<p>We are looking for a Sr. Systems Engineer to support and enhance a Microsoft-focused cloud environment in Martinez, California. This Long-term Systems Engineer Contract position will play a key role in strengthening Microsoft 365 services, device management, identity administration, and cloud-based automation across the organization. The ideal Systems Engineer candidate brings strong technical depth across Azure, Intune, Entra ID, and the Power Platform, along with the ability to resolve complex issues and guide broader IT efforts. This Systems Engineer role is an onsite role out of Martinez, Ca.</p><p><br></p><p>Responsibilities:</p><p>• Oversee the performance, security, and day-to-day administration of Microsoft 365 applications, including Exchange Online, SharePoint Online, Teams, and OneDrive.</p><p>• Create and refine Intune configurations for endpoint management, compliance enforcement, and software deployment across supported devices.</p><p>• Administer identity and access controls within Entra ID, including authentication methods, privileged access workflows, conditional access, and hybrid identity support.</p><p>• Support the design, maintenance, and troubleshooting of Azure-based services that underpin the organization's cloud infrastructure.</p><p>• Develop business-focused solutions using Power Apps, Power Automate, and Power BI to improve reporting and streamline operational processes.</p><p>• Investigate high-severity incidents, perform root-cause analysis, and implement durable fixes across Microsoft 365 and Azure platforms.</p><p>• Build and maintain automation using PowerShell and Microsoft Graph integrations to reduce manual administrative effort and improve consistency.</p><p>• Produce and update technical documentation covering architecture, configurations, operational procedures, and support standards.</p><p>• Assess emerging Microsoft capabilities and licensing updates, then provide recommendations on adoption, governance, and practical use.</p><p>• Provide technical mentorship to less experienced team members and collaborate with security, compliance, and IT partners on audits, controls, and risk reduction.</p>
<p>Robert Half is seeking a <strong>Software Engineer III (Platform Engineering) </strong>to support the infrastructure, platforms, and services that power our applications and data processing environments. This role is ideal for someone who enjoys building cloud infrastructure, automating processes, improving platform reliability, and troubleshooting production issues in a fast-paced environment.</p><p><br></p><p><strong>What You'll Do</strong></p><p>Spend approximately 70% of your time building and deploying infrastructure and platform enhancements, with 30% focused on operational support and troubleshooting.</p><p>Design, build, and maintain scalable, secure, and reliable cloud-based infrastructure supporting applications, ETL/ELT processes, and platform services.</p><p>Develop and maintain infrastructure automation, monitoring solutions, CI/CD pipelines, and operational tooling.</p><p>Build and manage AWS resources, including EC2 instances and related cloud services.</p><p>Support platform services in production environments, troubleshoot outages, and drive root-cause analysis and resolution efforts.</p><p>Manage critical incidents, including coordinating with external vendors such as Microsoft to resolve high-priority production issues.</p><p>Implement Infrastructure-as-Code (IaC) solutions and improve platform reliability, scalability, and performance.</p><p>Collaborate with development, security, and operations teams to support application delivery and platform stability.</p><p>Conduct code reviews, mentor junior engineers, and promote engineering best practices.</p><p>Participate in an on-call rotation (approximately every three weeks).</p>
<p>Robert Half is seeking a Software Engineer II – AI Engineer who will analyze, design, program, debug, test, implement, deploy, and support software enhancements and new applications using Generative AI technologies. This role contributes to the development and production deployment of GenAI-enabled applications, including LLM-powered workflows, RAG pipelines, and AI-driven user experiences. </p><p> </p><p>This role supports SDLC documentation across all phases, with a focus on deployment, evaluation, observability, safety, and monitoring. It also interacts with users to define requirements and support applications in production. </p><p><strong>What You’ll Do</strong> </p><ul><li>Develop and modify application modules, including GenAI components. </li><li>Build prompt workflows, retrieval layers, APIs, and cloud services. </li><li>Troubleshoot production issues, including latency, hallucinations, and errors. </li><li>Provide Level II production support for deployed systems. </li><li>Design components, including LLM integrations and RAG pipelines. </li><li>Implement CI/CD pipelines, containerization, and release processes. </li><li>Develop RAG pipelines with embeddings, chunking, and vector search. </li><li>Apply prompt engineering techniques, including few-shot prompting and structured outputs. </li><li>Evaluate models for accuracy, relevance, and hallucination risk. </li><li>Implement safety guardrails, including PII protection and prompt-injection defense. </li><li>Execute testing, including unit, integration, and GenAI evaluation testing. </li><li>Monitor production systems for latency, cost, usage, and errors. </li><li>Support incident management with fallback and recovery strategies. </li></ul><p><br></p>
<p>Our client is at the forefront of transforming how teams work through secure, enterprise-grade generative AI applications. They are developing and enhancing an advanced AI-powered assistant for internal use — enabling employees to harness AI safely within a protected environment. </p><p><br></p><p> The Full Stack Software Engineer III will help design, develop, and evolve the next-generation AI platform, driving innovation while ensuring scalability, security, and exceptional user experience. This role spans the full stack — from back-end integration to front-end interfaces — in close collaboration with product, design, and AI engineering teams. </p><p><br></p><p> What You’ll Do Design, develop, and enhance AI-enabled enterprise applications that boost productivity and collaboration. Build and optimize features using large language models, prompt engineering, and AI-assisted workflows. Write efficient, maintainable, and scalable code across database, middleware, and front-end layers. Develop low- to medium-complexity systems and components within larger architectures. Conduct code reviews; mentor and guide Level I and II engineers. Act as module-level design authority, ensuring adherence to architecture and security standards. Plan and execute unit testing; review and validate test plans from entry level engineers. Define and implement integration and performance testing strategies. Troubleshoot and resolve complex production issues; establish frameworks for reliability and observability. Provide advanced production support and drive continuous improvement in performance and user experience. Collaborate with AI engineers, data scientists, and product owners to deliver innovative solutions. Perform additional related duties as assigned.</p>
Robert Half and Protiviti operate one of the most advanced Salesforce ecosystems in professional services. We don't simply administer Salesforce—we leverage it as a core component of a hybrid cloud architecture connecting Sales Cloud, Azure, and enterprise platforms at scale. We are seeking a Salesforce Technical Architect to own the platform end-to-end and lead a distributed team of 10+ engineers across the U.S. and India. This is a hands-on architecture leadership role responsible for technical strategy, engineering standards, and key platform decisions. You will also lead major initiatives including Salesforce Data 360 (CDP), Agentforce expansion, and AI-enabled data and automation capabilities. What You'll Do Architecture & Platform Leadership Define when to leverage native Salesforce capabilities versus Azure-based Node.js or Python services. Design and oversee scalable integrations between Salesforce and internal or third-party systems using event-driven and near real-time architectures. Lead the implementation and evolution of Salesforce Data 360, Agentforce, and AI-powered data pipelines. Develop secure, scalable architectural patterns that support growth while maintaining governance and platform integrity. Proactively manage platform health using Salesforce Health Check and Optimizer. Engineering Governance & Quality Serve as the final authority for architecture reviews and technical design decisions. Establish engineering standards for a global development organization. Embed security, testing, and compliance throughout the SDLC. Implement automated quality gates including code reviews, testing, and security scanning. Enable teams to move quickly through strong frameworks, tooling, and automation. CI/CD & Automation Advance Python-driven CI/CD pipelines and support reliable deployments. Automate key SDLC processes including testing, security review, and release management. Drive a culture of continuous delivery and engineering excellence. Team Leadership & Delivery Mentor and lead senior and entry level engineers across multiple locations. Guide development of scalable Salesforce solutions using Apex, LWC, Flows, and platform capabilities. Design and support APIs, integrations, and automation solutions using Azure, Node.js, Python, and cloud-native services. Build and manage enterprise data pipelines supporting Salesforce and Data 360. Define integration standards and data contracts across enterprise platforms. Lead expansion of Agentforce capabilities and AI-powered employee experiences. Drive adoption of Einstein Copilot, predictive analytics, and generative AI within marketing and sales workflows. Partner with product, business, and data teams to deliver scalable solutions and technical direction.
<p>Robert Half is seeking an experienced <strong>DevOps Engineer III</strong> to design, build, automate, support, and continuously improve enterprise application environments supporting PeopleSoft, MuleSoft, MOVEit, and other HRFS platforms.</p><p>This role requires expertise in AWS cloud services, infrastructure automation, DevOps practices, disaster recovery, and enterprise application support. The DevOps Engineer III will serve as a technical leader responsible for platform reliability, security, automation, operational excellence, and disaster recovery readiness across critical business systems.</p><p>Experience supporting managed file transfer platforms, enterprise integrations, and highly available cloud environments is highly preferred.</p><p><strong>What You'll Do</strong></p><p><strong>Environment Operations & Support</strong></p><p>Support and maintain production and non-production application environments.</p><p>Provide PeopleSoft administration and infrastructure support, including environment refreshes, migrations, updates, security maintenance, and Integration Broker troubleshooting.</p><p>Monitor system availability, performance, capacity, and operational health.</p><p>Troubleshoot complex application and infrastructure issues and implement corrective actions.</p><p>Support releases, maintenance activities, patch management, upgrades, and outage remediation.</p><p>Participate in a 24x7 on-call rotation for critical business systems.</p><p>Review and address security vulnerabilities in partnership with internal teams and vendors.</p><p>Ensure high availability, disaster recovery readiness, backup validation, and operational resiliency.</p><p>Maintain architecture, operational, configuration, and disaster recovery documentation.</p><p>Support software compliance and audit activities.</p><p><strong>Automation & Platform Engineering</strong></p><p>Design, build, configure, and deploy application and infrastructure environments.</p><p>Develop Infrastructure-as-Code (IaC) solutions and automation frameworks.</p><p>Create and maintain automation scripts for provisioning, deployments, monitoring, and operational processes.</p><p>Support CI/CD pipelines and drive continuous improvement through automation and standardization.</p><p><strong>Architecture & Solution Design</strong></p><p>Design secure, scalable, highly available cloud and infrastructure solutions.</p><p>Develop disaster recovery strategies with defined RPO/RTO objectives.</p><p>Evaluate emerging technologies, conduct proof-of-concept activities, and recommend solutions.</p><p>Design integrations between enterprise applications and infrastructure platforms.</p><p>Provide capacity planning, scalability recommendations, and technical design reviews.</p><p><strong>Technical Leadership</strong></p><p>Provide mentorship and technical guidance to DevOps and support engineers.</p><p>Lead discussions related to cloud architecture, automation, operational strategy, and platform reliability.</p><p>Participate in technology evaluations, vendor selection, and roadmap planning.</p><p>Promote DevOps, security, cloud, and operational best practices.</p><p>Collaborate with application, infrastructure, security, and business teams to deliver </p>
<p>obert Half is seeking a Software Engineer II – AI Engineer to analyze, design, program, debug, test, implement, and support the privacy, security, and governance controls that protect generative AI technologies. This role safeguards GenAI-enabled applications, including LLM-powered workflows, RAG pipelines, plugins, skills, and autonomous agents, by embedding data protection, security guardrails, and responsible AI governance across the development lifecycle. </p><p> </p><p>This role supports SDLC documentation across all phases, with a focus on data privacy, security guardrails, governance, compliance, and risk management. It also works with users to define requirements and support applications in production. </p><p><strong>What You’ll Do</strong> </p><ul><li>Design and implement data privacy controls, including PII/PHI detection, redaction, and data minimization. </li><li>Build security guardrails, including prompt-injection defense, jailbreak prevention, and output filtering. </li><li>Establish governance for plugins, skills, and agents, including registration, approval, and lifecycle management. </li><li>Review and vet third-party plugins, skills, and agent tools for security, privacy, and compliance risks. </li><li>Define and enforce access controls, authentication, and least-privilege permissions for AI components. </li><li>Implement guardrails for autonomous agents, including action scoping, tool-use restrictions, and human-in-the-loop approval. </li><li>Apply data classification, retention, and residency policies across GenAI data flows. </li><li>Monitor AI systems for policy violations, data leakage, and anomalous plugin, skill, or agent behavior. </li><li>Maintain audit trails and logging for plugin, skill, and agent activity. </li><li>Support compliance with regulations and frameworks, including GDPR, CCPA, and the EU AI Act. </li><li>Provide Level II production support for security, privacy, and governance incidents. </li><li>Support incident response, including containment, escalation, and remediation. </li></ul>
<p>Robert Half, one of FORTUNE’s World’s Most Admired Companies and a Fortune 100 Best Companies to Work For is hiring for a Data Engineer III to join the ATI Data Science Innovation department.</p><p><br></p><p>Solution Design & Technical Leadership</p><ul><li>Lead architecture and design of complex data pipelines on Databricks lakehouse architecture (Unity Catalog, Delta Lake, Structured Streaming)</li><li>Define technical approach for data engineering initiatives, mentor less-senior engineers, and set standards for code quality through leadership and code reviews</li><li>Design and build data foundations that enable AI/ML capabilities — feature stores, embedding pipelines, vector search indexes, and model training datasets</li><li>Align data engineering solutions with business strategy, including support for Agentic AI workloads</li></ul><p>Data Infrastructure & Platform</p><ul><li>Own health, scalability, and modernization of data infrastructure with Databricks as the strategic platform — including workload migration, compute optimization, and Unity Catalog adoption</li><li>Optimize pipeline performance (Delta Lake table layouts, clustering, Z-ordering) and establish monitoring/alerting best practices with clear SLAs</li><li>Build data infrastructure supporting Agentic AI systems — real-time data access layers, context retrieval pipelines, and agent-accessible data services</li><li>Collaborate cross-functionally with DevOps, Platform Engineering, and MLOps roles to integrate data solutions into the broader technology environment and shared AI infratstructure – Mlflow registries, feature stores, and agent orchestration layers</li><li>Provide consultation to Senior Leadership on complex projects and drive continuous improvement initiatives</li></ul><p>Data Quality, Governance & Collaboration</p><ul><li>Champion data governance at all layers for data, models, and AI assets</li><li>Implement data quality strategies (master data management, validation rules, Delta Live Tables expectations) to ensure trust in enterprise data</li><li>Serve as liaison across data engineering, AI engineering, and business teams; promote data literacy and stewardship</li></ul><p><br></p>