Add your latest resume to match with open positions.

16 results for Cybersecurity Engineer in San Francisco, CA

Systems Engineer

Martinez, CA
onsite
Temporary / Contract
60 - 70 USD / Hourly
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. Responsibilities:• Oversee the performance, security, and day-to-day administration of Microsoft 365 applications, including Exchange Online, SharePoint Online, Teams, and OneDrive.• Create and refine Intune configurations for endpoint management, compliance enforcement, and software deployment across supported devices.• Administer identity and access controls within Entra ID, including authentication methods, privileged access workflows, conditional access, and hybrid identity support.• Support the design, maintenance, and troubleshooting of Azure-based services that underpin the organization's cloud infrastructure.• Develop business-focused solutions using Power Apps, Power Automate, and Power BI to improve reporting and streamline operational processes.• Investigate high-severity incidents, perform root-cause analysis, and implement durable fixes across Microsoft 365 and Azure platforms.• Build and maintain automation using PowerShell and Microsoft Graph integrations to reduce manual administrative effort and improve consistency.• Produce and update technical documentation covering architecture, configurations, operational procedures, and support standards.• Assess emerging Microsoft capabilities and licensing updates, then provide recommendations on adoption, governance, and practical use.• Provide technical mentorship to less experienced team members and collaborate with security, compliance, and IT partners on audits, controls, and risk reduction.
2026-08-25T00:00:00Z

DevOps Engineer

San Francisco, CA
onsite
Permanent / Full Time
180000 - 215000 USD / Yearly
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. Responsibilities:• Architect and maintain cloud infrastructure using infrastructure-as-code practices that promote consistency, scalability, and operational simplicity.• Create and refine automated delivery pipelines to support dependable, efficient releases across multiple services and environments.• Establish repeatable deployment approaches for serverless applications, container-based platforms, and orchestrated workflows.• Build internal automation and developer tools that reduce manual effort and help backend and machine learning teams work more efficiently.• Enhance development, testing, and staging environments to improve workflow speed and reduce friction during software delivery.• Define strong monitoring and observability practices across logs, metrics, and tracing to improve system visibility and troubleshooting.• Investigate reliability, latency, and performance issues in distributed environments and partner with engineers to implement lasting improvements.• Strengthen operational readiness by supporting incident response, contributing to post-incident reviews, and turning findings into better tooling and processes.• Integrate security and compliance controls into infrastructure and deployment workflows, including access management, patching, and vulnerability remediation.
2026-08-11T00:00:00Z

AI Engineer (AI Data Privacy, Security & Governance)

San Ramon, CA
remote
Permanent / Full Time
85000 - 124000 USD / Yearly
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. 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. What You’ll Do <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>
2026-08-18T00:00:00Z

Machine Learning Engineer

Menlo Park, CA
onsite
Permanent / Full Time
200000 - 300000 USD / Yearly
Machine Learning Engineer Company OverviewBased 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. Role SummaryThe 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. Key Responsibilities<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>Additional Details<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>
2026-08-19T00:00:00Z

Senior Systems Engineer

San Francisco, CA
onsite
Permanent / Full Time
160000 - 170000 USD / Yearly
We are looking for a Senior Systems Engineer to strengthen and advance a secure, high-performing technology environment in San Francisco, California. This position plays a central role in shaping infrastructure strategy across cloud services, on-premises systems, and network operations while ensuring dependable service delivery. The ideal candidate brings deep technical expertise, a practical approach to problem-solving, and the ability to support both daily operations and long-term initiatives. Responsibilities: • Oversee the performance, security, and availability of infrastructure across internal and client-facing environments, including Microsoft 365, Azure AD, Active Directory, and Nutanix platforms. • Administer core security technologies such as Palo Alto firewalls, endpoint protection tools, and mobile device management solutions to protect systems and data. • Drive infrastructure initiatives from planning through execution, including upgrades, deployments, and improvements that support business and operational goals. • Provide advanced technical support for workstations, servers, mobile hardware, and telecommunications systems, resolving complex issues with urgency and precision. • Maintain accurate technical records, software inventories, patch schedules, and operational procedures to support compliance and continuity. • Partner with external service providers and internal teams to coordinate reliable, secure, and efficient infrastructure operations. • Deliver responsive support to senior leadership and participate in an after-hours on-call rotation as needed to maintain service stability. • Travel periodically to client locations to assist with network deployments, troubleshooting, and project-related implementation work.
2026-08-23T00:00:00Z

Software Engineer III (Platform Engineering)

San Ramon, CA
remote
Permanent / Full Time
104000 - 153000 USD / Yearly
Robert Half is seeking a Software Engineer III (Platform Engineering) 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. What You'll DoSpend approximately 70% of your time building and deploying infrastructure and platform enhancements, with 30% focused on operational support and troubleshooting.Design, build, and maintain scalable, secure, and reliable cloud-based infrastructure supporting applications, ETL/ELT processes, and platform services.Develop and maintain infrastructure automation, monitoring solutions, CI/CD pipelines, and operational tooling.Build and manage AWS resources, including EC2 instances and related cloud services.Support platform services in production environments, troubleshoot outages, and drive root-cause analysis and resolution efforts.Manage critical incidents, including coordinating with external vendors such as Microsoft to resolve high-priority production issues.Implement Infrastructure-as-Code (IaC) solutions and improve platform reliability, scalability, and performance.Collaborate with development, security, and operations teams to support application delivery and platform stability.Conduct code reviews, mentor junior engineers, and promote engineering best practices.Participate in an on-call rotation (approximately every three weeks).
2026-08-15T00:00:00Z

Sr. Software Engineer

Menlo Park, CA
onsite
Permanent / Full Time
200000 - 250000 USD / Yearly
Job TitleSenior Full Stack Engineer About the OpportunityWe are building a high-caliber engineering team and are looking to hire four Senior Full Stack Engineers who thrive in fast-paced, collaborative environments. This is an opportunity to join a growing organization where you'll have significant influence on architecture, product development, and engineering best practices. Our technology stack is intentionally flexible. We are looking for strong engineers first—individuals who can solve complex problems, build scalable systems, and contribute across the full software development lifecycle. Role SummaryThe Full Stack Application Developer will play a critical role in designing, building, and scaling modern business applications that support a wide range of organizational functions. Based in Los Angeles, CA, this role partners closely with cross-functional stakeholders to identify technology needs and deliver innovative, scalable solutions. The ideal candidate brings a strong technical foundation, a forward-thinking mindset, and an interest in emerging technologies, including AI/ML applications in enterprise environments. What You'll Do<ul><li>Design, develop, and maintain scalable software applications and distributed systems.</li><li>Contribute across the full stack, partnering closely with product, design, and engineering teams.</li><li>Build and enhance backend services primarily leveraging Java and Python.</li><li>Develop cloud-native applications and services in modern cloud environments.</li><li>Participate in architecture discussions and technical decision-making.</li><li>Write high-quality, maintainable, and testable code.</li><li>Mentor junior engineers and contribute to a strong engineering culture.</li><li>Drive performance, reliability, and scalability improvements across platforms.</li></ul>Technical Environment<ul><li>Approximately 20% Java development</li><li>Python-based backend services and applications</li><li>Cloud technologies (AWS, Azure, or GCP)</li><li>Frontend technology is flexible; experience with modern JavaScript frameworks is preferred</li><li>Microservices and distributed systems architecture</li><li>CI/CD and modern software engineering practices</li></ul>Compensation & Benefits<ul><li>$200,000 - $250,000 with discretionary bonus</li><li>Comprehensive benefits package</li><li>Performance-based incentives and long-term growth opportunities</li></ul>Additional Details<ul><li>Work model: Onsite</li><li>Collaborative, fast-paced environment with a strong focus on innovation and continuous improvement</li><li>Opportunity to work on impactful, mission-driven initiatives across multiple sectors</li></ul>
2026-08-19T00:00:00Z

Data and Knowledge Engineer

Menlo Park, CA
onsite
Permanent / Full Time
200000 - 300000 USD / Yearly
Data & Knowledge Engineer Company OverviewA leading artificial intelligence and advanced analytics organization is seeking a Data & Knowledge Engineer to help power next-generation AI and decision-support platforms. Based in Los Angeles, California, the company specializes in integrating complex data from disparate sources into unified intelligence systems that support advanced analytics, automation, and operational decision-making. This is an opportunity to work on mission-critical initiatives involving large-scale data, knowledge graphs, and AI-driven applications. Role SummaryThe Data & Knowledge Engineer will lead the onboarding, transformation, and governance of complex multimodal data into scalable data and knowledge platforms. This role focuses on integrating structured and unstructured data sources, designing reusable data pipelines, developing entity resolution frameworks, and enabling high-quality data for analytics, retrieval, AI workflows, and geospatial applications. The ideal candidate combines strong data engineering expertise with experience in knowledge graphs, data quality, and large-scale information management. Key Responsibilities<ul><li>Design and develop scalable data ingestion pipelines for structured, unstructured, geospatial, and sensor-based data sources.</li><li>Build and maintain batch and streaming data processing systems across cloud, on-premises, and disconnected environments.</li><li>Develop integrations with APIs, databases, file systems, enterprise applications, and external data sources.</li><li>Design schema mapping, normalization, and transformation processes that support diverse customer data models.</li><li>Implement entity resolution, record linkage, deduplication, and data matching capabilities across multiple sources.</li><li>Preserve data lineage, provenance, auditing, and traceability throughout the data lifecycle.</li><li>Create data validation, monitoring, replay, and exception-handling processes for complex data environments.</li><li>Develop workflows for managing ambiguous records, conflicting information, and data quality issues.</li><li>Define and measure data quality metrics, onboarding effectiveness, and operational performance indicators.</li><li>Support knowledge graph, retrieval, AI, and analytics capabilities through high-quality governed datasets.</li><li>Partner with engineering and stakeholder teams to transform recurring onboarding requirements into reusable platform capabilities.</li><li>Contribute to platform architecture, engineering standards, and long-term data strategy initiatives.</li></ul>Additional Details<ul><li>Fully onsite 5 days a week</li><li>Full-time exempt position</li><li>Hands-on engineering role with substantial ownership and technical influence</li><li>Opportunity to work on large-scale data, knowledge graph, and AI-driven initiatives</li><li>Staff-level candidates may provide architectural leadership, mentorship, and engineering guidance</li><li>Candidates must be authorized to work in the United States and satisfy applicable regulatory employment requirements</li></ul>
2026-08-19T00:00:00Z

Data Engineer

San Francisco, CA
remote
Temporary / Contract
65 - 70 USD / Hourly
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. Responsibilities:• Build, monitor, and refine data pipelines that move financial and transactional information across internal platforms and enterprise systems.• Investigate data issues, resolve integration failures, and improve the overall accuracy and consistency of business-critical datasets.• Develop and maintain middleware solutions that connect NetSuite, Salesforce, Snowflake, and custom applications.• Partner with Finance, Systems, and Engineering stakeholders to deliver technical enhancements that support accounting operations and downstream reporting.• Implement improvements within NetSuite and related financial systems to better support billing, accounts payable, and quote-to-cash processes.• Troubleshoot code and system behaviors using SQL, Python, and related tools to identify root causes and restore reliable performance.• Support integration workflows between Salesforce and NetSuite, ensuring stable data exchange and operational continuity.• Evaluate and contribute to automation initiatives, including AI-enabled workflow opportunities that can reduce manual effort and improve efficiency.
2026-08-19T00:00:00Z

Software Engineer II – AI Engineer (w/ skills in Deployment)

San Ramon, CA
remote
Permanent / Full Time
85000 - 124000 USD / Yearly
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. 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. What You’ll Do <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>
2026-08-18T00:00:00Z

Senior/ Staff Site Reliability Engineer (SRE)

San Francisco, CA
onsite
Permanent / Full Time
180000 - 210000 USD / Yearly
We are looking for a Senior or Staff level Site Reliability Engineer to strengthen the reliability, scalability, and operational maturity of our platform in San Francisco, California. This role will focus on improving service health, refining observability, and partnering with engineering teams to build systems that perform consistently under real-world demand. The ideal candidate brings deep production experience, a strong automation mindset, and a practical approach to incident response and continuous improvement. Responsibilities:• Establish measurable reliability standards for critical services by creating and maintaining service indicators, objectives, and error budget practices.• Take ownership of production stability by monitoring uptime, latency, and availability, and driving improvements that reduce operational risk.• Lead live incident response efforts, coordinate troubleshooting during outages, and ensure issues are resolved efficiently and thoroughly.• Run blameless post-incident reviews, document findings clearly, and track corrective actions through completion.• Design and enhance observability across logs, metrics, and distributed tracing using tools such as Datadog, CloudWatch, Grafana, OpenTelemetry, and Sentry.• Improve alert quality and dashboard design so engineering teams can quickly identify meaningful system issues without unnecessary noise.• Evaluate system behavior under load, uncover performance constraints, and recommend changes that improve scalability and resource efficiency.• Build automation and internal tooling that streamline operational work, strengthen deployment safety, and support incident management, debugging, and capacity planning.• Contribute to infrastructure and delivery workflows across AWS, Terraform, Ansible, Linux, and GitHub Actions with a focus on dependable releases and resilient systems.• Partner with security and compliance stakeholders to support operational standards, audit readiness, and the integration of monitoring into broader engineering practices
2026-08-11T00:00:00Z

RF Test and Integration Engineer

San Francisco, CA
onsite
Permanent / Full Time
140000 - 160000 USD / Yearly
We are looking for an RF Test and Integration Engineer to lead verification efforts that confirm wireless hardware performs reliably in the lab, during production validation, and at deployed sites. This position combines hands-on RF measurement, automation development, and real-world integration work to support each stage of the hardware lifecycle. Based in San Francisco, California, the role partners closely with firmware, driver, and hardware teams to strengthen product quality and deployment readiness. Responsibilities: • Conduct detailed RF performance evaluations across operating conditions such as temperature, voltage, channel width, and output power to verify hardware behavior and readiness. • Perform end-to-end integration testing across the full radio path, assessing components from the chipset and front-end circuitry through to antenna performance in bench and over-the-air environments. • Create and maintain Python-based automation frameworks that control RF lab equipment and support repeatable regression testing for firmware and driver updates. • Investigate performance degradation by tracing issues across software, firmware, drivers, and RF hardware to identify root causes and drive resolution. • Execute site surveys, support RF design planning, confirm link-budget assumptions, and oversee deployment validation at field locations. • Gather and analyze operational data from installed systems to improve propagation models and refine coverage planning accuracy. • Lead in-house pre-compliance testing activities, coordinate with external certification partners, and troubleshoot failures that affect regulatory approval. • Support qualification processes that establish release confidence for new hardware revisions before production and field use.
2026-08-11T00:00:00Z

Agent Platform Engineer

Menlo Park, CA
onsite
Permanent / Full Time
200000 - 300000 USD / Yearly
Agent Platform Engineer Company OverviewA leading artificial intelligence and advanced analytics organization is seeking an Agent Platform Engineer to help develop next-generation AI orchestration and decision-support platforms. Based in Los Angeles, California, the company specializes in integrating complex data sources into scalable intelligence solutions that support mission-critical operations, advanced analytics, and organizational workflows. This is an opportunity to work on cutting-edge AI technologies within a highly collaborative and innovative engineering environment. Role SummaryThe Agent Platform Engineer will design, build, and optimize enterprise-grade AI platforms that connect structured and unstructured data, knowledge graphs, retrieval systems, and intelligent workflows. This hands-on role focuses on developing production-ready AI applications, agent frameworks, workflow orchestration systems, retrieval pipelines, and model-serving infrastructure. The ideal candidate combines strong software engineering fundamentals with expertise in AI systems, distributed architectures, and scalable platform development. Key Responsibilities<ul><li>Design and implement intelligent workflow systems for research, analysis, automation, and decision-support use cases.</li><li>Develop scalable retrieval, search, and knowledge management capabilities across structured and unstructured datasets.</li><li>Build backend services, APIs, and platform capabilities supporting AI-driven applications.</li><li>Create resilient workflow orchestration patterns for long-running, distributed, and fault-tolerant processes.</li><li>Develop authorization, permission management, auditing, and governance mechanisms within AI platforms.</li><li>Optimize retrieval, inference, and execution performance across diverse deployment environments.</li><li>Fine-tune, evaluate, and integrate open-source AI models to support specialized business workflows.</li><li>Implement model routing, inference optimization, caching, and fallback strategies.</li><li>Build evaluation frameworks that measure system accuracy, reliability, performance, and operational effectiveness.</li><li>Develop observability, monitoring, alerting, and troubleshooting capabilities across platform components.</li><li>Partner with product, data, machine learning, infrastructure, security, and customer-facing teams to deliver scalable solutions.</li><li>Contribute to technical architecture, engineering standards, and long-term platform strategy.</li></ul>Additional Details<ul><li>Fully onsite 5 days per week</li><li>Individual contributor role with substantial technical ownership</li><li>Opportunity to work on advanced AI, automation, retrieval, and knowledge graph technologies</li><li>Staff-level candidates may provide technical leadership, mentorship, and architecture guidance</li><li>Candidates must be authorized to work in the United States and satisfy applicable regulatory employment requirements</li></ul>
2026-08-19T00:00:00Z

Senior DevOps Engineer (AWS / PeopleSoft)

San Ramon, CA
remote
Permanent / Full Time
104000 - 155000 USD / Yearly
Robert Half is seeking an experienced DevOps Engineer III to design, build, automate, support, and continuously improve enterprise application environments supporting PeopleSoft, MuleSoft, MOVEit, and other HRFS platforms.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.Experience supporting managed file transfer platforms, enterprise integrations, and highly available cloud environments is highly preferred.What You'll DoEnvironment Operations & SupportSupport and maintain production and non-production application environments.Provide PeopleSoft administration and infrastructure support, including environment refreshes, migrations, updates, security maintenance, and Integration Broker troubleshooting.Monitor system availability, performance, capacity, and operational health.Troubleshoot complex application and infrastructure issues and implement corrective actions.Support releases, maintenance activities, patch management, upgrades, and outage remediation.Participate in a 24x7 on-call rotation for critical business systems.Review and address security vulnerabilities in partnership with internal teams and vendors.Ensure high availability, disaster recovery readiness, backup validation, and operational resiliency.Maintain architecture, operational, configuration, and disaster recovery documentation.Support software compliance and audit activities.Automation & Platform EngineeringDesign, build, configure, and deploy application and infrastructure environments.Develop Infrastructure-as-Code (IaC) solutions and automation frameworks.Create and maintain automation scripts for provisioning, deployments, monitoring, and operational processes.Support CI/CD pipelines and drive continuous improvement through automation and standardization.Architecture & Solution DesignDesign secure, scalable, highly available cloud and infrastructure solutions.Develop disaster recovery strategies with defined RPO/RTO objectives.Evaluate emerging technologies, conduct proof-of-concept activities, and recommend solutions.Design integrations between enterprise applications and infrastructure platforms.Provide capacity planning, scalability recommendations, and technical design reviews.Technical LeadershipProvide mentorship and technical guidance to DevOps and support engineers.Lead discussions related to cloud architecture, automation, operational strategy, and platform reliability.Participate in technology evaluations, vendor selection, and roadmap planning.Promote DevOps, security, cloud, and operational best practices.Collaborate with application, infrastructure, security, and business teams to deliver
2026-08-18T00:00:00Z

Salesforce Technical Architect (Software Engineer IV)

San Ramon, CA
remote
Permanent / Full Time
119000 - 180000 USD / Yearly
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.
2026-08-18T00:00:00Z

AI and Recommendation Engineer

Oakland, CA
onsite
Permanent / Full Time
250000 - 350000 USD / Yearly
Robert Half is partnering with an innovative healthcare technology organization that is transforming how professionals discover and consume highly specialized educational content. The team is seeking a Senior, Staff or Principal AI Search and Recommendation Engineer to lead the architecture and development of next-generation AI-powered discovery, search, recommendation, and retrieval platforms.This role is ideal for someone who has built intelligent search and recommendation systems at scale and wants to drive both technical strategy and hands-on development.What You'll Do<ul><li>Lead the design and development of AI-powered search, recommendation, and discovery platforms.</li><li>Build LLM-driven user experiences that understand user intent and deliver highly relevant results.</li><li>Develop semantic search, retrieval, ranking, and recommendation pipelines using embeddings, vector databases, and modern retrieval architectures.</li><li>Design and implement Retrieval-Augmented Generation (RAG) solutions, knowledge retrieval systems, and AI-powered assistants.</li><li>Evaluate emerging AI technologies, frameworks, and infrastructure to drive innovation.</li><li>Build scalable cloud-native services supporting high-volume global users.</li><li>Partner with Product, Data Science, and Engineering teams to prototype, test, and launch new AI capabilities.</li><li>Define long-term AI architecture and best practices across the organization</li></ul>
2026-07-31T00:00:00Z