<p>We are looking for a Senior or Staff DevOps Engineer to strengthen our engineering organization in San Francisco, California. In this role, you will improve the foundation that supports application delivery, platform reliability, and developer productivity across cloud-based systems. You will work closely with engineering partners to create scalable infrastructure, streamline release processes, and build dependable operational practices that support continued growth.</p><p><br></p><p>Responsibilities:</p><p>• Architect and maintain cloud infrastructure using infrastructure-as-code practices that promote consistency, scalability, and operational simplicity.</p><p>• Create and refine automated delivery pipelines to support dependable, efficient releases across multiple services and environments.</p><p>• Establish repeatable deployment approaches for serverless applications, container-based platforms, and orchestrated workflows.</p><p>• Build internal automation and developer tools that reduce manual effort and help backend and machine learning teams work more efficiently.</p><p>• Enhance development, testing, and staging environments to improve workflow speed and reduce friction during software delivery.</p><p>• Define strong monitoring and observability practices across logs, metrics, and tracing to improve system visibility and troubleshooting.</p><p>• Investigate reliability, latency, and performance issues in distributed environments and partner with engineers to implement lasting improvements.</p><p>• Strengthen operational readiness by supporting incident response, contributing to post-incident reviews, and turning findings into better tooling and processes.</p><p>• Integrate security and compliance controls into infrastructure and deployment workflows, including access management, patching, and vulnerability remediation.</p>
<p>We are looking for a Content Specialist to support large-scale content conversion and migration initiatives. This is a high-volume, execution-focused role that requires exceptional organization, accuracy, and consistency. This Long-term Contract position will work across member-facing help content and internal knowledge resources, applying established content standards, style guidelines, and formatting requirements while helping improve content accessibility and usability. </p><p><br></p><p>Responsibilities:</p><ul><li>Convert process workflows from a decision-tree format into clear, structured wiki documentation while maintaining logical accuracy.</li><li>Review and quality-check content migrated into a new CMS, validating formatting, metadata, links, and overall content integrity.</li><li>Perform manual content migration when needed, ensuring accuracy and consistency.</li><li>Organize content within libraries and folders to improve discoverability, governance, and reuse.</li><li>Develop reusable content components, templates, and modules to streamline future content updates.</li><li>Apply established style, voice, and formatting standards consistently across all content.</li><li>Utilize AI and generative tools to support content conversion and QA activities, while maintaining ownership of final quality.</li><li>Collaborate with content strategists and cross-functional stakeholders to resolve questions regarding content accuracy, structure, and scope.</li><li>Exercise sound judgment when handling complex or non-standard content and provide recommendations for future content management approaches.</li><li>Track project milestones, monitor progress, and proactively identify risks or blockers.</li></ul>
<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>
<p>We are looking for a Contract Data Engineer to support financial systems and data operations in San Francisco, California. This is a remote on-going contract. This role will work across Finance, Systems, and Engineering to improve data reliability, strengthen integrations, and enhance platforms that support billing, accounts payable, and quote-to-cash workflows. The ideal candidate brings deep technical expertise with NetSuite and Snowflake, along with strong coding skills to diagnose issues, streamline processes, and build scalable solutions in a complex systems environment.</p><p><br></p><p>Responsibilities:</p><p>• Build, monitor, and refine data pipelines that move financial and transactional information across internal platforms and enterprise systems.</p><p>• Investigate data issues, resolve integration failures, and improve the overall accuracy and consistency of business-critical datasets.</p><p>• Develop and maintain middleware solutions that connect NetSuite, Salesforce, Snowflake, and custom applications.</p><p>• Partner with Finance, Systems, and Engineering stakeholders to deliver technical enhancements that support accounting operations and downstream reporting.</p><p>• Implement improvements within NetSuite and related financial systems to better support billing, accounts payable, and quote-to-cash processes.</p><p>• Troubleshoot code and system behaviors using SQL, Python, and related tools to identify root causes and restore reliable performance.</p><p>• Support integration workflows between Salesforce and NetSuite, ensuring stable data exchange and operational continuity.</p><p>• Evaluate and contribute to automation initiatives, including AI-enabled workflow opportunities that can reduce manual effort and improve efficiency.</p>
<p>Our client is a well-funded, early-stage technology company building AI-driven software that helps businesses automate complex operational and transaction-heavy workflows. The platform leverages modern AI technologies to streamline document processing, data extraction, and decision-making at scale.</p><p>As the company continues to grow, they are looking to add a <strong>Senior Software Engineer</strong> to their San Francisco team.</p><p>What You'll Do</p><ul><li>Design, build, and maintain backend services, APIs, and data pipelines that support high-volume business operations.</li><li>Develop and deploy AI-powered workflows that transform unstructured documents and real-world data into reliable, actionable outputs.</li><li>Build and enhance applications across the stack using React, TypeScript, Python, Go, and Node.js.</li><li>Partner with product and business stakeholders to solve operational challenges through software.</li><li>Own projects from architecture and development through deployment, monitoring, and ongoing improvements.</li><li>Help improve system scalability, reliability, and performance as the platform continues to grow.</li></ul><p>What’s Offered</p><ul><li>Competitive compensation package</li><li>Meaningful equity opportunity</li><li>Medical, dental, and vision coverage</li><li>High-impact role with significant technical ownership</li><li>Collaborative, low-bureaucracy environment</li><li>Opportunity to help shape both product and engineering strategy</li></ul><p>If you're interested in learning more about this opportunity, please apply directly or reach out for a confidential conversation.</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>