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12 results for Security Engineer in Westwood, CA

Security Architect
  • Los Angeles, California
  • onsite
  • Permanent / Full Time
  • 180000 - 230000 USD / Yearly
  • <p><strong>Security Architect</strong></p><p><br></p><p><strong>Company Overview</strong></p><p>A global consumer products and retail organization is seeking a Security Architect to help drive enterprise-wide security strategy and innovation. Based in Los Angeles, California, the company operates a complex technology ecosystem spanning cloud platforms, enterprise applications, infrastructure, and global business operations. This is an opportunity to join a forward-thinking organization where security is viewed as a business enabler and innovation, including emerging AI technologies, is actively embraced.</p><p><br></p><p><strong>Role Summary</strong></p><p>The Security Architect serves as a strategic and hands-on security leader responsible for embedding security-by-design principles across technology initiatives. This role partners closely with infrastructure, engineering, application, cloud, and business teams to establish security architecture standards, provide design oversight, and guide the adoption of emerging technologies. The ideal candidate is proactive, technically broad, comfortable wearing multiple hats, and excited about helping shape the organization&#39;s security strategy for cloud, AI, automation, and modern enterprise technologies.</p><p><br></p><p><strong>Key Responsibilities</strong></p><ul><li>Define, implement, and evolve the organization&#39;s security architecture operating model and governance framework.</li><li>Develop practical security roadmaps aligned to business priorities, technology strategy, and emerging threats.</li><li>Lead security architecture efforts for cloud, infrastructure, applications, data protection, and identity management initiatives.</li><li>Establish enterprise security standards, architectural principles, and reusable design patterns.</li><li>Evaluate technologies, platforms, and solution designs to ensure alignment with security requirements and risk objectives.</li><li>Partner with engineering and technology teams to incorporate security early in the design and development lifecycle.</li><li>Provide subject matter expertise for emerging technologies, including AI, machine learning, automation, and intelligent systems.</li><li>Support security tooling strategy, architecture reviews, platform integrations, and operational improvements.</li><li>Develop reference architectures and guidance that enable secure and scalable technology adoption.</li><li>Collaborate with stakeholders to assess risk, recommend mitigation strategies, and improve security posture.</li><li>Ensure security architecture aligns with relevant compliance, privacy, and governance requirements.</li><li>Drive continuous improvement initiatives that enhance security maturity across the organization.</li></ul><p><strong>Additional Details</strong></p><ul><li>Work model: Three onsite days per week required</li><li>High-visibility role with direct influence on enterprise security strategy and technology decisions</li><li>Opportunity to help shape security standards for emerging AI and automation initiatives</li><li>Fast-paced environment that values innovation, collaboration, and continuous improvement</li></ul>
  • 2026-09-14T00:00:00Z
Cybersecurity Analyst
  • Los Angeles, California
  • remote
  • Temporary / Contract
  • 45 - 55 USD / Hourly
  • <p>email: valerie.montoya@rht(.com) <strong><em><u>***Local Southern California candidates only. Applicants must reside within the Southern California area and be able to work onsite as required. Relocation assistance is not available.***</u></em></strong></p><p><br></p><p>Robert Half is seeking a <strong>Cybersecurity Analyst </strong>to support and enhance our organization&#39;s security posture across cloud applications, web-based platforms, and enterprise infrastructure. This individual will be responsible for monitoring security threats, investigating alerts, auditing security controls, and implementing configuration improvements to reduce risk and strengthen compliance.</p><p><br></p><p>The ideal candidate has experience working in cloud environments, security monitoring platforms, firewalls, identity and access management, and compliance frameworks involving the protection of sensitive and regulated data.</p><p><br></p><p><strong>Responsibilities</strong></p><ul><li>Monitor, investigate, and respond to security alerts, threats, and suspicious activity across cloud and on-premises environments.</li><li>Perform security auditing, access reviews, and configuration assessments to ensure adherence to security standards and best practices.</li><li>Support security monitoring and observability platforms such as Datadog, SIEM, EDR, and log management tools.</li><li>Review and harden security configurations across web applications, cloud infrastructure, and enterprise systems.</li><li>Manage and improve security controls related to authentication, authorization, and privileged access.</li><li>Assist with firewall administration, security policy reviews, and access control management.</li><li>Partner with infrastructure, application, and development teams to identify and remediate vulnerabilities.</li><li>Investigate and respond to security incidents, documenting findings and recommendations.</li><li>Ensure compliance with applicable security and privacy requirements related to PII and regulated data.</li><li>Support internal and external audits and participate in risk assessments and security reviews.</li><li>Develop and maintain security documentation, standards, policies, and procedures.</li></ul><p><br></p>
  • 2026-09-18T00:00:00Z
Senior Cloud Security Engineer
  • Los Angeles, California
  • onsite
  • Permanent / Full Time
  • 155000 - 180000 USD / Yearly
  • <p><strong>Senior Cloud Security Engineer</strong></p><p><br></p><p><strong>Company Overview</strong></p><p>A global firm based in Los Angeles, California is seeking a Senior Cloud Security Engineer to strengthen its cybersecurity program across cloud, data, endpoint, identity, and enterprise environments. This is an opportunity to join a collaborative technology organization where security, risk management, and operational excellence are critical to the business.</p><p><br></p><p><strong>Role Summary</strong></p><p>The Senior Cloud Security Engineer will be a hands-on member of the Information Security team responsible for securing cloud infrastructure, enterprise data platforms, endpoints, identities, and business-critical systems. This role has a particular emphasis on Microsoft Azure security and will partner closely with data engineering and technology teams to secure modern cloud-based data environments. The ideal candidate combines strong cloud security architecture and engineering expertise with practical experience across security operations, incident response, vulnerability management, data protection, and risk management.</p><p><br></p><p><strong>Key Responsibilities</strong></p><ul><li>Serve as a security engineering resource for Microsoft Azure architecture, integrations, network security, identity, access controls, secrets management, and cloud security posture.</li><li>Partner with data engineering teams to secure cloud-based data and analytics platforms through appropriate authentication, encryption, network controls, logging, and secrets management.</li><li>Review security configurations and architecture for new cloud, application, and data platform integrations prior to production deployment.</li><li>Monitor, investigate, and respond to security events involving cloud, endpoint, email, identity, data protection, and enterprise systems.</li><li>Lead vulnerability identification, prioritization, remediation tracking, patch management, and cloud security configuration improvements.</li><li>Support identity security initiatives including Microsoft Entra ID, conditional access, managed identities, least privilege, and identity governance.</li><li>Develop and enhance cloud security monitoring, alerting, data protection, and incident response capabilities.</li><li>Apply Infrastructure-as-Code practices to help automate, standardize, and enforce secure cloud configurations.</li><li>Conduct security assessments and collaborate with technology vendors and managed security providers to identify and remediate risk.</li><li>Support governance, risk, compliance, audit, business continuity, and disaster recovery activities across the organization.</li></ul><p><strong>Additional Details</strong></p><ul><li>3 days onsite, 2 days remote</li><li>Hands-on security engineering role spanning cloud infrastructure, data platforms, security operations, and enterprise security</li><li>Close collaboration with data engineering, IT, technology vendors, and managed security providers</li><li>Opportunity to work across a broad cybersecurity technology stack within a highly regulated environment</li><li>Candidates must be authorized to work in the United States</li></ul>
  • 2026-09-18T00:00:00Z
Network Engineer
  • Los Angeles, California
  • onsite
  • Permanent / Full Time
  • 189000 - 225000 USD / Yearly
  • <p><strong>Network Engineer</strong></p><p><br></p><p><strong>Company Overview</strong></p><p>A manufacturing and technology organization is seeking a Network Engineer to help build and scale the infrastructure that powers mission-critical operations. Based in Los Angeles, California, the company combines automation, software, and cutting-edge manufacturing technologies to support highly regulated, high-availability environments. This is an opportunity to play a key role in designing and advancing the network architecture behind a fast-growing, multi-site enterprise.</p><p><br></p><p><strong>Role Summary</strong></p><p>The Network Engineer will serve as a senior technical leader responsible for the design, architecture, automation, and reliability of enterprise network infrastructure across data center, campus, cloud, and multi-site environments. This role will lead network strategy, new site deployments, cloud connectivity, infrastructure automation, and operational standards while partnering closely with infrastructure, security, and operations teams. The ideal candidate brings deep enterprise networking expertise, strong architectural judgment, and experience supporting highly regulated, large-scale environments.</p><p><br></p><p><strong>Key Responsibilities</strong></p><ul><li>Design and own enterprise network architecture across data center, campus, cloud, and multi-site environments.</li><li>Lead network design and deployment efforts for new facilities, office expansions, and manufacturing locations.</li><li>Architect scalable routing, switching, segmentation, and high-availability solutions.</li><li>Design and support SD-WAN, VPN, cloud connectivity, and hybrid network architectures.</li><li>Implement and optimize BGP, OSPF, routing policies, failover strategies, and traffic engineering solutions.</li><li>Design and maintain scalable network fabrics, data center infrastructure, and multi-site connectivity solutions.</li><li>Build Infrastructure-as-Code (IaC) solutions for network provisioning, automation, and change management.</li><li>Support AWS and Azure networking environments, including hybrid connectivity and cloud routing.</li><li>Develop standards for monitoring, observability, documentation, and operational excellence.</li><li>Lead root-cause analysis and resolution of complex network, wireless, routing, and performance issues.</li><li>Partner with telecommunications providers and vendors on circuit provisioning, redundancy, and infrastructure projects.</li><li>Support facility technologies including Wi-Fi, security systems, access control, and IoT connectivity.</li><li>Mentor engineers and technical team members on architecture, operational standards, and best practices.</li><li>Participate in incident response, on-call support rotations, maintenance activities, and network modernization initiatives.</li></ul><p><strong>Additional Details</strong></p><ul><li>Work model: 4-5 days onsite</li><li>10-20% travel required for infrastructure deployments and site expansion projects</li><li>Participation in on-call rotations and occasional after-hours maintenance windows</li><li>Opportunity to lead greenfield network deployments and support large-scale organizational expansion</li><li>Candidates must be authorized to work in the United States and satisfy applicable regulatory employment requirements</li></ul>
  • 2026-09-03T00:00:00Z
Network Engineer
  • Los Angeles, California
  • onsite
  • Permanent / Full Time
  • 145000 - 175000 USD / Yearly
  • <p><strong>Principal Network Engineer</strong></p><p><br></p><p><strong>Company Overview</strong></p><p>A global enterprise organization is seeking a Principal Network Engineer to help drive the design, modernization, and operational excellence of a large-scale network infrastructure environment. Based in Los Angeles, California, the company operates across multiple regions and relies on highly available, secure, and scalable networking platforms to support business-critical operations. This is an opportunity to join a high-impact technology team focused on innovation, cloud transformation, automation, and enterprise architecture.</p><p><br></p><p><strong>Role Summary</strong></p><p>The Principal Network Engineer will serve as a senior technical leader responsible for defining network architecture, engineering standards, and strategic networking initiatives across a global enterprise environment. This role will lead the design, implementation, optimization, and governance of enterprise networking solutions spanning data centers, cloud platforms, SD-WAN, and hybrid infrastructure. The ideal candidate combines deep technical expertise with strong leadership skills and the ability to influence technology strategy across multiple teams and stakeholders.</p><p><br></p><p><strong>Key Responsibilities</strong></p><ul><li>Lead the design, implementation, and governance of enterprise network architecture across global environments.</li><li>Establish networking standards, best practices, and operational processes that support long-term business objectives.</li><li>Drive cloud networking, SD-WAN, and hybrid infrastructure modernization initiatives.</li><li>Evaluate network performance, capacity, utilization, and reliability while recommending improvements.</li><li>Lead troubleshooting and resolution of complex network, infrastructure, and connectivity issues.</li><li>Oversee network maintenance, upgrades, enhancements, and lifecycle management activities.</li><li>Design and support large-scale routing, switching, WAN, LAN, wireless, and data center networking solutions.</li><li>Partner with infrastructure, cloud, security, and business teams on strategic technology initiatives.</li><li>Develop project plans, technical documentation, operational procedures, and architecture standards.</li><li>Lead vendor relationships, technology evaluations, and solution implementations.</li><li>Drive automation and orchestration initiatives that improve operational efficiency and service delivery.</li><li>Serve as an escalation point for major incidents and critical operational challenges.</li><li>Contribute to network transformation efforts involving cloud adoption, automation, and infrastructure modernization.</li></ul><p><strong>Additional Details</strong></p><ul><li>Work model: hybrid 3 days onsite</li><li>Participation in an on-call rotation supporting global operations</li><li>Opportunity to lead high-visibility network transformation and modernization initiatives</li><li>Collaborate with global technology teams supporting critical business operations</li><li>Significant ownership over enterprise networking strategy, standards, and innovation</li></ul>
  • 2026-09-08T00:00:00Z
Network Engineer
  • Rosemead, California
  • onsite
  • Permanent / Full Time
  • 140000 - 160000 USD / Yearly
  • <p><strong>Job Title</strong></p><p>Senior Network Engineer</p><p><br></p><p><strong>Company Overview</strong></p><p>A leading organization in the consumer services and enterprise operations space, based in San Gabriel Valley, California, is focused on delivering reliable, scalable technology solutions across a large, distributed environment. The company emphasizes operational excellence, innovation, and strong infrastructure to support critical business functions. Its technology teams play a key role in ensuring seamless connectivity, performance, and security at scale.</p><p><br></p><p><strong>Role Summary</strong></p><p>The Senior Network Engineer will be responsible for designing, maintaining, and optimizing enterprise network infrastructure in San Gabriel Valley, California. This role serves as a technical lead across network operations, ensuring high availability, performance, and scalability while supporting large-scale business operations. The position also plays a critical role in disaster recovery planning, infrastructure modernization, and cross-functional collaboration with security and infrastructure teams.</p><p><br></p><p><strong>Key Responsibilities</strong></p><ul><li>Design, implement, and maintain enterprise-scale network infrastructure across LAN, WAN, and wireless environments</li><li>Configure and support routers, switches, firewalls, and related networking equipment</li><li>Monitor network performance, troubleshoot issues, and implement improvements for stability and scalability</li><li>Lead disaster recovery initiatives, including planning, testing, patching, and ongoing maintenance</li><li>Partner with cross-functional teams to ensure secure and efficient network operations</li><li>Support cloud networking environments and hybrid infrastructure integrations</li><li>Perform capacity planning and recommend upgrades to meet business growth demands</li><li>Manage firmware updates, patches, and system upgrades to maintain performance and security</li><li>Collaborate with vendors and external partners to evaluate and implement network solutions</li><li>Lead or contribute to network-related projects from planning through implementation and support</li></ul><p><strong>Compensation &amp; Benefits</strong></p><ul><li>$145,000 - $ 155,000 with discretionary bonus + stock</li><li>Performance-based bonus opportunities and equity participation</li><li>Comprehensive medical, dental, and vision coverage with strong employer contributions</li><li>Retirement plan with company match</li><li>Additional perks including employee discounts and wellness-focused benefits</li><li>Strong work-life balance and team-oriented culture</li></ul><p><strong>Additional Details</strong></p><ul><li>Hybrid work model with regular in-office collaboration (4 days per week)</li><li>Flexible start times within core working hours</li><li>Opportunity to work in a large-scale, enterprise environment with high visibility</li><li>Role includes both operational support and project-based work</li></ul>
  • 2026-09-24T00:00:00Z
Cyber Security Analyst
  • Los Angeles, California
  • remote
  • Temporary / Contract
  • 35.625 - 41.25 USD / Hourly
  • We are looking for a Cyber Security Analyst to help protect systems, applications, and sensitive member information in Los Angeles, California. This Long-term Contract opportunity is suited for a security specialist who can monitor threats, investigate suspicious activity, and strengthen defenses across cloud-hosted and web-based environments. The role partners with technical and operational stakeholders to improve risk controls, support audit readiness, and reinforce the organization’s overall security posture.<br><br>Responsibilities:<br>• Monitor security events, assess potential threats, and take timely action to contain or escalate incidents affecting systems and user accounts.<br>• Examine logs and alert data, including activity captured through Datadog, to identify anomalies, unauthorized access attempts, and emerging attack patterns.<br>• Perform security reviews of cloud platforms, web applications, and member-facing systems to uncover weaknesses and recommend corrective measures.<br>• Investigate phishing campaigns, malware concerns, bot activity, and account compromise cases, documenting findings and response steps clearly.<br>• Evaluate user roles, access levels, and permission structures to support appropriate segregation of duties and stronger authentication controls.<br>• Contribute to the protection and hardening of WordPress environments and other hosted platforms by helping implement practical security improvements.<br>• Prepare audit-related security documentation and assist with remediation planning to support internal assessments and future external compliance reviews.<br>• Partner with leadership and cross-functional teams to reduce risk, improve monitoring practices, and advance broader cybersecurity initiatives.
  • 2026-09-21T00:00:00Z
Data Engineer
  • Los Angeles, California
  • onsite
  • Permanent / Full Time
  • 150000 - 220000 USD / Yearly
  • <p>We are looking for a Data Engineer to build and enhance reporting and data solutions that help teams make informed business decisions across the organization. This role partners with groups such as asset management, acquisitions, accounting, and HR to translate business needs into scalable dashboards, reliable data pipelines, and actionable insights. Based in Los Angeles, California, the position is ideal for someone who combines strong technical depth with the ability to explain findings clearly to a range of stakeholders.</p><p><br></p><p>Responsibilities:</p><p>• Create and refine dashboards, reports, and automated data outputs using tools such as Python, Excel, and Power BI to support operational and strategic reporting needs.</p><p>• Examine large and varied datasets to uncover meaningful trends, performance indicators, and opportunities for improvement.</p><p>• Guide and support entry-level BI team members by reviewing work, sharing best practices, and contributing to their career growth.</p><p>• Partner with stakeholders across multiple business functions to define reporting goals, gather technical requirements, and deliver effective data solutions.</p><p>• Translate technical concepts and analytical results into clear recommendations for non-technical audiences.</p><p>• Contribute to cross-department initiatives that improve data availability, reporting consistency, and overall usability of business information.</p><p>• Develop and maintain queries, procedures, and data workflows to support extraction, transformation, and loading activities across reporting environments.</p><p>• Monitor data quality through validation checks, issue resolution, and routine audits to maintain accuracy and reliability.</p><p>• Administer BI platforms with attention to performance, access control, and system stability while assisting users with adoption and training.</p><p><br></p><p>For immediate consideration, apply now and direct message Reid Gormly on LinkedIn</p>
  • 2026-09-09T00:00:00Z
Agent Platform Engineer
  • Los Angeles, California
  • onsite
  • Permanent / Full Time
  • 200000 - 300000 USD / Yearly
  • <p><strong>Software Engineer</strong></p><p><br></p><p><strong>Company Overview</strong></p><p>A leading artificial intelligence and advanced analytics organization is seeking an Software 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.</p><p><br></p><p><strong>Role Summary</strong></p><p>The Software 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.</p><p><br></p><p><strong>Key Responsibilities</strong></p><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><p><strong>Additional Details</strong></p><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>
  • 2026-09-24T00:00:00Z
Machine Learning Engineer
  • Los Angeles, California
  • onsite
  • Permanent / Full Time
  • 200000 - 260000 USD / Yearly
  • RESPONSIBILITIES:<br>ML Model Deployment &amp; Platform Management<br>• Lead the design, implementation, and ongoing maintenance of scalable ML infrastructure on Databricks, including ML flow for experiment tracking, model registry, and model serving endpoints.<br>• Oversee the development of the ML Ops platform and automated pipelines for deploying, monitoring, and maintaining models within production environments.<br>• Implement robust solutions for model versioning, systematic retraining, and comprehensive artifact management using Databricks Unity Catalog for ML governance.<br>• Design and manage Databricks Feature Store for consistent feature engineering across training and inference pipelines.<br>Generative AI &amp; LLM Operations<br>• Architect and implement Retrieval-Augmented Generation (RAG) systems for document Q&amp;A, enabling business teams to query fund documents, investor letters, and market research.<br>• Design, deploy, and manage vector database solutions (Databricks Vector Search, Pinecone, or similar) for semantic search and retrieval across enterprise documents.<br>• Lead LLM fine-tuning and customization initiatives, training models like Claude or open-source alternatives with CIM proprietary data while ensuring data privacy and compliance.<br>• Develop and optimize document processing pipelines including PDF parsing, chunking strategies, and embedding generation for RAG applications.<br>• Implement prompt engineering best practices and LLM evaluation frameworks to ensure output quality, relevance, and factual accuracy.<br>• Build guardrails and safety measures for GenAI applications, including hallucination detection, output validation, and source attribution.<br>Automation &amp; CI/CD Pipelines<br>• Design and implement extensive automation across the ML workflow, covering model training, testing, validation, and deployment using Databricks Workflows and Asset Bundles.<br>• Set up robust CI/CD pipelines for both traditional ML models and GenAI applications, leveraging GitHub Actions, Azure DevOps, or similar tools.<br>• Automate complex data and model workflows utilizing orchestration tools such as Airflow, Prefect, or Databricks Workflows.
  • 2026-09-02T00:00:00Z
Machine Learning Engineer
  • Los Angeles, California
  • onsite
  • Permanent / Full Time
  • 200000 - 300000 USD / Yearly
  • <p><strong>Machine Learning Engineer</strong></p><p><br></p><p><strong>Company Overview</strong></p><p>Based 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.</p><p><br></p><p><strong>Role Summary</strong></p><p>The 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.</p><p><br></p><p><strong>Key Responsibilities</strong></p><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><p><strong>Additional Details</strong></p><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>
  • 2026-09-24T00:00:00Z
Data Loss Prevention Security Administrator
  • Los Angeles, California
  • remote
  • Permanent / Full Time
  • 150000 - 165000 USD / Yearly
  • <p><strong>Job Title</strong></p><p>Data Loss Prevention (DLP) Engineer</p><p><br></p><p><strong>Company Overview</strong></p><p>A globally recognized professional services organization based in Los Angeles, California, with offices across major U.S. cities, is committed to delivering high-impact services in a highly regulated, client-centric environment. The organization prioritizes data protection, security, and compliance, leveraging advanced technology to safeguard sensitive information across a complex, distributed enterprise. Their technology teams play a critical role in maintaining trust, confidentiality, and operational excellence.</p><p><br></p><p><strong>Role Summary</strong></p><p>The DLP Engineer will serve as the dedicated owner of the enterprise Data Loss Prevention program, supporting a distributed workforce anchored in Los Angeles, California. This role is responsible for designing, implementing, and optimizing DLP strategies to protect sensitive data across endpoint, network, email, and cloud environments. The position is highly collaborative, working closely with IT, security teams, and business stakeholders to ensure secure data handling and regulatory compliance.</p><p><br></p><p><strong>Key Responsibilities</strong></p><ul><li>Design, implement, and manage enterprise DLP solutions across endpoint, network, email, and cloud platforms</li><li>Develop, tune, and maintain DLP policies, rules, and classifiers to detect and prevent data loss</li><li>Monitor DLP alerts, investigate potential data incidents, and support incident response processes</li><li>Partner with cross-functional teams to align DLP controls with business requirements and data protection policies</li><li>Integrate DLP systems with security tools such as SIEM and endpoint detection platforms</li><li>Support data classification initiatives and enforce secure data handling standards</li><li>Optimize DLP performance by reducing false positives and improving detection accuracy</li><li>Manage DLP coverage for collaboration and cloud tools including productivity and file-sharing platforms</li><li>Produce reports and metrics on DLP activity, risks, and program effectiveness</li><li>Collaborate with stakeholders on compliance requirements, audits, and data privacy initiatives</li></ul><p><strong>Compensation &amp; Benefits</strong></p><ul><li>$150,000–$160,000 + discretionary bonus</li><li>Comprehensive medical, dental, and vision coverage</li><li>401(k) with employer contributions and profit-sharing plan</li><li>Paid vacation, sick time, and personal days</li><li>Competitive benefits package supporting overall well-being</li></ul><p><strong>Additional Details</strong></p><ul><li>Remote work environment aligned to core collaboration hours</li><li>Must be located near a major company office for occasional in-person needs: Atlanta, Austin, Boston, Chicago, Dallas, Houston, Los Angeles (HQ in DTLA), Miami, New York, Salt Lake City, San Francisco, Seattle, Silicon Valley, Washington D.C., Wilmington</li><li>Structured schedule aligned with standard business hours</li><li>High-impact role within a centralized information security team</li></ul>
  • 2026-09-23T00:00:00Z