<p>We are looking for a skilled and experienced Software Engineering Manager to lead a dynamic team in Los Angeles, California. This role requires a balance of hands-on development and leadership, with a focus on modernizing a legacy monolithic application into a scalable, service-oriented architecture. The ideal candidate will have a strong technical background, excellent communication skills, and a passion for mentoring engineers while driving platform evolution.</p><p><br></p><p>Responsibilities:</p><p>• Lead a team of engineers, dedicating 60-70% of your time to hands-on development and 30-40% to mentoring and guiding team members.</p><p>• Develop and refactor services using .NET technologies, ensuring alignment with service-oriented architecture principles.</p><p>• Break down tightly integrated application functionalities into reusable and well-defined services.</p><p>• Manage the delivery of new features and improvements while balancing platform modernization efforts.</p><p>• Collaborate with architecture and platform teams to define service boundaries, integration patterns, and standards.</p><p>• Design and implement APIs, service interfaces, and integration patterns that enhance scalability and extensibility.</p><p>• Review and approve code contributions to ensure they meet quality, performance, and security standards.</p><p>• Build and maintain shared components, utilities, and frameworks to accelerate development and promote reuse.</p><p>• Ensure adherence to best practices in CI/CD, DevOps, and operational readiness across the team.</p>
<p><strong>***For immediate response please email Valerie Nielsen***</strong></p><p><br></p><p><strong>Job Title:</strong> Engineering Manager (.NET)</p><p> <strong>Location:</strong> Woodland Hills, CA (Hybrid – 2–3 days onsite)</p><p> <strong>Openings:</strong> 2</p><p> <strong>Compensation:</strong> $200,000 – $220,000 Base + 10% Bonus</p><p><strong>Overview</strong></p><p> We are seeking a <strong>hands-on Engineering Manager (.NET)</strong> to lead a small team of engineers while actively contributing to the codebase. This role is ideal for a strong technical leader who enjoys mentoring developers, driving engineering best practices, and remaining deeply involved in architecture and development.</p><p>The Engineering Manager will oversee a team of <strong>3 software engineers</strong> and play a key role in building and scaling modern applications using the <strong>Microsoft .NET ecosystem</strong>.</p><p><strong>Responsibilities</strong></p><ul><li>Lead, mentor, and manage a team of <strong>3 software engineers</strong></li><li>Remain <strong>hands-on with development</strong> using <strong>.NET and ASP.NET</strong></li><li>Design and build scalable backend services and APIs</li><li>Participate in system architecture, technical design, and code reviews</li><li>Collaborate with product, data, and infrastructure teams to deliver new features</li><li>Improve engineering processes, code quality, and development standards</li><li>Support hiring, performance management, and team development</li><li>Ensure applications are reliable, scalable, and secure</li></ul><p><br></p>
<p><strong>Data Engineer (Hybrid, Los Angeles)</strong></p><p><strong>Location:</strong> Los Angeles, California</p><p><strong>Compensation:</strong> $140,000 - $175,000 per year</p><p><strong>Work Environment:</strong> Hybrid, with onsite requirements</p><p>Are you passionate about crafting highly-scalable and performant data systems? Do you have expertise in Azure Databricks, Spark SQL, and real-time data pipelines? We are searching for a talented and motivated <strong>Data Engineer</strong> to join our team in Los Angeles. You'll work in a hybrid environment that combines onsite collaboration with the flexibility of remote work.</p><p><strong>Key Responsibilities:</strong></p><ul><li>Design, develop, and implement data pipelines and ETL workflows using cutting-edge Azure technologies (e.g., Databricks, Synapse Analytics, Synapse Pipelines).</li><li>Manage and optimize big data processes, ensuring scalability, efficiency, and data accuracy.</li><li>Build and work with real-time data pipelines leveraging technologies such as Kafka, Event Hubs, and Spark Streaming.</li><li>Apply advanced skills in Python and Spark SQL to build data solutions for analytics and machine learning.</li><li>Collaborate with business analysts and stakeholders to implement impactful dashboards using Power BI.</li><li>Architect and support the seamless integration of diverse data sources into a central platform for analytics, reporting, and model serving via ML Flow.</li></ul><p><br></p>
<p><strong>Data Engineer – CRM Integration (Hybrid in San Fernando Valley)</strong></p><p><strong>Location:</strong> San Fernando Valley (Hybrid – 3x per week onsite)</p><p><strong>Compensation:</strong> $140K–$170K annual base salary</p><p><strong>Job Type:</strong> Full Time, Permanent</p><p><strong>Overview:</strong></p><p>Join our growing technology team as a Data Engineer with a focus on CRM data integration. This permanent role will play a key part in supporting analytics and business intelligence across our organization. The position offers a collaborative hybrid environment and highly competitive compensation.</p><p><strong>Responsibilities:</strong></p><ul><li>Design, develop, and optimize data pipelines and workflows integrating multiple CRM systems (Salesforce, Dynamics, HubSpot, Netsuite, or similar).</li><li>Build and maintain scalable data architectures for analytics and reporting.</li><li>Manage and advance CRM data integrations, including real-time and batch processing solutions.</li><li>Deploy ML models, automate workflows, and support model serving using Azure Databricks (ML Flow experience preferred).</li><li>Utilize Azure Synapse Analytics & Pipelines for high-volume data management.</li><li>Write advanced Python and Spark SQL code for ETL, transformation, and analytics.</li><li>Collaborate with BI and analytics teams to deliver actionable insights using PowerBI.</li><li>Support streaming solutions with technologies like Kafka, Event Hubs, and Spark Streaming.</li></ul><p><br></p>