Add your latest resume to match with open positions.

The job you are looking for is no longer available. Check out similar results below.

6 results for Microsoft Systems Engineer in San Ramon, CA

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

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

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

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

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