We are looking for a Systems Engineer to support and strengthen the technology environment for a dynamic school community in Newport Beach, California. This role focuses on keeping core infrastructure stable, secure, and well maintained while also delivering responsive technical support for users and classrooms. The ideal candidate brings strong hands-on networking experience, a service-oriented mindset, and the ability to manage both daily operations and longer-term improvement initiatives.<br><br>Responsibilities:<br>• Oversee the performance and upkeep of wired and wireless infrastructure by deploying, configuring, validating, and documenting network equipment in alignment with established technical designs.<br>• Support daily network operations to promote dependable connectivity and minimize service interruptions across campus systems.<br>• Review system activity, alerts, and performance data to identify issues early and maintain overall network health.<br>• Administer access controls, security configurations, and user account setup across systems to protect resources and ensure appropriate permissions.<br>• Use security and vulnerability management tools to evaluate risk, monitor exposure, and help maintain a secure technology environment.<br>• Execute infrastructure and systems projects involving hardware installation, software deployment, testing, and integration while coordinating work to avoid disruption to existing services.<br>• Maintain clear technical records covering system setups, network layouts, and troubleshooting procedures in collaboration with technology leadership.<br>• Provide hands-on support to faculty, staff, and students for technology-related needs, including event support, help desk requests, and resolution of hardware or software issues.<br>• Partner with the broader Technology Team on data stewardship, continuous improvements, and other assigned initiatives that enhance school operations.<br>• Assist with desktop, printer, and mobile device support across Windows, Mac, iOS, and Android environments as needed.
<p><strong>Systems Engineer</strong></p><p><br></p><p><strong>Overview</strong></p><p>An organization is seeking a Systems Engineer to support enterprise cloud technologies, business applications, automation initiatives, and IT infrastructure operations. This individual will help improve system reliability, streamline operational processes, and support ongoing technology modernization efforts across the organization.</p><p><br></p><p><strong>Responsibilities</strong></p><ul><li>Administer and support enterprise cloud and collaboration platforms</li><li>Develop and maintain automation solutions to improve operational efficiency</li><li>Support identity and access management initiatives</li><li>Manage endpoint technologies and related platform services</li><li>Assist with system integrations and application support efforts</li><li>Monitor platform performance, availability, and operational health</li><li>Troubleshoot infrastructure, cloud, and application-related issues</li><li>Create and maintain technical documentation and operational procedures</li><li>Collaborate with technical teams and business stakeholders on technology initiatives</li><li>Identify opportunities for process improvement, automation, and operational excellence</li></ul>
We are looking for a Systems Engineer to support and enhance core infrastructure operations for a restaurant and catering organization in Signal Hill, California. This Long-term Contract position focuses on maintaining reliable server, identity, messaging, and remote access environments while helping teams resolve complex technical issues. The role is well suited for someone who is comfortable working across Microsoft-based systems and delivering stable, secure platform support in a fast-paced business setting.<br><br>Responsibilities:<br>• Administer and support Active Directory and Azure Active Directory environments, including user access, group policies, and directory health.<br>• Maintain Microsoft Windows Server infrastructure to ensure strong performance, availability, and security across business systems.<br>• Provide ongoing support for Citrix technologies, resolving access issues and improving the end-user experience for remote and on-site teams.<br>• Manage Microsoft Exchange operations, including mailbox administration, service reliability, and issue resolution.<br>• Monitor system performance, troubleshoot infrastructure problems, and implement corrective actions to minimize downtime.<br>• Partner with internal technology teams to apply updates, strengthen security controls, and maintain system documentation.<br>• Assist with infrastructure-related projects and operational improvements as needed, including work tied to platform or environment changes.<br>• Deliver technical support and root-cause analysis for escalated server, directory, and messaging incidents.
<p><strong>Network Engineer</strong></p><p><br></p><p><strong>Overview</strong></p><p>An organization is seeking a Network Engineer to support enterprise network infrastructure, end-user technology services, and operational technology environments. This role combines network engineering responsibilities with hands-on technical support and requires an individual who enjoys working across infrastructure, systems, connectivity, and user-facing technology challenges. The ideal candidate will possess strong networking expertise, a customer-service mindset, and the ability to support distributed locations while helping maintain secure, reliable, and scalable technology operations.</p><p><br></p><p><strong>Responsibilities</strong></p><p><em>Network Engineering</em></p><ul><li>Design, implement, and maintain enterprise network infrastructure</li><li>Support network availability, performance, redundancy, and security initiatives</li><li>Manage network hardware lifecycle, upgrades, and deployments</li><li>Monitor network performance and troubleshoot connectivity issues</li><li>Implement security controls and assist with cybersecurity best practices</li><li>Maintain network documentation, diagrams, and technical standards</li><li>Investigate and resolve complex infrastructure incidents</li><li>Participate in network modernization and continuous improvement efforts</li></ul><p><em>Technical Support</em></p><ul><li>Provide Tier 1 and Tier 2 support for end users across multiple locations</li><li>Troubleshoot hardware, software, network, and access-related issues</li><li>Manage incidents and service requests through a ticketing system</li><li>Escalate issues appropriately while maintaining ownership through resolution</li><li>Communicate technical concepts clearly to non-technical users</li><li>Develop and maintain user documentation and knowledge-base articles</li><li>Identify opportunities to reduce recurring support issues through process improvement</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>We are seeking a hands-on Endpoint Engineer to support our transition from Active Directory/Hybrid environments to fully cloud-managed Microsoft Entra ID and Intune. This role will focus on endpoint migrations, device management, security, and delivering exceptional end-user support.</p><p><br></p><p>Responsibilities</p><ul><li>Migrate Windows devices from AD/Hybrid Join to Microsoft Entra ID Join.</li><li>Administer and optimize Microsoft Intune, including device enrollment, compliance policies, app deployments, and configuration profiles.</li><li>Support Windows Autopilot, Conditional Access, and Microsoft Defender for Endpoint.</li><li>Deploy, image, and migrate Windows 10/11 workstations, including user profiles, OneDrive, applications, and printers.</li><li>Manage BYOD, MDM/MAM, and mobile devices (iOS and Android) through Intune.</li><li>Support Microsoft 365, Active Directory, Entra ID, BitLocker, and Windows Hello for Business.</li><li>Provide white-glove support to end users, executives, and professional staff.</li><li>Create technical documentation, user guides, and training materials.</li></ul>
<p><strong>Security Engineer</strong></p><p><br></p><p><strong>Overview</strong></p><p>A leading global professional services organization is seeking a Security Engineer with Third-Party Risk experience.</p><p><br></p><p>The Security Engineer plays a critical role in safeguarding the organization’s ecosystem by evaluating the security posture of external vendors and partners. This role focuses on conducting technical risk assessments across SaaS platforms, cloud environments, and hosted services while ensuring compliance with industry standards and client expectations. Based remotely, this position partners closely with IT security leadership and cross-functional stakeholders to mitigate risk and strengthen third-party security practices.</p><p><br></p><p><strong>Key Responsibilities</strong></p><ul><li>Conduct technical security assessments of third-party vendors across SaaS platforms, cloud infrastructure, and hosted services</li><li>Evaluate vendor security controls, including access management, encryption, and data protection practices</li><li>Review vendor documentation such as SOC 2 reports, ISO certifications, and security testing results</li><li>Assess cloud environments (AWS, Azure, GCP) for security configurations, segmentation, and identity controls</li><li>Analyze API security, including authentication methods, data transmission, and vulnerability risks</li><li>Evaluate DevSecOps maturity, including secure development practices and CI/CD pipeline security</li><li>Track and manage vendor risk findings, ensuring remediation efforts are completed in a timely manner</li><li>Support client-facing security activities, including questionnaires, audits, and compliance reviews</li><li>Collaborate with internal stakeholders to align vendor security with regulatory requirements (e.g., GDPR, CCPA)</li><li>Prepare risk reports and present key findings to leadership and cross-functional teams</li></ul><p><strong>Additional Details</strong></p><ul><li>Remote (must reside in proximity to a supported office region)</li><li>Core hours: 8:00 AM – 4:00 PM PT (7-hour workday)</li><li>Occasional travel may be required for vendor assessments</li><li>Collaborative environment with direct exposure to senior leadership and security stakeholders</li></ul>
<p>We are looking for an experienced AI Infrastructure Project Manager to oversee the delivery of a sophisticated data center project in Southern California. This role guides the work from early planning through commissioning and operational readiness, partnering with contractors, engineers, suppliers, and internal infrastructure teams. The ideal candidate brings strong on-site leadership, technical fluency across mission-critical systems, and the ability to keep complex workstreams aligned in a fast-moving environment.</p><p><br></p><p>Responsibilities:</p><p>• Build and manage a master project timeline that ties together permitting, construction activity, equipment procurement, installation milestones, testing, and final handoff.</p><p>• Monitor schedule performance, identify risks to key milestones, and drive corrective actions when progress slips.</p><p>• Lead daily coordination across builders, design partners, vendors, and internal teams to keep execution aligned with project goals.</p><p>• Oversee technical documentation workflows, including design reviews, RFIs, submittals, revisions, and approval tracking through completion.</p><p>• Follow the status of major electrical, mechanical, and technology equipment orders to prevent procurement delays from affecting site progress.</p><p>• Work with utility providers, permitting agencies, and specialty consultants to secure required approvals and maintain project momentum.</p><p>• Align facility and technology stakeholders on infrastructure and equipment needs early enough to support design development and field installation.</p><p>• Maintain organized records of decisions, project risks, ownership assignments, action items, and target dates.</p><p>• Conduct regular site reviews to confirm work quality and progress, then resolve field issues with the appropriate partners.</p><p>• Coordinate commissioning, acceptance testing, turnover documentation, and the transition of the facility into operational use.</p>
We are looking for an experienced infrastructure architect to lead the design of large-scale environments that support AI model training, inference, and high-performance computing in Irvine, California. This role blends deep technical expertise with practical decision-making across compute, networking, storage, and data center infrastructure, ensuring solutions are scalable, resilient, and ready for production. The position works closely with engineering, operations, vendors, and facilities teams to turn workload demands and site constraints into well-defined, deployable architectures.<br><br>Responsibilities:<br>• Architect end-to-end data center solutions for AI and HPC environments, aligning compute, interconnect, storage, and management systems into a cohesive platform.<br>• Convert workload profiles, growth forecasts, and site limitations into detailed infrastructure designs that support performance, reliability, and future expansion.<br>• Assess rack-scale platforms and hardware configurations to determine the best fit for resiliency, operational efficiency, and long-term scalability.<br>• Design network frameworks for compute, storage, user, and administrative traffic with careful attention to bandwidth, failover, and overall fabric performance.<br>• Define storage strategies based on throughput, latency, capacity, and application behavior to meet demanding AI and HPC requirements.<br>• Produce detailed equipment specifications and bills of materials covering hardware components, connectivity, software, support agreements, and spare inventory.<br>• Review vendor and integrator proposals to confirm technical completeness, pricing accuracy, and alignment with architectural requirements.<br>• Partner with manufacturers, OEMs, and integration providers during technical assessments and contribute expertise during commercial discussions.<br>• Establish rack layouts, cabling plans, service access considerations, and facility requirements including power, cooling, weight, and floor space.<br>• Create validation standards for benchmarking, reliability testing, and operational acceptance before systems are released into production.
<p><strong>Software Engineer</strong></p><p><br></p><p><strong>Company Overview</strong></p><p>A leading organization is seeking a Software Engineer to help develop next-generation AI platforms. 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. 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>
We are looking for an Artificial Intelligence (AI) Engineer to join a team building intelligent applications and production-ready AI services in Irvine, California. This role combines software engineering, applied AI development, and operational ownership, with a focus on creating reliable user-facing tools and scalable backend systems. The ideal candidate brings hands-on experience with modern language model platforms, strong Python development skills, and the ability to translate business goals into practical AI solutions.<br><br>Responsibilities:<br>• Create and launch web-based products, AI-powered services, and multi-step agent workflows that support complex tool interactions and orchestration.<br>• Develop and support integrations with Anthropic platforms and Claude capabilities, including streaming responses, prompt optimization, caching strategies, and tool-enabled model behavior.<br>• Craft, refine, and assess prompts to improve consistency, safety, response quality, and cost performance across AI-driven features.<br>• Build backend REST APIs in Python and deliver front-end functionality in React and TypeScript to support AI-enabled user experiences.<br>• Manage deployment operations for AI systems by maintaining containerized services, delivery pipelines, cloud environments, and runtime monitoring.<br>• Design and tune database interactions for relational systems to ensure efficient querying and dependable application performance.<br>• Establish automated testing approaches for both standard software logic and probabilistic AI behavior, including evaluation workflows and regression coverage.<br>• Partner with technical and business stakeholders to convert operational needs into effective AI-based solutions and product enhancements.<br>• Produce clear technical documentation covering system architecture, prompt strategy, and the expected behavior and limitations of AI agents.
We are looking for an Artificial Intelligence (AI) Engineer to create intelligent applications and production-ready AI services that deliver measurable business value. This role is based in Irvine, California, and blends backend engineering, frontend development, and operational ownership to bring AI capabilities into real-world products. The ideal candidate is comfortable building agent-based workflows, shaping reliable prompt strategies, and partnering with stakeholders to turn complex needs into practical technical solutions.<br><br>Responsibilities:<br>• Create and launch web-based products, AI-enabled services, and multi-step agent workflows that support complex tool interactions and orchestrated decision-making.<br>• Develop and support integrations with leading language model platforms, including capabilities such as streaming responses, prompt optimization, tool invocation, and cached interactions.<br>• Craft, refine, and assess prompts to improve output quality while balancing consistency, safety considerations, and usage cost.<br>• Build Python-based REST APIs and React/TypeScript user interfaces that expose AI functionality in a scalable and user-friendly way.<br>• Manage deployment and operational processes for AI systems, including container builds, automated delivery pipelines, cloud hosting, and runtime observability.<br>• Design and optimize database queries for relational data stores to ensure strong performance and dependable access patterns.<br>• Establish testing approaches for both predictable application logic and variable AI behavior through evaluation harnesses, regression coverage, and automated validation.<br>• Work closely with cross-functional partners to define use cases, align technical choices with business priorities, and deliver effective AI-backed solutions.<br>• Produce and maintain clear technical documentation covering system architecture, prompt strategy, and the expected behavior and limitations of AI agents.
<p>We are looking for a Data Governance Engineer to support the implementation, administration, and continuous improvement of enterprise data governance capabilities across a modern cloud data platform. This role will work closely with data platform, security, and product teams to translate governance requirements into scalable technical solutions that improve data security, accessibility, quality, and compliance.</p><p><br></p><p><strong>Key Responsibilities:</strong></p><p>· Administer and configure Snowflake security and governance capabilities, including RBAC, dynamic masking, and object tagging.</p><p>· Implement, maintain, and troubleshoot access governance controls within Immuta and other governance platforms.</p><p>· Configure and monitor data quality checks, alerting mechanisms, and governance-related operational processes.</p><p>· Maintain, enrich, and optimize enterprise data catalog content to improve discoverability, classification, and metadata quality.</p><p>· Support the adoption and enhancement of AI-assisted data documentation and description generation tools.</p><p>· Partner with engineering teams to test, validate, and deploy ingest-time data tagging and metadata management solutions.</p><p>· Collaborate with program and product stakeholders to translate governance policies, security requirements, and compliance standards into technical implementations.</p><p>· Support governance operations, incident resolution, root cause analysis, and continuous process improvement initiatives.</p><p>· Participate in evaluations, testing, and implementation of new governance, catalog, quality, and security technologies.</p>
<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. </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>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>We're looking for a hands-on SAN L3 Engineer to support and administer enterprise storage infrastructure in a high-availability production environment. This role is ideal for someone who enjoys solving complex storage issues, optimizing performance, and partnering with server, virtualization, and network teams to keep critical systems running smoothly.</p><p><br></p><p><strong>What You'll Be Doing</strong></p><ul><li>Provide Level 3 support for enterprise SAN and storage environments</li><li>Troubleshoot storage outages, performance bottlenecks, and connectivity issues</li><li>Manage Dell EMC PowerMax, Unity, and Data Domain platforms</li><li>Perform storage provisioning, LUN masking, zoning, replication, snapshots, and migrations</li><li>Support VMware environments, including vSphere, ESXi, and vCenter integrations</li><li>Monitor capacity, utilization, and storage health while identifying optimization opportunities</li><li>Partner with infrastructure, server, network, and application teams to resolve incidents</li><li>Participate in upgrades, patching, change management, and disaster recovery initiatives</li><li>Support backup and recovery operations and ensure business continuity readiness</li><li>Maintain storage documentation, SOPs, and operational runbooks</li><li>Participate in on-call support and critical incident response activities</li></ul><p><br></p>
<p><strong>Cloud Security Engineer</strong></p><p><br></p><p><strong>Company Overview</strong></p><p>A firm based in Los Angeles, California is seeking a 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>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 across cloud environments, identity and access management, network security, data protection, and overall security architecture.</li><li>Partner with technology teams to implement and maintain secure solutions for enterprise applications, data platforms, and infrastructure.</li><li>Review system and application security configurations, architecture, and integrations before production deployment.</li><li>Monitor, investigate, and respond to cybersecurity incidents across enterprise systems and platforms.</li><li>Lead vulnerability management activities, including risk identification, remediation coordination, patching, and ongoing security improvements.</li><li>Support identity and access management initiatives, including authentication, authorization, and privileged access controls.</li><li>Enhance security monitoring, detection, alerting, and incident response capabilities.</li><li>Help automate and standardize security controls and operational processes.</li><li>Conduct security assessments and collaborate with internal and external stakeholders to identify and reduce risk.</li><li>Support governance, risk, compliance, audit, resiliency, and business continuity initiatives.</li></ul>
<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>
<p>Lead Data Engineer</p><p>Salary: Up to $160,000 Location:</p><p>On-Site | South Los Angeles Area</p><p>Employment Type: Full-Time</p><p><br></p><p>Build the Foundation for Enterprise Analytics</p><p><br></p><p>We are seeking a Lead Data Engineer to drive the architecture, modernization, and expansion of a growing enterprise data platform built within the Microsoft Azure ecosystem. This is a highly visible technical leadership role where you'll help shape the future of data across multiple business functions by building scalable, secure, and high-performing data solutions.</p><p><br></p><p>If you're passionate about Databricks, cloud data platforms, and mentoring engineering teams while remaining hands-on with development, this is an opportunity to make a significant impact.</p><p><br></p><p>What You'll Do</p><ul><li>Lead the design, implementation, and optimization of an enterprise Azure Databricks Lakehouse environment utilizing Bronze, Silver, and Gold data layers.</li><li>Architect and execute migrations from SQL Server and legacy platforms into modern cloud-native data solutions.</li><li>Develop and optimize large-scale ETL/ELT pipelines supporting operational reporting, business intelligence, advanced analytics, and data science initiatives.</li><li>Integrate data from multiple enterprise systems, APIs, operational platforms, and third-party sources.</li><li>Establish best practices for data engineering, data modeling, testing, CI/CD, monitoring, governance, and production support.</li><li>Implement and maintain data governance frameworks, security controls, lineage tracking, and access management.</li><li>Lead code reviews, technical design discussions, and engineering standards across the data team.</li><li>Mentor and support data engineers while fostering a culture of technical excellence.</li><li>Partner closely with business stakeholders, analysts, and data scientists to deliver trusted, scalable data products.</li></ul><p>For immediate consideration, apply now and direct message Reid Gormly on LINKEDIN</p>
<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>Security Architect</strong></p><p><br></p><p><strong>Company Overview</strong></p><p>A growing organization is seeking a Security Architect to support enterprise security initiatives across infrastructure, applications, cloud services, and business systems. This role offers an opportunity to work within a collaborative technology environment focused on modernizing security practices and enabling business growth through secure technology solutions.</p><p><br></p><p><strong>Role Summary</strong></p><p>The Security Architect will play a key role in shaping and advancing the organization's security program. This individual will work closely with technology and business stakeholders to establish security standards, provide architectural guidance, assess risk, and support the secure adoption of new technologies. The ideal candidate combines strategic thinking with hands-on technical expertise and enjoys solving complex security challenges across a diverse technology environment.</p><p><br></p><p><strong>Key Responsibilities</strong></p><ul><li>Develop and maintain security architecture standards, guidelines, and best practices.</li><li>Partner with technology teams to integrate security considerations into projects and operational initiatives.</li><li>Evaluate systems, platforms, and technology solutions to identify and address security risks.</li><li>Provide architectural guidance for cloud, infrastructure, application, and data protection initiatives.</li><li>Support the development of security roadmaps aligned with business and technology objectives.</li><li>Conduct architecture reviews and recommend security improvements across enterprise environments.</li><li>Assist in establishing governance processes, security controls, and risk management practices.</li><li>Collaborate with stakeholders to improve cybersecurity maturity and operational effectiveness.</li><li>Support the evaluation and adoption of emerging technologies and security solutions.</li><li>Contribute to continuous improvement initiatives that strengthen the organization's overall security posture.</li></ul>
<p>We're seeking a hands-on Senior Data Engineer to lead the design, optimization, and evolution of a growing data platform. This role will focus on building scalable data pipelines, improving data quality, optimizing database performance, and supporting enterprise reporting and analytics initiatives. <strong>This role is FULLY ONSITE in Newport Beach, CA</strong></p><p><br></p><p>What You'll Do</p><ul><li>Design and maintain scalable ETL/ELT pipelines</li><li>Optimize PostgreSQL databases and complex SQL workloads</li><li>Lead data migration and integration efforts from legacy systems</li><li>Build data quality, validation, and deduplication processes</li><li>Develop solutions within a cloud data warehouse environment (Snowflake)</li><li>Implement monitoring, alerting, and reliability best practices</li><li>Partner with business and technical stakeholders to deliver trusted data solutions</li></ul><p><br></p>
<p>Our client is seeking a Senior Cybersecurity Engineer to lead security engineering, architecture, and operational security initiatives across enterprise systems, cloud platforms, and critical infrastructure environments. This role combines hands-on technical expertise with strategic security leadership. </p><p><br></p><p><strong>What You'll Be Doing</strong></p><ul><li>Assess and improve the organization's overall cybersecurity posture</li><li>Lead vulnerability management, remediation efforts, and security risk assessments</li><li>Design and implement enterprise security architectures and controls</li><li>Manage and optimize security technologies including SIEM, SOAR, XDR, EDR, IAM, and DLP</li><li>Drive incident response, threat hunting, and security monitoring activities</li><li>Develop and maintain cybersecurity policies, standards, and governance frameworks</li><li>Secure cloud, network, server, endpoint, and hybrid environments</li><li>Partner with infrastructure, engineering, and business teams to embed security into projects</li><li>Conduct security reviews, penetration test coordination, and compliance assessments</li><li>Lead security modernization and remediation initiatives</li><li>Provide guidance to leadership on emerging threats and risk mitigation strategies</li><li>Mentor security engineers and serve as a cybersecurity subject matter expert</li></ul><p><br></p>