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5 results for Rpa Engineer in Los Angeles, CA

Infrastructure Engineer

Los Angeles, CA
onsite
Permanent / Full Time
90000 - 110000 USD / Yearly
Job TitleSystems Engineer Company OverviewA well-established organization in the media and entertainment sector, based in Los Angeles, California, is dedicated to supporting creative professionals and advancing industry standards through technology and innovation. The organization operates a highly collaborative environment where technology plays a critical role in enabling seamless operations and high-quality member services. Role SummaryThis on-site Systems Engineer role in Los Angeles, California is responsible for supporting and optimizing enterprise infrastructure across hybrid environments. Working closely with senior technology leadership, this position plays a key role in maintaining system reliability, enhancing performance, and contributing to infrastructure initiatives, including major storage and systems projects. Key Responsibilities<ul><li>Support the design, implementation, and maintenance of infrastructure systems across on-premise and cloud environments</li><li>Administer and manage Microsoft 365 and cloud-based platforms, including identity and access management systems</li><li>Maintain backup, recovery, and disaster recovery processes to ensure business continuity</li><li>Monitor system performance, security, and reliability; recommend and implement improvements</li><li>Manage and support Windows and Linux servers, virtual machines, storage systems, and network components</li><li>Troubleshoot complex technical issues across systems, endpoints, and enterprise applications</li><li>Handle escalations from technical support teams and provide guidance and mentorship when needed</li><li>Maintain documentation and resolve incidents through a structured ticketing system</li><li>Contribute to infrastructure projects, including storage system migrations and system upgrades</li><li>Participate in after-hours support as needed to maintain operational continuity</li></ul>Compensation & Benefits<ul><li>$100,000 – $110,000 + discretionary bonus</li><li>Comprehensive medical, dental, and vision coverage</li><li>401(k) with employer match</li><li>Pension program in addition to retirement savings plan</li><li>Flexible spending accounts and life insurance</li><li>Paid time off and sick leave</li><li>Long-term disability coverage</li><li>Additional employee perks and wellness offerings</li></ul>Additional Details<ul><li>Work model: 100% on-site</li><li>Standard business hours with occasional after-hours support</li><li>Hands-on role with opportunities to contribute to key infrastructure initiatives</li></ul>
2026-07-29T00:00:00Z

Infrastructure Engineer

Woodland Hills, CA
onsite
Temporary / Contract
71.25 - 82.5 USD / Hourly
We are looking for an Infrastructure Engineer to support and strengthen a complex enterprise technology environment in California. This long-term contract opportunity is ideal for a hands-on, detail-oriented individual who can resolve high-level infrastructure issues, enhance system reliability, and contribute to modernization efforts across cloud, server, and network operations. The role requires close collaboration with technical teams to improve performance, security, and operational consistency across the environment. Responsibilities: • Act as a senior escalation resource for advanced technical problems that extend beyond the standard support tiers. • Diagnose and resolve issues affecting network connectivity, server operations, cloud platforms, and core infrastructure services. • Administer and support Azure-based resources and services to maintain availability, stability, and performance. • Manage both Microsoft Windows Server and Linux systems, including ongoing support, maintenance, and operational troubleshooting. • Maintain endpoint administration frameworks such as Microsoft Intune and Group Policy, with a focus on streamlining policies and improving standards. • Partner with cross-functional teams to deliver infrastructure enhancements, strengthen security controls, and implement system upgrades. • Use Ansible and related automation practices to improve configuration management and expand infrastructure automation capabilities. • Track infrastructure and network health through proactive monitoring to help protect system performance, uptime, and security.
2026-07-29T00:00:00Z

DevOps Engineer

Rosemead, CA
onsite
Permanent / Full Time
175000 - 200000 USD / Yearly
Job TitleManager, DevOps Automation Company OverviewA well-established organization in the consumer services and technology sector, based in San Gabriel Valley, California, is focused on delivering scalable, technology-driven solutions to support enterprise operations. The company is committed to operational excellence, innovation, and building secure, reliable systems that enable business growth across a distributed environment. With a strong emphasis on modernization, the organization is investing in automation and cloud technologies to enhance efficiency and performance. Role SummaryThe Manager, DevOps Automation will lead the strategy, implementation, and evolution of infrastructure automation and Infrastructure as Code (IaC) capabilities across enterprise platforms in San Gabriel Valley, California. This role combines hands-on technical leadership with team management, driving the adoption of scalable, secure, and efficient automation practices across cloud and on-premises environments. The position plays a critical role in reducing manual processes, improving system reliability, and advancing overall technology maturity. Key Responsibilities<ul><li>Lead the design, implementation, and governance of DevOps automation and IaC solutions across hybrid infrastructure environments</li><li>Manage and mentor a team of DevOps engineers, fostering growth, performance, and technical excellence</li><li>Serve as the subject matter expert for automation tools, including orchestration platforms and configuration management systems</li><li>Develop and standardize automation frameworks for provisioning, patching, compliance, and lifecycle management</li><li>Partner with infrastructure, cloud, and security teams to integrate automation into CI/CD pipelines and operational workflows</li><li>Oversee automation and operational excellence for identity and productivity platforms, including directory services and collaboration tools</li><li>Establish and track key performance indicators related to automation coverage, system reliability, and operational efficiency</li><li>Drive continuous improvement by reducing manual intervention and enhancing consistency and auditability</li><li>Evaluate emerging technologies and tools to advance automation capabilities and standardization</li><li>Create and maintain documentation, standards, and reference architectures to support enterprise-wide adoption</li></ul>Compensation & Benefits<ul><li>$160,000-$175,000 + discretionary bonus + stock</li><li>Performance-based bonus opportunities</li><li>Comprehensive health, dental, and vision insurance with significant employer contribution</li><li>Retirement savings plan with company match</li><li>Stock or equity participation opportunities</li><li>Employee discounts and wellness-focused perks</li><li>Paid time off and flexible scheduling options</li></ul>Additional Details<ul><li>Hybrid work model with regular in-office collaboration</li><li>Leadership role with direct reports and significant organizational impact</li><li>Occasional travel and flexibility for after-hours support as needed</li><li>Opportunity to shape and scale enterprise automation strategy in a dynamic environment</li></ul>
2026-07-15T00:00:00Z

Machine Learning Engineer

Los Angeles, CA
onsite
Permanent / Full Time
180000 - 210000 USD / Yearly
We are looking for a Machine Learning Engineer to build and support production-ready AI systems in Los Angeles, California. This position focuses on creating reliable machine learning infrastructure, enabling scalable model operations, and advancing generative AI solutions that improve access to business-critical information. The ideal candidate will combine strong platform engineering skills with hands-on experience deploying models, automating workflows, and maintaining high standards for quality, governance, and performance. Responsibilities: • Build and maintain scalable machine learning infrastructure in Databricks, including experiment tracking, model management, and serving capabilities for production use. • Create and improve MLOps frameworks and automated deployment pipelines that support model release, monitoring, and lifecycle management. • Establish disciplined processes for model version control, retraining, and artifact governance using tools such as Unity Catalog. • Develop and administer a feature store strategy that keeps training and inference data consistent across machine learning workflows. • Design retrieval-augmented generation solutions that allow internal teams to search and interact with documents such as fund materials, investor communications, and research content. • Implement and manage vector search platforms to support semantic retrieval across large collections of enterprise documents. • Customize and fine-tune large language models using proprietary datasets while protecting data privacy and meeting compliance expectations. • Build document ingestion and transformation pipelines that handle parsing, segmentation, and embedding creation for generative AI applications. • Introduce prompt design standards, evaluation methods, and application safeguards to improve response quality, reduce hallucinations, and provide source-backed outputs. • Automate training, testing, orchestration, and deployment workflows through CI/CD pipelines and tools such as Databricks Workflows, GitHub Actions, Azure DevOps, Airflow, or Prefect.
2026-07-29T00:00:00Z

Machine Learning Engineer

Los Angeles, CA
onsite
Permanent / Full Time
200000 - 260000 USD / Yearly
RESPONSIBILITIES: ML Model Deployment & Platform Management • Lead the design, implementation, and ongoing maintenance of scalable ML infrastructure on Databricks, including ML flow for experiment tracking, model registry, and model serving endpoints. • Oversee the development of the ML Ops platform and automated pipelines for deploying, monitoring, and maintaining models within production environments. • Implement robust solutions for model versioning, systematic retraining, and comprehensive artifact management using Databricks Unity Catalog for ML governance. • Design and manage Databricks Feature Store for consistent feature engineering across training and inference pipelines. Generative AI & LLM Operations • Architect and implement Retrieval-Augmented Generation (RAG) systems for document Q&A, enabling business teams to query fund documents, investor letters, and market research. • Design, deploy, and manage vector database solutions (Databricks Vector Search, Pinecone, or similar) for semantic search and retrieval across enterprise documents. • Lead LLM fine-tuning and customization initiatives, training models like Claude or open-source alternatives with CIM proprietary data while ensuring data privacy and compliance. • Develop and optimize document processing pipelines including PDF parsing, chunking strategies, and embedding generation for RAG applications. • Implement prompt engineering best practices and LLM evaluation frameworks to ensure output quality, relevance, and factual accuracy. • Build guardrails and safety measures for GenAI applications, including hallucination detection, output validation, and source attribution. Automation & CI/CD Pipelines • Design and implement extensive automation across the ML workflow, covering model training, testing, validation, and deployment using Databricks Workflows and Asset Bundles. • Set up robust CI/CD pipelines for both traditional ML models and GenAI applications, leveraging GitHub Actions, Azure DevOps, or similar tools. • Automate complex data and model workflows utilizing orchestration tools such as Airflow, Prefect, or Databricks Workflows.
2026-07-29T00:00:00Z