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3 results for Cloud Computing Analyst in Oakland, CA

Cyber Security Analyst

Los Angeles, California
remote
Temporary / Contract
40 - 45 USD / Hourly
We are seeking a motivated Cybersecurity Analyst to help protect our cloud infrastructure, web platforms, and sensitive data. In this role, you will monitor security events, investigate threats, respond to incidents, and implement security controls across AWS and web environments. The ideal candidate is hands-on, security-minded, and passionate about identifying risks before they become problems. Day-to-Day Responsibilities<ul><li>Monitor Datadog alerts, logs, and security events to identify and respond to potential threats.</li><li>Investigate phishing attempts, suspicious logins, bot activity, malware, and unauthorized access incidents.</li><li>Secure and support AWS environments, WordPress platforms, and member-facing applications.</li><li>Conduct security audits, vulnerability assessments, and remediation efforts to reduce risk.</li><li>Review and strengthen authentication controls, user access, and role-based permissions.</li><li>Monitor and mitigate suspicious traffic, account abuse, and security vulnerabilities.</li><li>Support HIPAA, SaaS compliance, and audit-readiness initiatives.</li><li>Partner with technical and operations teams to implement security best practices and improve the organization's overall security posture.</li></ul>
2026-09-19T00:00:00Z

Desktop Support Analyst

Palo Alto, California
onsite
Temporary / Contract
38 - 44 USD / Hourly
We are looking for a Desktop Support Analyst to provide hands-on technical support for end users in Palo Alto, California. This Long-term Contract opportunity is ideal for someone who communicates clearly, resolves desktop issues efficiently, and delivers a reliable support experience across hardware and Mac-based environments. The role begins on a part-time basis and may expand over time based on business needs. Responsibilities: • Deliver front-line desktop support by diagnosing and resolving issues related to workstations, peripherals, and end-user technology • Support Mac OS environments, including troubleshooting operating system, software, and device-related problems • Respond to user requests in a detail-oriented and timely manner while providing clear technical guidance • Set up, configure, and maintain computer hardware and related equipment for employees and teams • Track support activity, document resolutions, and escalate more complex issues when needed • Assist with onboarding, equipment deployment, and general desk-side support to ensure smooth day-to-day operations
2026-09-18T00:00:00Z

Data and Knowledge Engineer

Menlo Park, California
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>
2026-09-24T00:00:00Z