<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>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>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><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><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>We are looking for an expierenced Automation Integration Engineer to help strengthen and advance automated distribution operations in Riverside, California. This position combines hands-on engineering support with system integration work to keep warehouse technology, material handling equipment, and software platforms performing reliably in a high-volume retail environment. The role partners closely with operations, IT, engineering, and external vendors to resolve technical issues, improve throughput, and support new automation initiatives.</p><p><br></p><p>Responsibilities:</p><p>• Coordinate the connection and performance of warehouse software, automation controls, and material handling equipment to ensure smooth operation across distribution processes.</p><p>• Convert operational needs into detailed technical documentation, including functional requirements, change requests, and integration specifications.</p><p>• Build and manage testing strategies for system updates and automation enhancements, then verify results before release into production.</p><p>• Investigate interface failures, process interruptions, and unexpected system behavior by tracing data flow and equipment interaction across connected platforms.</p><p>• Provide daily engineering support for live automated operations, addressing equipment and system issues that affect flow, accuracy, or productivity.</p><p>• Lead root cause analysis for operational disruptions and follow issues through corrective action until stable performance is restored.</p><p>• Identify and implement improvements that increase throughput, strengthen reliability, and streamline warehouse processes.</p><p>• Assist with implementation projects, commissioning efforts, and go-live activities by coordinating technical tasks across internal teams and third-party partners.</p><p>• Maintain clear technical documentation such as standard operating procedures, workflow diagrams, interface records, and system support materials.</p><p>• Use operational metrics and system data to evaluate performance, support troubleshooting efforts, and contribute to reporting on key distribution indicators.</p>
<p><strong>Lead Data Engineer</strong></p><p><br></p><p><strong>Company Overview</strong> </p><p>A media organization is seeking a Lead Data Engineer to support enterprise data, analytics, and emerging technology initiatives. This role offers the opportunity to lead technical projects, mentor engineers, and help shape the organization's data strategy.</p><p><br></p><p><strong>Role Summary</strong> </p><p>The Lead Data Engineer will be a hands-on technical leader responsible for data engineering, analytics, automation, and AI-related initiatives. This role combines individual contribution, technical direction, team mentorship, and cross-functional collaboration.</p><p><br></p><p><strong>Key Responsibilities</strong></p><ul><li>Lead the design, development, and support of enterprise data solutions.</li><li>Provide technical leadership and establish development best practices.</li><li>Oversee data pipelines, integrations, reporting, and automation initiatives.</li><li>Partner with business and technology stakeholders to prioritize work and deliver solutions.</li><li>Monitor data quality, reliability, and operational performance.</li><li>Mentor team members and support their technical development.</li><li>Evaluate emerging technologies and identify opportunities for innovation.</li></ul>
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>
<p><strong>Senior ServiceNow Developer</strong></p><p><br></p><p><strong>Company Overview</strong> </p><p>An organization in the consumer industry is seeking a Senior ServiceNow Developer to support and enhance its enterprise service management platform. This role offers the opportunity to build scalable solutions, improve business processes, and contribute to ongoing technology modernization.</p><p><br></p><p><strong>Role Summary</strong> </p><p>The Senior ServiceNow Developer will design, develop, integrate, and support solutions across the ServiceNow platform. The ideal candidate combines strong technical development skills with the ability to understand business needs and translate them into effective platform solutions.</p><p><br></p><p><strong>Key Responsibilities</strong></p><ul><li>Design, develop, and enhance ServiceNow applications and workflows.</li><li>Configure and customize platform functionality to support business requirements.</li><li>Build and maintain integrations with enterprise systems and third-party applications.</li><li>Develop automation that improves service delivery and operational efficiency.</li><li>Partner with business and technology teams to gather requirements and deliver solutions.</li><li>Troubleshoot platform issues and support ongoing enhancements.</li><li>Maintain technical documentation and development standards.</li></ul><p><strong>Additional Details</strong></p><ul><li>Work model: Hybrid with regular onsite presence</li><li>Full-time position</li><li>Opportunity to contribute to platform enhancements and modernization initiatives</li></ul>
<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>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><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>We are looking for a Data Scientist to join our clients pricing and analytics team. This role is ideal for someone early in their career who combines strong statistical thinking with an interest in insurance economics, especially in areas such as pricing, reserving, and telematics-driven analysis. You will partner closely with senior pricing and actuarial leaders, working across the full analytical lifecycle from raw data exploration to business-facing recommendations. The position offers broad exposure to how insurance performance is measured, explained, and improved through disciplined modeling and clear communication.</p><p><br></p><p>Responsibilities:</p><p>• Perform end-to-end analytical work that supports insurance rate reviews, including data preparation, trend evaluation, loss development analysis, and documentation used for regulatory support.</p><p>• Develop, test, and refine pricing and telematics models using statistical and machine learning techniques, ensuring results are accurate, explainable, and suitable for business use.</p><p>• Assist with reserving analysis by working with loss triangles, development patterns, and ultimate loss estimates that align actuarial findings with financial reporting.</p><p>• Create and maintain recurring performance dashboards and reporting that track key indicators such as loss ratios, claim frequency, claim severity, and cohort behavior.</p><p>• Investigate unusual shifts in portfolio performance, segment results, or customer retention trends, and translate findings into actionable insights for the broader team.</p><p>• Write organized, reusable code and data workflows that support independent analysis while making it easy for others to review and build on your work.</p><p>• Collaborate with pricing and actuarial stakeholders to gradually take ownership of increasingly complex analyses and modeling assignments as your experience grows.</p><p>• Communicate analytical conclusions clearly in written materials and presentations for audiences that need business impact explained without technical detail.</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>
<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 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'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>