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16 results for Cybersecurity Engineer in San Francisco, CA

Security Engineer

Petaluma, CA
onsite
Temporary / Contract
60 - 65 USD / Hourly
We are looking for a Security Engineer to join a Contract assignment supporting endpoint protection and device readiness for an aviation-focused organization in Petaluma, California. This role is ideal for someone who combines hands-on desktop support experience with a strong grounding in cybersecurity and can help prepare, secure, and validate user hardware for deployment. The position involves onsite collaboration, practical troubleshooting, and day-to-day security operations across laptops and other endpoint devices. Responsibilities:• Prepare laptops and endpoint equipment for deployment by imaging systems, completing device setup, and verifying configuration standards.• Install, configure, and confirm the performance of security applications so devices meet internal protection and compliance expectations before release to users.• Execute hardware diagnostics, operating system checks, and security validation activities to confirm each asset is ready for production use.• Review remote work environments and identify steps needed to improve home office security and reduce endpoint-related risk.• Administer and support endpoint security and identity tools, including CrowdStrike and Okta,for provisioning.• Monitor endpoint events and security notifications, investigate issues, and take appropriate action to address potential threats or control gaps.• Apply desktop security requirements by maintaining endpoint safeguards, identity controls, and device protection practices.• Partner with Help Desk and other technical teams to assist with hardware rollouts, employee onboarding, and resolution of security-related device issues.• Support patching efforts, vulnerability remediation work, and other ongoing initiatives designed to strengthen endpoint security.• Provide onsite technical assistance for endpoint hardware, device administration, and operational security needs during the engagement.
2026-09-02T00:00:00Z

Software Engineer

Martinez, CA
onsite
Temporary / Contract
65 - 75 USD / Hourly
We are looking for an experienced Software Engineer to support the design, development, and ongoing enhancement of business applications in Martinez, California. This Long-term Contract Software Engineerposition is ideal for someone who can manage the full development lifecycle, collaborate with stakeholders, and deliver reliable web-based and integrated software solutions. The Software Engineerrole includes hands-on programming, technical analysis, testing, deployment, and post-release support across a range of platforms and technologies. Responsibilities:• Design, build, and maintain web applications, desktop-style client applications, APIs, reports, and data exchange solutions that support business operations.• Partner with stakeholders to define needs, translate functional goals into technical plans, and provide effort estimates and delivery timelines.• Oversee assigned development work from planning through release, including task tracking, technical documentation, testing coordination, and deployment activities.• Develop and support software using technologies such as C#, VB.NET, ASP.NET, JavaScript, HTML, CSS, and related web development frameworks.• Create and maintain system integrations between third-party SaaS platforms and custom or vendor-supported applications.• Produce data extracts and reporting solutions, including work related to SQL Server Reporting Services and other reporting tools.• Participate in code reviews, validate application quality through testing, and resolve issues identified during development and production support.• Contribute to specialized platform development efforts such as ServiceNow applications, modules, implementations, and workflow enhancements.• Support advanced solution delivery in areas such as API development, provider directory-related integrations, and the use of AI within applications and business processes.
2026-09-15T00:00:00Z

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.
2026-09-15T00:00:00Z

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 support the infrastructure strategy across cloud services, on-premises systems, and network operations while ensuring dependable service delivery. Responsibilities:• Oversee the performance, security, and availability of infrastructure across internal and client-facing environments, including ownership Microsoft 365, Azure AD, Active Directory 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.
2026-08-28T00:00:00Z

Systems Engineer II

San Ramon, CA
remote
Permanent / Full Time
85000 - 124000 USD / Yearly
The System Engineer II supports the reliability, security, availability, and continuous improvement of enterprise cloud infrastructure and platform services. This role assists with Azure and/or AWS operations, cloud solution design, Infrastructure as Code (IaC), and the deployment and operational support of AI services in Azure, including Microsoft Foundry. The position works closely with project managers, business stakeholders, application teams, and senior engineers to deliver scalable, secure, and well-documented technology solutions. Key ResponsibilitiesSupport daily operations, monitoring, maintenance, troubleshooting, and reliability for Azure and/or AWS environments.Assist with the design, deployment, configuration, patching, and optimization of cloud infrastructure and platform services.Develop and maintain Infrastructure as Code using Azure Bicep, Azure CLI, or PowerShell to enable repeatable and secure deployments.Provision and support Azure AI services, including Microsoft Foundry, through environment setup, access management, monitoring, and documentation.Partner with business and technical teams to gather requirements and deliver cloud-based solutions.Create and maintain technical documentation, runbooks, standards, and operational procedures.Participate in change management, production readiness, incident response, and availability management processes.Identify automation opportunities to improve efficiency and reduce manual effort.Collaborate with senior engineers and architects on cloud standards, security practices, and platform enhancements.Monitor cloud costs and recommend optimization opportunities.Manage monitoring and observability tools such as Azure Monitor, Application Insights, and CloudWatch.Support security patching, vulnerability remediation, and compliance controls.Provide technical support and communicate effectively with both technical and non-technical stakeholders.
2026-09-14T00:00:00Z

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

Palo Alto, CA
remote
Temporary / Contract
60 - 65 USD / Hourly
We are looking for a senior-level software engineer to take a lead role in shaping backend systems and guiding technical direction for a high-impact engineering team in Palo Alto, California. This Long-term Contract position combines architecture ownership with active software development, offering the opportunity to influence design standards while contributing directly to production code. The role is well suited for someone who can balance strategic decision-making, engineering mentorship, and deep hands-on execution in an AI-focused development environment. Responsibilities: • Define and evolve backend architecture to support scalable, reliable, and maintainable software solutions. • Write and deliver production-quality code while remaining deeply involved in day-to-day engineering work. • Provide technical leadership across the team by setting direction, resolving complex design questions, and promoting sound development practices. • Review code thoughtfully and consistently to maintain quality, encourage knowledge sharing, and strengthen overall system design. • Make informed architectural decisions that align with product goals, long-term platform health, and engineering best practices. • Build extensions, plugins, and integrations on top of the organization’s AI platform to expand functionality and improve developer workflows. • Collaborate with engineers and stakeholders to translate technical needs into effective backend solutions within a standardized AI environment.
2026-09-14T00:00:00Z

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

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

Sr. Fullstack Engineer

San Francisco, CA
onsite
Permanent / Full Time
200000 - 240000 USD / Yearly
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.As the company continues to grow, they are looking to add a Senior Software Engineer to their San Francisco team.What You'll Do<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>What’s Offered<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>If you're interested in learning more about this opportunity, please apply directly or reach out for a confidential conversation.
2026-08-28T00:00:00Z

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

Software Developer

Martinez, CA
onsite
Temporary / Contract
60 - 75 USD / Hourly
We are looking for a Web Developer to support the design, development, and ongoing enhancement of business-critical applications in Martinez, California. This Long-term Contract position is ideal for someone who can balance hands-on programming with analysis, stakeholder collaboration, and end-to-end delivery across web solutions, integrations, reports, and APIs. The role offers the opportunity to work across multiple technologies while contributing to reliable, scalable tools that support day-to-day operations. Responsibilities: • Build, enhance, and maintain web-based and desktop-style applications using modern and legacy development technologies, including Microsoft-focused programming frameworks. • Lead work through the full solution lifecycle by clarifying business needs, translating requirements into technical plans, estimating effort, and delivering completed features. • Collaborate with business partners, technical teams, and vendors to define priorities, communicate progress, and ensure solutions align with operational goals. • Develop and support custom system integrations, including connections between third-party SaaS platforms, internal applications, and external API services such as provider directory interfaces. • Produce data extracts, operational reports, and application programming interfaces that improve access to information and streamline business processes. • Perform testing, troubleshooting, code review, deployment, and post-release support to maintain application quality and stability. • Create and maintain technical documentation, task breakdowns, and implementation details for new functionality and system updates. • Contribute to development efforts within platforms such as ServiceNow and help incorporate automation or AI-driven capabilities into business applications and workflows.
2026-09-16T00:00:00Z

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