<p><strong>Cybersecurity Manager</strong></p><p><br></p><p><strong>Company Overview</strong></p><p>A mission-driven organization based in the San Fernando Valley, California provides essential services and resources throughout the region. The organization supports a large, distributed workforce and maintains a highly regulated technology environment where information security, privacy, and operational resilience are critical. This is an opportunity to help shape and mature an enterprise cybersecurity program while making a meaningful impact within a community-focused organization.</p><p><br></p><p><strong>Role Summary</strong></p><p>The Cybersecurity Manager will lead the organization’s enterprise information security program while remaining actively involved in day-to-day security operations and engineering. This role will oversee cybersecurity strategy, Azure and Microsoft security, vulnerability management, incident response, identity and access management, compliance, and third-party security services. The ideal candidate is a hands-on cybersecurity leader who can balance strategic program development with technical execution while developing a growing team.</p><p><br></p><p><strong>Key Responsibilities</strong></p><ul><li>Develop and execute a multi-year cybersecurity strategy, roadmap, and program maturity plan aligned with organizational risk and business priorities.</li><li>Lead security operations across cloud, identity, endpoint, email, data protection, vulnerability management, and network security.</li><li>Strengthen security across Microsoft Azure and the broader Microsoft security ecosystem, including identity, endpoint, SIEM, device management, and data protection capabilities.</li><li>Own vulnerability management processes, including identification, prioritization, remediation tracking, reporting, and continuous improvement.</li><li>Develop and mature incident response processes, coordinate investigations, lead root-cause analysis, and oversee remediation activities.</li><li>Establish and maintain security policies, standards, controls, risk assessments, and compliance documentation.</li><li>Lead security governance and compliance initiatives within a HIPAA-regulated environment, including audit readiness and control effectiveness.</li><li>Partner with IT and business stakeholders to embed security into system design, infrastructure standards, change management, and emerging technology initiatives.</li><li>Manage security vendors, managed service providers, external assessments, penetration testing, and continuous monitoring relationships.</li><li>Lead, mentor, and develop technical team members while establishing security KPIs, reporting, training, and awareness programs.</li></ul><p><strong>Additional Details</strong></p><ul><li>Work model: On-site for the first 90 days, transitioning to a hybrid schedule with up to two remote days per week</li><li>Leadership responsibility for systems and infrastructure professionals</li><li>Approximately 60% hands-on technical work, 20% team leadership, and 20% vendor/service-provider management</li><li>Opportunity to significantly influence cybersecurity strategy, tooling, processes, and long-term program maturity</li><li>Current initiatives include privileged access management, incident response maturity, vulnerability management, email security, AI governance, and expanded use of enterprise security capabilities</li></ul>
<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>
<p><strong>Security Architect</strong></p><p>Location: Southern California</p><p>Compensation: $190,000–$220,000 base salary</p><p>Employment Type: Full-Time</p><p>Build Security Into the Future of Technology</p><p>We’re looking for a Security Architect to serve as a senior technical authority across enterprise information security. This is an opportunity to shape how security is designed, implemented, and governed across a complex, global technology environment.</p><p>You’ll partner closely with infrastructure, cloud, application, data, and business teams to bring a security-by-design mindset to technology decisions — while also helping define the organization’s long-term security architecture strategy.</p><p>This role is ideal for someone who enjoys both big-picture architecture and hands-on technical problem solving, and who is excited about emerging technologies such as AI, machine learning, and agentic systems.</p><p>What You’ll Do</p><ul><li>Define and continuously improve the organization’s Security Architecture operating model, including engagement processes, services, and integration with technology delivery teams</li><li>Develop forward-looking security roadmaps aligned with business priorities, technology strategy, risk, and the evolving threat landscape</li><li>Establish and govern enterprise security standards, architectural principles, reference architectures, and reusable security patterns</li><li>Evaluate emerging technologies — including AI/ML and agentic systems — and develop appropriate security controls, governance, and risk-management approaches</li><li>Partner with technology teams during architecture reviews, solution design, technology selection, and major initiatives to embed security early in the lifecycle</li><li>Provide security architecture expertise across cloud, infrastructure, networking, applications, data, and identity</li><li>Assess proposed architectures and solutions against enterprise security standards, risk tolerance, and architectural requirements</li><li>Provide technical leadership around security tooling, integration, coverage, and enterprise capabilities</li><li>Help identify opportunities to leverage AI and automation to scale security architecture activities, including design analysis, documentation, and architecture reviews</li><li>Maintain awareness of regulatory and compliance requirements such as PCI, SOX, GDPR, and CCPA</li><li>Serve as a trusted Security Architecture SME for senior technology and business stakeholders</li></ul><p><br></p><p>Why This Opportunity?</p><p>This is more than a traditional security architecture role. You’ll have the opportunity to define architecture standards, influence enterprise technology strategy, modernize security practices, and help shape the organization’s approach to emerging technologies.</p><p><br></p><p>If you’re a Security Architect who wants to operate at both the strategic and technical levels, this is an opportunity to make a meaningful enterprise-wide impact.</p><p><br></p><p>For immediate consideration, Apply Now and direct message Reid Gormly on LinkedIn</p>
<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'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'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>
<p><strong>Network Engineer</strong></p><p><br></p><p><strong>Company Overview</strong></p><p>A growing organization based in Los Angeles, California is seeking an experienced Network Engineer to support and enhance its enterprise technology environment. This role offers the opportunity to work on modern infrastructure initiatives within a collaborative and fast-paced organization.</p><p><br></p><p><strong>Role Summary</strong></p><p>The Network Engineer will help design, maintain, and improve network infrastructure across multiple locations and technology environments. This role combines architecture, engineering, automation, troubleshooting, and operational support, with a focus on scalability, reliability, and security.</p><p><br></p><p><strong>Key Responsibilities</strong></p><ul><li>Design, implement, and maintain enterprise network infrastructure.</li><li>Support routing, switching, wireless, connectivity, and network security technologies.</li><li>Support network expansion, upgrades, and infrastructure projects.</li><li>Develop automation to improve network provisioning and operations.</li><li>Support cloud and hybrid networking environments.</li><li>Troubleshoot complex connectivity, availability, and performance issues.</li><li>Maintain technical documentation, monitoring, and operational standards.</li><li>Collaborate with infrastructure, security, and other technology teams.</li></ul><p><strong>Additional Details</strong></p><ul><li>Work model: Primarily on-site</li><li>Occasional travel may be required</li><li>Some on-call or after-hours support may be required</li></ul>
<p><strong>Senior Network Engineer</strong></p><p><br></p><p><strong>Company Overview</strong> </p><p>A growing organization is seeking a Senior Network Engineer to support and improve its enterprise infrastructure environment. This role offers the opportunity to work on network operations, infrastructure projects, and ongoing technology initiatives.</p><p><br></p><p><strong>Role Summary</strong> </p><p>The Senior Network Engineer will be responsible for maintaining, improving, and supporting enterprise network infrastructure. The role requires a combination of engineering, troubleshooting, project delivery, and collaboration with cross-functional technology teams.</p><p><br></p><p><strong>Key Responsibilities</strong></p><ul><li>Support and maintain enterprise network infrastructure and connectivity.</li><li>Participate in network upgrades, enhancements, and technology projects.</li><li>Troubleshoot complex infrastructure and connectivity issues.</li><li>Monitor network performance and recommend improvements.</li><li>Maintain technical documentation and operational procedures.</li><li>Collaborate with internal teams and external partners to support business needs.</li><li>Assist with network security, reliability, and operational initiatives.</li></ul><p><strong>Additional Details</strong></p><ul><li><strong></strong>Hybrid work environment</li><li>Full-time position</li><li>Participation in operational support activities may be required</li></ul>
<p><strong>Network Engineer</strong></p><p><br></p><p><strong>Company Overview</strong></p><p>A growing organization based in Los Angeles, California is seeking an experienced Network Engineer to support and enhance its enterprise technology environment. This role offers the opportunity to work on modern infrastructure initiatives within a collaborative and fast-paced organization.</p><p><br></p><p><strong>Role Summary</strong></p><p>The Network Engineer will help design, maintain, and improve network infrastructure across multiple locations and technology environments. This role combines architecture, engineering, automation, troubleshooting, and operational support, with a focus on scalability, reliability, and security.</p><p><br></p><p><strong>Key Responsibilities</strong></p><ul><li>Design, implement, and maintain enterprise network infrastructure.</li><li>Support routing, switching, wireless, connectivity, and network security technologies.</li><li>Support network expansion, upgrades, and infrastructure projects.</li><li>Develop automation to improve network provisioning and operations.</li><li>Support cloud and hybrid networking environments.</li><li>Troubleshoot complex connectivity, availability, and performance issues.</li><li>Maintain technical documentation, monitoring, and operational standards.</li><li>Collaborate with infrastructure, security, and other technology teams.</li></ul><p><strong>Additional Details</strong></p><ul><li>Work model: Primarily on-site</li><li>Occasional travel may be required</li><li>Some on-call or after-hours support may be required</li></ul>
<p>A rapidly growing, technology-driven organization is looking for a Senior Network Engineer to own the design, architecture, reliability, and scalability of network infrastructure across a complex, multi-site environment.</p><p><br></p><p>This is a high-impact opportunity for a senior networking professional who enjoys solving challenging infrastructure problems, building highly available environments, and introducing automation into network operations. You’ll have significant ownership over network architecture while partnering closely with infrastructure, security, IT, and operations teams.</p><p><br></p><p>What You’ll Do</p><ul><li>Own network architecture across data center, campus, multi-site, WAN, and cloud environments</li><li>Design scalable routing and switching architectures, including BGP, OSPF, segmentation, and route policy</li><li>Build and support VXLAN/EVPN spine-leaf fabrics, including VTEPs, VNIs, VRFs, and DCI</li><li>Lead new site deployments from topology design and capacity planning through production</li><li>Architect highly available connectivity, VPNs, firewall infrastructure, and redundant network paths</li><li>Drive network automation using Infrastructure-as-Code, GitOps, Terraform, Ansible, Python, and CI/CD</li><li>Contribute to Kubernetes and container networking</li></ul><p><br></p><p>Compensation & Benefits</p><ul><li>Incentive Stock Options (ISO)</li><li>100% employee coverage for medical, dental, vision, and life insurance</li><li>50% dependent insurance coverage</li><li>401(k)</li><li>Flexible/unlimited vacation policy</li><li>Relocation stipend available for qualified candidates relocating to the Los Angeles area</li><li>Significant opportunity to influence network architecture and infrastructure strategy</li></ul><p>Location & Travel</p><ul><li>Torrance, CA</li><li>Hybrid schedule with 3–4 days onsite per week</li><li>Candidates will be expected to work onsite during their first three weeks of onboarding</li><li>Approximately 10–20% travel for site deployments</li></ul><p><br></p><p>Work Authorization</p><p>Due to applicable U.S. government export-control requirements, candidates must meet applicable ITAR eligibility requirements, including being a U.S. citizen, lawful permanent resident, protected individual, or otherwise eligible to obtain the required authorizations.</p><p><br></p><p>If you’re a senior network engineer who wants genuine ownership of architecture, automation, and large-scale infrastructure—and wants to build networks that will support a rapidly scaling organization—this could be an excellent opportunity</p><p><br></p><p>Apply now for immediate consideration and direct message Reid Gormly on LinkedIN.</p>
<p><strong>Security Analyst</strong></p><p><br></p><p><strong>Company Overview</strong> </p><p>A manufacturing organization is seeking a Security Analyst to help protect its technology environment and strengthen cybersecurity operations. This role offers broad exposure to security monitoring, incident response, risk reduction, and security improvement initiatives.</p><p><br></p><p><strong>Role Summary</strong> </p><p>The Security Analyst will monitor and respond to security threats while helping maintain and improve enterprise security controls. The ideal candidate is hands-on, analytical, and comfortable working across security operations, vulnerability management, and incident response.</p><p><br></p><p><strong>Key Responsibilities</strong></p><ul><li>Monitor and investigate security alerts and suspicious activity.</li><li>Support incident response, investigation, and remediation efforts.</li><li>Maintain and improve security monitoring and protection technologies.</li><li>Identify vulnerabilities and coordinate remediation activities.</li><li>Support data protection, identity, endpoint, and cloud security initiatives.</li><li>Analyze security trends and recommend improvements to controls and processes.</li><li>Collaborate with technology teams on security and risk-reduction initiatives.</li></ul><p><strong>Additional Details</strong></p><ul><li>Work model: Primarily remote</li><li>Occasional travel may be required</li><li>Full-time position</li></ul>
<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>
<p><strong>Software Engineer, AI</strong></p><p><br></p><p><strong>Company Overview</strong> </p><p>A growing organization is seeking an AI Engineer to develop automation, data, and AI-driven solutions that improve business processes and operational efficiency. This role offers the opportunity to work on innovative projects while helping shape the organization's use of emerging technologies.</p><p><br></p><p><strong>Role Summary</strong> </p><p>The AI Engineer will design, build, and support AI-powered applications, automation solutions, and data-driven workflows. The ideal candidate combines strong software engineering skills with experience delivering practical AI solutions in a business environment.</p><p><br></p><p><strong>Key Responsibilities</strong></p><ul><li>Design, develop, and support AI-enabled applications and automation solutions.</li><li>Partner with business and technical teams to identify opportunities for process improvement.</li><li>Build integrations between AI solutions, data sources, and business applications.</li><li>Monitor solution performance and continuously improve reliability and effectiveness.</li><li>Develop and maintain technical documentation and best practices.</li><li>Support the evaluation and adoption of emerging AI technologies.</li></ul>
<p><strong>Senior Software Engineer</strong></p><p><br></p><p><strong>Company Overview</strong></p><p>A leading firm based in Los Angeles, California is seeking a Senior Software Engineer to join its technology organization. The firm manages a significant portfolio of institutional assets across credit, private investments, and other alternative strategies. Technology and AI are central to its ongoing innovation strategy, with continued investment in intelligent applications, automation, and data-driven solutions.</p><p><br></p><p><strong>Role Summary</strong></p><p>The Senior Software Engineer will be a hands-on full-stack developer responsible for building and supporting internal applications, AI-enabled solutions, enterprise integrations, and the Salesforce platform. This role will work closely with investment, operations, compliance, investor relations, accounting, and data teams to turn complex business processes into scalable technology solutions. </p><p><br></p><p><strong>Key Responsibilities</strong></p><ul><li>Design and develop applications that automate workflows across investment management, compliance, operations, accounting, and investor relations.</li><li>Build full-stack solutions using C#, .NET, SQL, Python, JavaScript/TypeScript, APIs, and modern development frameworks.</li><li>Develop and support AI-enabled applications, agent workflows, document processing, and intelligent automation solutions.</li><li>Configure and enhance Salesforce, including objects, fields, flows, validation rules, security, integrations, and light custom development.</li><li>Build integrations between Salesforce, internal applications, data platforms, and third-party systems using APIs, ETL, messaging, and automation.</li><li>Develop data and document processing workflows that extract, validate, transform, and load information into enterprise systems.</li><li>Partner directly with investment and business teams to translate domain expertise into repeatable, automated workflows.</li><li>Support reporting and analytics initiatives while maintaining data quality and consistency across connected systems.</li><li>Troubleshoot production applications and integrations, perform root-cause analysis, and implement long-term solutions.</li><li>Apply AI-assisted engineering practices to accelerate development, testing, documentation, and process automation.</li></ul><p><strong>Additional Details</strong></p><ul><li>Work model: Hybrid, three days onsite per week</li><li>Quarterly travel may be required</li><li>Opportunity to join an organization with an established investment in AI and help build the next generation of internal AI capabilities</li><li>Direct collaboration with senior technology leadership and investment professionals</li></ul>
We are looking for a Business Intelligence Engineer to help strengthen and scale a modern analytics environment in Los Angeles, California. This position will focus on transforming raw data into dependable business insights through thoughtful modeling, reliable pipelines, and well-designed reporting solutions. The ideal candidate brings strong experience with Snowflake, dbt, and Power BI, along with the ability to translate complex operational data into clear metrics that support leadership and cross-functional teams.<br><br>Responsibilities:<br>• Design and maintain semantic models that support reporting needs across operational and executive audiences.<br>• Build scalable dimensional and subject-focused data models that reflect key business areas such as sales, marketing, finance, compliance, and contact center performance.<br>• Define and standardize metrics, calculation logic, and KPI frameworks to improve consistency across dashboards and analytics outputs.<br>• Develop transformation workflows in Snowflake using dbt, organizing data into staging, core, and presentation-ready layers.<br>• Establish and enhance testing practices to validate schema integrity, data accuracy, and business rule alignment.<br>• Oversee scheduling and orchestration of data workflows to support dependable movement from ingestion through reporting delivery.<br>• Investigate source data issues through profiling and discovery, identifying gaps that affect reporting quality and downstream trust.<br>• Create and improve Power BI dashboards that present actionable insights for stakeholders across the organization.
<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>
We are looking for a Data Engineer to join a team in Santa Monica, California on a Long-term Contract assignment. This position focuses on building dependable data solutions that connect multiple sources, support reporting needs, and improve access to trusted business information. The role offers a blend of pipeline development, dashboard ownership, data quality work, and cross-functional collaboration with partner teams.<br><br>Responsibilities:<br>• Design, validate, and release data pipelines that bring together information from varied source systems within an existing ingestion environment.<br>• Create and support connections to external platforms, APIs, and vendor tools so data remains current, consistent, and available for analysis.<br>• Oversee daily pipeline health, investigate processing issues, and partner with senior engineers to address failures and improve reliability.<br>• Develop and maintain roughly 10 business intelligence dashboards used by 2 to 3 stakeholder groups, keeping reporting useful and aligned with team needs.<br>• Improve dashboard quality by reviewing accuracy, optimizing performance, enhancing usability, and retiring reports that no longer provide value.<br>• Write and maintain data validation checks, including tests at the source level to strengthen data quality and reduce downstream issues.<br>• Support data modeling and transformation efforts using dbt to prepare clean, well-structured datasets for analytics and reporting.<br>• Handle ad hoc data requests submitted through an intake process, providing timely answers to business questions with clear supporting analysis.<br>• Produce and update documentation for pipelines, reporting assets, and operational workflows to promote maintainability and knowledge sharing.<br>• Take part in peer code review by submitting thoughtful feedback and incorporating suggestions to maintain strong engineering standards.
<p>We are seeking a hands-on IT Field Infrastructure Technician to support the deployment, maintenance, and ongoing operation of technology infrastructure across multiple locations. This role is responsible for installing and configuring network equipment, setting up end-user devices, supporting site openings, and providing on-site technical support.</p><p>The ideal candidate enjoys working in the field, troubleshooting hardware and network issues, and collaborating with both technical and non-technical stakeholders to ensure reliable technology operations.</p><p><br></p><p>Key Responsibilities: </p><p><strong>Infrastructure Deployment</strong></p><ul><li>Install and configure firewalls, switches, wireless access points, and network-connected devices</li><li>Coordinate ISP circuit activations and configure basic network services (VLANs, DHCP, DNS)</li><li>Deploy laptops, printers, VoIP phones, displays, and backup power systems</li><li>Validate infrastructure readiness prior to site go-live</li></ul><p><strong>Field Support</strong></p><ul><li>Travel to locations to troubleshoot network, hardware, and connectivity issues</li><li>Replace and reconfigure equipment as needed</li><li>Support hardware refreshes and technology lifecycle initiatives</li><li>Maintain accurate network and asset documentation</li></ul><p><strong>IT Support</strong></p><ul><li>Provision, image, and deploy endpoint devices</li><li>Support Microsoft 365 workstation setup and user onboarding</li><li>Collaborate with internal and outsourced support teams on escalations</li><li>Assist with asset management and inventory tracking</li></ul>
<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>
<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 & 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>