<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>
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 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>
We are looking for a Data Analyst to support reporting, audience targeting, and data-driven decision-making for a manufacturing organization in Diamond Bar, California. This Long-term Contract position partners closely with business stakeholders to translate operational goals into meaningful reports, reliable datasets, and actionable audience lists. The ideal candidate brings strong analytical skills, hands-on experience with SQL and Excel, and the ability to communicate clearly while maintaining high standards for data accuracy.<br><br>Responsibilities:<br>• Partner with business teams to gather reporting needs, clarify audience outreach objectives, and turn those needs into practical data solutions.<br>• Develop and refine reports, datasets, and audience lists that help stakeholders measure performance and support business priorities.<br>• Write and troubleshoot SQL queries across multiple tables, using joins and backend reporting techniques to extract accurate information.<br>• Pull, validate, and organize data from platforms such as Salesforce and marketing-related systems to support analysis and campaign targeting.<br>• Perform data validation checks and investigate quality issues to improve confidence in reporting outputs and audience segmentation.<br>• Use advanced Excel functions, including PivotTables and lookup formulas, to analyze trends, reconcile data, and present findings clearly.<br>• Build targeted audience segments and list selections based on defined business rules, data attributes, and outreach requirements.<br>• Communicate proactively with cross-functional partners to provide status updates, resolve issues quickly, and ensure deliverables align with expectations.
<p>We are looking for a detail-oriented Data Analyst to support operations in Irvine, California through accurate data management and insightful reporting. This Long-term Contract position focuses on maintaining data quality, producing timely analyses, and helping stakeholders review financial and operational information with confidence. The role is well suited for someone who is comfortable working with large datasets, identifying irregular patterns, and using Power BI to turn information into clear business insight.</p><p><br></p><p>Responsibilities:</p><p>• Maintain and update datasets to ensure records remain complete, accurate, and ready for reporting needs.</p><p>• Prepare ad hoc analyses and recurring reports that help teams monitor business performance and respond to emerging questions.</p><p>• Review financial information for consistency, highlight unusual findings, and support follow-up analysis when discrepancies appear.</p><p>• Build and refine Power BI dashboards and visual reports that present trends, exceptions, and key metrics in a clear format.</p><p>• Examine transactional and operational data to detect suspicious activity and contribute to fraud-related analysis efforts.</p><p>• Support investigations by organizing relevant data, validating source information, and summarizing findings for internal stakeholders.</p><p>• Perform routine data quality checks and resolve inconsistencies to improve reliability across reporting outputs.</p>
<p>We are looking for a Database Developer for a Contract position. This position is remote. This role is ideal for someone who can step into an established ServiceTitan environment, quickly assess issues, and deliver practical solutions with minimal oversight. The successful candidate will combine database expertise, workflow support, and business-focused problem solving to improve system performance, reporting, and operational efficiency.</p><p><br></p><p>Responsibilities:</p><p>• Manage and support the day-to-day operation of the ServiceTitan platform, resolving workflow and system issues in an existing environment.</p><p>• Develop, maintain, and optimize database solutions using Microsoft SQL Server, T-SQL, stored procedures, and ETL processes.</p><p>• Create reporting tools, dashboards, and data views that help business teams track performance and make informed decisions.</p><p>• Build and maintain integrations and automation processes using Python, Zapier, and related APIs where needed.</p><p>• Investigate system errors, data inconsistencies, and process gaps, then implement effective fixes with limited direction.</p><p>• Partner with stakeholders across departments to understand operational needs and translate them into scalable technical solutions.</p><p>• Support database management activities including data organization, query performance improvement, and ongoing system reliability.</p><p>• Contribute to enhancements involving ServiceTitan configurations, cross-platform connectivity, and workflow improvements as business needs evolve.</p>
We are looking for a Database Developer to join a high-impact team, supporting executive reporting and analytics initiatives. This long-term contract position will focus on creating effective business intelligence solutions, transforming complex HR and benefits data into meaningful insights for senior leadership. The role offers strong visibility across the organization and requires a hands-on individual who can combine database expertise, reporting development, and data validation to deliver dependable decision-support tools.<br><br>Responsibilities:<br>• Create and enhance executive-facing dashboards and visual reports using Power BI to present business performance clearly and effectively.<br>• Develop reporting solutions centered on HR, benefits, claims, and cost-related data to support strategic analysis and leadership review.<br>• Examine trends and variances across metrics such as claims activity, overall spend, cost per member, and cost per claim.<br>• Work closely with analytics leadership and other key stakeholders to gather reporting needs and convert them into intuitive dashboard designs.<br>• Extract, transform, and validate data from source systems using SQL-based tools and related data techniques to support accurate reporting.<br>• Use advanced Excel capabilities to perform supplemental analysis, reconcile datasets, and assist with reporting deliverables.<br>• Maintain high standards for data integrity, consistency, and presentation quality in materials prepared for executive audiences.<br>• Support a small IT environment by contributing technical insight and responsive reporting expertise for high-visibility business initiatives.
<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>
<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>
We are looking for a Business Analytics/Data Analyst to support finance and operations through in-depth analysis of complex business data in Santa Ana, California. This is a Long-term Contract opportunity expected to run 3 to 6 months, with a hybrid schedule that includes two days onsite each week. The person in this role will translate large datasets into practical reporting, performance insights, and decision support for leadership while working closely with finance and technology stakeholders.<br><br>Responsibilities:<br>• Gather, extract, and organize high-volume financial and operational information from core business systems for analysis and reporting.<br>• Create and refine SQL queries, including developing new queries when needed to access and structure data effectively.<br>• Build dashboards, recurring reports, and visual reporting tools in Power BI and other reporting platforms to support leadership decisions.<br>• Perform advanced analysis and spreadsheet modeling in Excel to evaluate trends, productivity, and business performance.<br>• Develop analytical models tied to operational outcomes such as project costs, workforce efficiency, and employee-related returns.<br>• Deliver custom financial and operational insights on an ad hoc basis for finance leaders and other business stakeholders.<br>• Collaborate with technology partners to improve data access, reporting reliability, and analytical workflows across systems.<br>• Interpret datasets through an accounting and finance lens to ensure reporting aligns with business and financial meaning.<br>• Recreate or rebuild important reporting logic and query-based outputs when legacy processes are not readily available.
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.
We are looking for a Database Technology Product Manager to lead the strategy, development, and launch of advanced data-driven products within a hospitality environment in California. This contract-to-permanent opportunity is ideal for an experienced product leader who can connect executive priorities with technical execution, while shaping new capabilities that turn complex customer data into meaningful business insight. The right candidate will bring a strong command of machine learning, data science, and hospitality consumer behavior, along with the presence and judgment to communicate effectively at the board level.<br><br>Responsibilities:<br>• Lead the full product lifecycle for database and data science initiatives, from early concept development through deployment, measurement, and ongoing enhancement.<br>• Act as the central point of coordination between executive leadership, business stakeholders, and engineering teams to keep priorities aligned and delivery on track.<br>• Establish and grow a technical product management function focused on research and development initiatives within the organization.<br>• Define product strategy, investment priorities, and roadmap decisions for proprietary data products that support customer insight and business growth.<br>• Develop a data science inference capability that converts large and complex datasets into recommendations, decision support, and behavioral signals across hospitality experiences.<br>• Deliver clear updates to senior executives and board-level audiences, clearly outlining progress, risks, outcomes, and future plans.<br>• Guide prioritization and governance discussions by evaluating trade-offs, setting benchmarks, and supporting funding-related decision processes.<br>• Partner with technical teams to translate machine learning, data modeling, and analytics concepts into practical product direction and measurable value.<br>• Help bring specialized products to market responsibly while serving as a strategic interface between developers and customer-facing partners.
<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>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>**** For Faster response on the position, please send a message to Jimmy Escobar on LinkedIn or send an email to Jimmy.Escobar@roberthalf(.com) with your resume.****</p><p><br></p><p>We are looking for a Business Analyst to join a team in El Segundo, California in a contract-to-permanent capacity. This position is ideal for someone who can translate business needs into technical solutions, especially in environments involving APIs, integrations, and cross-functional collaboration. The role will focus on analyzing system interactions, documenting requirements, and supporting the delivery of integration-focused initiatives with clear communication across business and technical teams.</p><p><br></p><p>Responsibilities:</p><p>• Analyze business processes and system needs to identify functional gaps and recommend practical solution options.</p><p>• Partner with technical teams and stakeholders to define requirements for API-based connections and third-party application integrations.</p><p>• Produce detailed documentation such as business requirements, technical specifications, workflow descriptions, and source-to-target mapping artifacts.</p><p>• Evaluate data movement across systems to support accurate integration design, validation, and issue resolution.</p><p>• Participate in Agile ceremonies and work closely with delivery teams to refine priorities, clarify user stories, and support implementation efforts.</p><p>• Facilitate communication between business users and technical teams to ensure requirements are clearly understood and appropriately executed.</p><p>• Review existing processes and integration points to identify opportunities for improved efficiency, service quality, and system alignment.</p><p>• Support testing and validation activities by confirming that delivered solutions meet documented business and functional expectations.</p><p><br></p><p><br></p>
<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>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>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>
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.