats using SIEM and EDR/XDR platforms.</li><li>Conduct threat hunting, incident investigations, and root cause analysis.</li><li>Develop incident response procedures and coordinate remediation efforts.</li></ul><p>Vulnerability Management & Risk</p><ul><li>Perform vulnerability assessments and security risk evaluations.</li><li>Identify, prioritize, and remediate security vulnerabilities.</li><li>Support patch management, system hardening, and threat mitigation.</li></ul><p>Cloud Security & Automation</p><ul><li>Implement security controls across AWS, Azure, or Google Cloud environments.</li><li>Automate security monitoring and remediation using Python, PowerShell, or similar tools.</li><li>Integrate security practices into DevOps and CI/CD processes.</li></ul><p>Governance & Compliance</p><ul><li>Support security policies, audits, and regulatory compliance initiatives.</li><li>Apply NIST, ISO 27001, and CIS security frameworks.</li><li>Maintain security documentation and support disaster recovery planning.</li></ul><p>Required Qualifications</p><ul><li>Bachelor's degree in Cybersecurity, IT, Computer Science, or equivalent experience.</li><li>3–5+ years of cybersecurity engineering or information security experience.</li><li>Strong knowledge of network security, firewalls, VPNs, and TCP/IP.</li><li>Experience with SIEM tools such as Splunk, Microsoft Sentinel, or QRadar.</li><li>Hands-on experience with endpoint security tools such as CrowdStrike, Defender, or SentinelOne.</li><li>Experience with vulnerability management, threat detection, and incident response.</li><li>Knowledge of Windows, Linux, Active Directory, IAM, and cloud security (AWS, Azure, or GCP).</li><li>Familiarity with security frameworks, risk management, and compliance standards.</li><li>Strong troubleshooting, analytical, and communication skills.</li></ul><p><br></p>
<p>We are seeking an experienced Cybersecurity & Infrastructure Engineer to support and strengthen an organization's cybersecurity strategy, enterprise infrastructure, and technology operations. This role combines enterprise security architecture, infrastructure engineering, cybersecurity governance, and endpoint management to ensure secure, reliable, scalable, and high-performing technology environments.</p><p>The individual will play a key role in protecting and optimizing systems across on-premises data centers, cloud platforms, enterprise networks, end-user computing, and critical business applications.</p><p>In addition to cybersecurity and infrastructure responsibilities, this position will oversee desktop support operations, endpoint lifecycle management, hardware provisioning, and new-hire technology onboarding. The ideal candidate brings a balance of hands-on technical expertise, strategic thinking, operational leadership, and strong security governance.</p><p>This role will collaborate with technology leadership, infrastructure teams, and business stakeholders to establish security standards, manage risk, enforce controls, and drive continuous improvement across the organization's technology environment.</p><p><br></p><p><strong>Key Responsibilities</strong></p><p><br></p><p><strong>Cybersecurity & Risk Management</strong></p><ul><li>Support the development and execution of cybersecurity strategies, policies, standards, and governance frameworks.</li><li>Oversee vulnerability management, threat detection, incident response, and disaster recovery planning.</li><li>Conduct security risk assessments and support compliance with applicable industry standards and regulatory requirements.</li><li>Implement and maintain security best practices across identity and access management, data protection, and network security.</li><li>Administer, maintain, and optimize cybersecurity tools, platforms, and technologies.</li><li>Support security awareness initiatives and promote a security-first culture.</li><li>Develop and contribute to cybersecurity roadmaps aligned with business priorities.</li></ul><p><strong>Infrastructure & Systems Engineering</strong></p><ul><li>Support the architecture, administration, optimization, and operations of on-premises, hybrid, and cloud infrastructure.</li><li>Manage and optimize enterprise systems, including servers, networks, cloud environments, Microsoft Azure, and Microsoft 365.</li><li>Participate in infrastructure troubleshooting, complex incident resolution, and continuous improvement initiatives.</li><li>Help ensure infrastructure environments remain secure, scalable, reliable, and highly available.</li></ul><p><strong>Endpoint & Desktop Management</strong></p><ul><li>Provide technical leadership and oversight of desktop support operations, serving as the Tier III escalation point for complex end-user technology issues.</li><li>Manage the organization's hardware and endpoint lifecycle, including deployment, maintenance, patching, encryption, and identity management.</li><li>Design and optimize automated desktop provisioning and configuration processes.</li><li>Oversee new-hire technology onboarding, including hardware imaging, user account creation, equipment provisioning, and role-based access control (RBAC).</li><li>Ensure endpoint management processes are efficient, secure, standardized, and compliant with organizational policies.</li></ul>
<p>We are seeking a highly skilled Big Data Engineer to design, build, and optimize scalable data platforms that support enterprise analytics, reporting, machine learning, and business intelligence initiatives. The ideal candidate will have experience developing large-scale data pipelines, managing cloud-based data ecosystems, and implementing high-performance data solutions that enable data-driven decision-making across the organization. Key Responsibilities Design, develop, and maintain large-scale data processing systems and data pipelines. Build and optimize ETL/ELT workflows for structured, semi-structured, and unstructured data sources. Develop scalable solutions using distributed computing frameworks such as Apache Spark, Hadoop, and Kafka. Collaborate with Data Scientists, Analysts, Architects, and business stakeholders to support analytical and operational requirements. Integrate data from multiple internal and external systems while ensuring data quality and integrity. Design and implement cloud-native data solutions within AWS, Azure, or Google Cloud environments. Monitor, troubleshoot, and improve the performance, reliability, and scalability of data platforms. Implement data governance, security, compliance, and access control standards. Support real-time and batch data processing requirements. Document architectures, workflows, and technical specifications to ensure operational excellence.</p>
<p><strong>Security Engineer</strong></p><p><br></p><p><strong>Overview</strong></p><p>A leading global professional services organization is seeking a Security Engineer with Third-Party Risk experience.</p><p><br></p><p>The Security Engineer plays a critical role in safeguarding the organization’s ecosystem by evaluating the security posture of external vendors and partners. This role focuses on conducting technical risk assessments across SaaS platforms, cloud environments, and hosted services while ensuring compliance with industry standards and client expectations. Based remotely, this position partners closely with IT security leadership and cross-functional stakeholders to mitigate risk and strengthen third-party security practices.</p><p><br></p><p><strong>Key Responsibilities</strong></p><ul><li>Conduct technical security assessments of third-party vendors across SaaS platforms, cloud infrastructure, and hosted services</li><li>Evaluate vendor security controls, including access management, encryption, and data protection practices</li><li>Review vendor documentation such as SOC 2 reports, ISO certifications, and security testing results</li><li>Assess cloud environments (AWS, Azure, GCP) for security configurations, segmentation, and identity controls</li><li>Analyze API security, including authentication methods, data transmission, and vulnerability risks</li><li>Evaluate DevSecOps maturity, including secure development practices and CI/CD pipeline security</li><li>Track and manage vendor risk findings, ensuring remediation efforts are completed in a timely manner</li><li>Support client-facing security activities, including questionnaires, audits, and compliance reviews</li><li>Collaborate with internal stakeholders to align vendor security with regulatory requirements (e.g., GDPR, CCPA)</li><li>Prepare risk reports and present key findings to leadership and cross-functional teams</li></ul><p><strong>Additional Details</strong></p><ul><li>Remote (must reside in proximity to a supported office region)</li><li>Core hours: 8:00 AM – 4:00 PM PT (7-hour workday)</li><li>Occasional travel may be required for vendor assessments</li><li>Collaborative environment with direct exposure to senior leadership and security stakeholders</li></ul>
<p><strong>Systems Engineer</strong></p><p><br></p><p><strong>Overview</strong></p><p>An organization is seeking a Systems Engineer to support enterprise cloud technologies, business applications, automation initiatives, and IT infrastructure operations. This individual will help improve system reliability, streamline operational processes, and support ongoing technology modernization efforts across the organization.</p><p><br></p><p><strong>Responsibilities</strong></p><ul><li>Administer and support enterprise cloud and collaboration platforms</li><li>Develop and maintain automation solutions to improve operational efficiency</li><li>Support identity and access management initiatives</li><li>Manage endpoint technologies and related platform services</li><li>Assist with system integrations and application support efforts</li><li>Monitor platform performance, availability, and operational health</li><li>Troubleshoot infrastructure, cloud, and application-related issues</li><li>Create and maintain technical documentation and operational procedures</li><li>Collaborate with technical teams and business stakeholders on technology initiatives</li><li>Identify opportunities for process improvement, automation, and operational excellence</li></ul>
<p>Robert Half is recruiting for an experienced Systems Engineer (Infrastructure) to join a collaborative IT team supporting a large enterprise server environment. This role is ideal for someone who enjoys working across virtualization, Windows infrastructure, automation, and data center technologies while helping drive modernization initiatives.</p><p><br></p><p>You'll play a key role in maintaining and improving critical infrastructure systems, supporting ongoing projects, and helping ensure a highly available and reliable environment.</p><p><br></p><p><strong>What You'll Do</strong></p><ul><li>Manage and support enterprise server infrastructure across multiple data centers.</li><li>Build, configure, and maintain physical and virtual servers.</li><li>Administer Windows Server environments and core infrastructure services.</li><li>Support virtualization platforms including Nutanix and VMware.</li><li>Monitor system performance and troubleshoot complex infrastructure issues.</li><li>Develop and improve PowerShell automation and operational processes.</li><li>Partner with Security, Network, and other IT teams on infrastructure initiatives.</li><li>Participate in infrastructure modernization and cloud adoption projects.</li><li>Support business continuity, disaster recovery, patching, and system reliability efforts.</li><li>Create and maintain technical documentation and operational standards.</li><li>Serve as an escalation point for advanced infrastructure issues.</li></ul><p><br></p>
We are seeking a highly skilled Big Data Engineer to design, build, and optimize scalable data platforms that support enterprise analytics, reporting, machine learning, and business intelligence initiatives. The ideal candidate will have experience developing large-scale data pipelines, managing cloud-based data ecosystems, and implementing high-performance data solutions that enable data-driven decision-making across the organization. Key Responsibilities Design, develop, and maintain large-scale data processing systems and data pipelines. Build and optimize ETL/ELT workflows for structured, semi-structured, and unstructured data sources. Develop scalable solutions using distributed computing frameworks such as Apache Spark, Hadoop, and Kafka. Collaborate with Data Scientists, Analysts, Architects, and business stakeholders to support analytical and operational requirements. Integrate data from multiple internal and external systems while ensuring data quality and integrity. Design and implement cloud-native data solutions within AWS, Azure, or Google Cloud environments. Monitor, troubleshoot, and improve the performance, reliability, and scalability of data platforms. Implement data governance, security, compliance, and access control standards. Support real-time and batch data processing requirements. Document architectures, workflows, and technical specifications to ensure operational excellence.
We are looking for an experienced AI Development specialist to contribute to healthcare-focused software initiatives in Wisconsin. This long-term contract opportunity is ideal for an experienced engineer who can lead technical work independently, from solution design through production deployment, while building reliable systems for regulated environments. The role blends modern AI capabilities with backend and API engineering, with a strong emphasis on secure cloud delivery and healthcare data interoperability.<br><br>Responsibilities:<br>• Design, develop, and launch production-grade applications and services that support healthcare technology use cases.<br>• Build and maintain secure cloud-based solutions using AWS, with attention to infrastructure reliability, access controls, and compliance expectations.<br>• Create and evolve external-facing APIs that enable third-party integrations and dependable data exchange.<br>• Work with healthcare interoperability standards such as HL7 and EDI to support clinical and operational data workflows.<br>• Apply strong ownership across the full software lifecycle, including architecture decisions, implementation, testing, deployment, and operational support.<br>• Develop AI-enabled features and integrations using tools such as Claude and OpenAI where they add measurable value to product capabilities.<br>• Implement infrastructure as code practices with tools such as AWS CDK or Terraform to standardize and automate deployment processes.<br>• Collaborate on backend and web application development using modern TypeScript-based frameworks and data platforms.<br>• Support regulated data handling practices in HIPAA-governed environments, including secure storage, encryption, and audit-minded engineering.<br>• Contribute to ongoing evaluation and implementation of database and platform enhancements, including audit, vector, and replication-related capabilities when needed.
<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>
<p>Lead Data Engineer</p><p>Salary: Up to $160,000 Location:</p><p>On-Site | South Los Angeles Area</p><p>Employment Type: Full-Time</p><p><br></p><p>Build the Foundation for Enterprise Analytics</p><p><br></p><p>We are seeking a Lead Data Engineer to drive the architecture, modernization, and expansion of a growing enterprise data platform built within the Microsoft Azure ecosystem. This is a highly visible technical leadership role where you'll help shape the future of data across multiple business functions by building scalable, secure, and high-performing data solutions.</p><p><br></p><p>If you're passionate about Databricks, cloud data platforms, and mentoring engineering teams while remaining hands-on with development, this is an opportunity to make a significant impact.</p><p><br></p><p>What You'll Do</p><ul><li>Lead the design, implementation, and optimization of an enterprise Azure Databricks Lakehouse environment utilizing Bronze, Silver, and Gold data layers.</li><li>Architect and execute migrations from SQL Server and legacy platforms into modern cloud-native data solutions.</li><li>Develop and optimize large-scale ETL/ELT pipelines supporting operational reporting, business intelligence, advanced analytics, and data science initiatives.</li><li>Integrate data from multiple enterprise systems, APIs, operational platforms, and third-party sources.</li><li>Establish best practices for data engineering, data modeling, testing, CI/CD, monitoring, governance, and production support.</li><li>Implement and maintain data governance frameworks, security controls, lineage tracking, and access management.</li><li>Lead code reviews, technical design discussions, and engineering standards across the data team.</li><li>Mentor and support data engineers while fostering a culture of technical excellence.</li><li>Partner closely with business stakeholders, analysts, and data scientists to deliver trusted, scalable data products.</li></ul><p>For immediate consideration, apply now and direct message Reid Gormly on LINKEDIN</p>
<p>Robert Half is partnering with a non-profit healthcare technology organization that supports thousands of healthcare providers, payers, and public-sector partners through secure health information exchange, identity management, and interoperability solutions. We are seeking a Senior .NET Software Engineer with strong Microsoft technology expertise to design, build, and maintain scalable applications and integrations in Azure. The ideal candidate will have experience developing modern APIs, cloud services, and enterprise applications using C# and .NET while collaborating on solutions that handle sensitive healthcare and identity data.</p><p><br></p><p><strong>Location:</strong> 100% remote</p><p><strong>Duration:</strong> 10 months</p><p><strong>Schedule:</strong> Monday-Friday; 9am-3pm PDT</p><p><br></p><p><strong>Responsibilities</strong></p><ul><li>Design, build, and maintain Azure Durable Functions that process clinical documents, eligibility transactions, and healthcare data workflows.</li><li>Develop and enhance ASP.NET Core APIs, Blazor applications, and administrative tools that support identity, single sign-on, dashboards, and operational services.</li><li>Build integrations with healthcare partners, state agencies, and payers using REST APIs, SFTP, event streams, and other secure communication methods.</li><li>Implement healthcare interoperability and identity standards while maintaining compatibility with external partner systems.</li><li>Write automated unit, integration, and end-to-end tests to ensure solution quality and reliability.</li><li>Build, maintain, and improve Azure DevOps CI/CD pipelines.</li><li>Monitor and troubleshoot production systems using Application Insights, Azure Monitor, OpenTelemetry, and distributed tracing tools.</li><li>Apply security best practices to protect sensitive healthcare and identity data through encryption, Key Vault, audit logging, and least-privilege access controls.</li><li>Participate in code reviews, architecture discussions, technical documentation, and continuous improvement initiatives.</li><li>Support the modernization and migration of legacy .NET Framework and Web Forms applications to modern .NET platforms.</li></ul>
<p>Robert Half is seeking a <strong>Systems Engineer II</strong> to support enterprise endpoint engineering in a regulated financial services environment. This role will be responsible for designing, implementing, maintaining, and securing Windows, macOS, and iOS endpoints across on-premises, cloud-managed, and remote environments.</p><p><strong>Key Responsibilities:</strong></p><ul><li>Administer and optimize <strong>Tanium</strong> as the primary endpoint management and patching platform, including Patch, Deploy, Comply, Asset, and Interact modules</li><li>Lead enterprise patching strategy for <strong>Windows, macOS, and third-party applications</strong>, including monthly patch cycles, out-of-band releases, zero-day remediation, and feature updates</li><li>Coordinate patch testing, pilot groups, phased deployments, validation, compliance monitoring, and rollback procedures</li><li>Package, test, and deploy applications across <strong>Windows, macOS, and iOS</strong> using <strong>Tanium Deploy</strong> and <strong>Microsoft Intune</strong></li><li>Manage endpoint provisioning and enrollment for <strong>Windows Autopilot</strong>, <strong>Apple Business Manager</strong>, and <strong>Intune</strong></li><li>Own <strong>Group Policy</strong> and <strong>Intune policy administration</strong>, including configuration profiles, compliance policies, security baselines, endpoint protection, update rings, and conditional access</li><li>Develop and maintain automation for provisioning, software deployment, patch orchestration, endpoint health checks, and reporting using <strong>PowerShell, Python, and Bash</strong></li></ul><p><br></p>
<p>We are looking for a senior Data Engineer. This position combines architectural leadership with hands-on development across a modern cloud data ecosystem, with a strong focus on building dependable, scalable, and efficient data solutions. The role will help shape engineering standards, strengthen platform governance, and support high-quality data delivery for enterprise analytics and emerging AI-driven use cases.</p><p><br></p><p>Responsibilities:</p><p>• Provide technical direction to engineering teams and guide the successful execution of complex data platform initiatives.</p><p>• Create and enhance robust data pipelines and reusable data products that support scalable analytics and reporting needs.</p><p>• Develop and refine cloud-based data solutions using Snowflake, dbt, Fivetran, and Azure services.</p><p>• Build automation-first, metadata-driven processing frameworks to improve consistency, maintainability, and operational efficiency.</p><p>• Design curated data structures using established modeling approaches such as Data Vault, Kimball, and dimensional modeling.</p><p>• Improve platform performance through tuning, cost management, and scalability planning across data workloads.</p><p>• Establish and reinforce best practices for data quality, governance, lineage tracking, observability, and CI/CD delivery.</p><p>• Support Azure-based integration, storage, compute, and DevOps capabilities required for reliable end-to-end data operations.</p><p>• Enable data foundations that can support advanced analytics, AI/ML initiatives, and modern analytical architectures.</p>
<p><strong>Robert Half</strong> is actively partnering with an Austin-based client to identify a <strong>Site Reliability Engineer (contract).</strong> In this role, you are responsible for the reliability, scalability, and operational excellence of enterprise workflow orchestration and automation platforms. <strong>This role is onsite in Austin, Tx. </strong></p><p><br></p><p><strong>Key Responsibilities:</strong></p><p>Operations & Reliability (Approximately 50%)</p><ul><li>Act as a primary escalation point for workflow orchestration and enterprise scheduling platforms, supporting incident response, root cause analysis, and long-term resolution efforts.</li><li>Establish, manage, and continuously improve Service Level Indicators (SLIs), Service Level Objectives (SLOs), and error budget frameworks.</li><li>Monitor platform performance, health, and capacity while proactively identifying potential issues before they impact business operations.</li><li>Partner with application, data, and engineering teams to troubleshoot workflow failures, dependency issues, and scheduling challenges.</li><li>Perform platform maintenance activities, including upgrades, patching, and configuration management.</li><li>Collaborate with security teams to strengthen platform security, address vulnerabilities, and maintain compliance standards.</li><li>Participate in on-call rotations and maintain operational documentation, runbooks, and escalation procedures.</li></ul><p>Platform Engineering (Approximately 50%)</p><ul><li>Design and implement tooling, automation, and self-service capabilities that improve platform usability and reduce operational effort.</li><li>Lead or contribute to modernization initiatives, including workload migrations, deployment automation, infrastructure optimization, and adoption of cloud-native services.</li><li>Develop and maintain Infrastructure-as-Code (IaC) solutions using tools such as Terraform, Helm, Ansible, or similar technologies.</li><li>Create and enhance observability capabilities through dashboards, alerting, logging, and monitoring solutions.</li><li>Establish platform standards, governance models, and best practices to support adoption across engineering teams.</li><li>Participate in architectural reviews and contribute to the long-term platform strategy and roadmap.</li><li>Promote automation-first practices that improve reliability, consistency, and operational efficiency.</li></ul><p><br></p>
<p><strong>Location:</strong> Burbank, CA (Hybrid - 4 Days Onsite)</p><p><strong>Employment Type:</strong> Contract, potential FTE conversion</p><p><strong>Experience:</strong> 8+ Years</p><p><strong>Education:</strong> Bachelor's Degree Required</p><p><br></p><p>About the Opportunity</p><p>We are seeking a <strong>Staff Lead Software Engineer</strong> to help build the next generation of intelligent infrastructure supporting a modern Digital Supply Chain environment. This role is ideal for an experienced engineer who thrives at the intersection of backend engineering, distributed systems, workflow automation, and Generative AI.</p><p>You will play a critical role in designing and delivering agentic platforms that power complex business workflows including content mastering, localization, delivery, and media operations. Working closely with product, platform, and AI teams, you will transform emerging AI capabilities into scalable, production-ready solutions that create measurable business impact.</p><p>This is a hands-on leadership position where you will influence architecture, mentor engineers, and contribute directly to software development.</p><p><br></p><p>What You'll Do</p><p>Build Production-Grade AI Platforms</p><ul><li>Transform AI prototypes into scalable, enterprise-ready services.</li><li>Design and develop backend microservices using Java, Kotlin, Python, or TypeScript.</li><li>Deploy and manage services within Kubernetes environments using modern CI/CD practices.</li><li>Build resilient, event-driven architectures leveraging Kafka, SNS/SQS, EventBridge, or similar technologies.</li><li>Develop highly reliable APIs focused on performance, observability, and maintainability.</li></ul><p>Design Agentic Systems & AI Middleware</p><ul><li>Build middleware, API gateways, and service layers that securely expose enterprise applications and data to AI agents.</li><li>Create standardized interfaces enabling AI agents to interact with internal systems across the digital supply chain.</li><li>Implement Model Context Protocol (MCP) and related frameworks to manage secure access to tools, metadata, and content repositories.</li><li>Design intelligent orchestration layers that enable autonomous and semi-autonomous workflows.</li></ul><p>Lead AI Workflow Innovation</p><ul><li>Develop agentic workflows using technologies such as LangGraph, LangChain, and modern orchestration frameworks.</li><li>Implement routing, tool execution, context management, and decision-making capabilities for AI-powered solutions.</li><li>Establish governance controls, audit logging, approval workflows, and fallback mechanisms to support enterprise-grade AI implementations.</li><li>Integrate AI orchestration into business-critical workflows, including mastering, localization, and content delivery operations.</li></ul><p>Provide Technical Leadership</p><ul><li>Lead architecture discussions, technical planning sessions, and design reviews.</li><li>Partner with product managers, machine learning engineers, architects, and platform teams to deliver innovative solutions.</li><li>Mentor engineers and contribute to engineering excellence across the organization.</li><li>Evaluate and adopt emerging technologies in AI, distributed systems, cloud infrastructure, and software engineering.</li></ul>
<p>We are looking for an experienced Server and Storage Engineer to support and enhance enterprise infrastructure operations for our Minneapolis client. This position focuses on maintaining reliable server, storage, virtualization, and backup environments while strengthening performance visibility across critical systems. The ideal candidate brings deep technical expertise, a proactive approach to problem-solving, and the ability to help modernize infrastructure with cloud-aligned technologies.</p><p><br></p><p>Responsibilities:</p><p>• Manage and optimize enterprise server and storage platforms to ensure high availability, resilience, and consistent performance across the environment.</p><p>• Administer NetApp storage solutions and VMware infrastructure, including configuration, capacity planning, maintenance, and operational support.</p><p>• Oversee backup and recovery processes for business-critical systems, validating data protection strategies and recovery readiness.</p><p>• Use monitoring and observability platforms such as Dynatrace, Datadog, or New Relic to identify issues, analyze trends, and improve system health.</p><p>• Support core Microsoft infrastructure, including Windows Server, Active Directory, Azure Active Directory, and Exchange services.</p><p>• Maintain and improve virtualized environments and related infrastructure components to meet security, performance, and scalability requirements.</p><p>• Collaborate with cross-functional technology teams on infrastructure improvements, cloud-related initiatives, and long-term platform strategy.</p><p>• Troubleshoot complex server, storage, and connectivity issues, driving timely resolution and minimizing operational disruption.</p>
<p><strong>Python 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 Python 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.</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>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>Our client is seeking an experienced <strong>Senior Technical Recruiter</strong> for a 6-month contract engagement. </p><p><br></p><p>This individual will focus primarily on recruiting highly skilled technical talent, including <strong>Principal Software Engineers</strong>, while supporting additional technical hiring needs across the organization. </p><p><br></p><p>The ideal candidate will have experience recruiting within fast-paced technology environments, with <strong>SaaS industry experience strongly preferred</strong>.</p><p><br></p><p>Responsibilities</p><p><br></p><p>Manage full-cycle recruitment for technical positions, with a focus on Principal Software Engineers and other senior-level technical professionals.</p><p><br></p><p>Partner closely with hiring managers to understand hiring needs, technical requirements, and recruitment strategies.</p><p><br></p><p>Source, screen, and assess top technical talent through multiple channels.</p><p><br></p><p>Build and maintain strong talent pipelines for current and future hiring initiatives.</p><p><br></p><p>Coordinate interviews, gather feedback, and manage candidates through the hiring process.</p><p><br></p><p>Provide market intelligence and hiring insights to support recruiting decisions.</p><p><br></p><p>Ensure a positive candidate experience throughout the recruitment lifecycle.</p><p><br></p><p>Support multiple technical requisitions while maintaining quality and efficiency.</p><p><br></p>