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10 results for Qa Automation Engineer in Pasadena, CA

QA Analyst L2

Burbank, CA
onsite
Temporary / Contract
52 - 55 USD / Hourly
We are looking for a Level 2 QA Analyst to support privacy and website compliance initiatives in Southern California. This is a Long-term Contract position focused on ensuring applications, workflows, and data-handling practices align with regulatory expectations and internal quality standards. The role works closely with business, legal, compliance, and technology stakeholders to assess requirements, coordinate testing efforts, and confirm that privacy-focused solutions are delivered accurately and reliably. Responsibilities:• Build and carry out test strategies, test plans, and detailed test cases to evaluate privacy-related business and system requirements.• Verify that consent management processes, data subject request workflows, and handling of sensitive information function as intended and meet compliance expectations.• Perform functional, integration, and user acceptance testing for website and privacy compliance initiatives, documenting outcomes clearly.• Record, prioritize, and monitor defects through resolution while partnering with cross-functional teams to address root causes and retesting needs.• Produce QA artifacts such as traceability matrices, validation reports, test evidence, and defect summaries to support compliance reviews and audit readiness.• Maintain end-to-end traceability between requirements, test scenarios, execution results, and final validation status.• Review business and regulatory requirements to identify gaps, improve testability, and confirm complete test coverage.• Communicate testing progress, quality risks, compliance concerns, and critical issues to stakeholders, including recommendations for mitigation.• Assess opportunities to strengthen QA processes, reporting practices, and repeatable automation for compliance-focused testing activities.
2026-06-17T00:00:00Z

Artificial Intelligence (AI) Engineer

Bell Gardens, CA
onsite
Permanent / Full Time
190000 - 200000 USD / Yearly
Job TitleSenior Artificial Intelligence (AI) Solutions Architect Company OverviewA forward-thinking organization in the consumer products and retail sector, based in Los Angeles, CA, is investing heavily in artificial intelligence to transform business operations and drive innovation. The company is focused on building scalable, AI-enabled systems that enhance efficiency, decision-making, and customer experiences. With a strong commitment to technological advancement, it fosters a collaborative environment where new ideas and AI-driven initiatives are encouraged. Role SummaryThe Senior AI Solutions Architect will serve as a key technical leader responsible for designing, building, and scaling enterprise-grade AI systems. Based in Los Angeles, CA, this role partners closely with senior leadership to translate business needs into robust AI solutions while driving technical execution. This position combines hands-on engineering with strategic influence, shaping the organization’s AI roadmap and enabling broader adoption across teams. Key Responsibilities<ul><li>Architect and deploy scalable AI systems, integrations, and enterprise-grade solutions</li><li>Design and implement AI orchestration workflows, including agent-based and context-aware systems</li><li>Develop and manage LLM-powered applications and integrations across business platforms</li><li>Partner with cross-functional stakeholders to identify AI opportunities and drive measurable business impact</li><li>Establish governance, best practices, and standards for AI workflows and system architecture</li><li>Lead integration efforts across enterprise platforms such as ERP, HRIS, and supply chain systems</li><li>Contribute to AI strategy and roadmap development alongside senior technology leadership</li><li>Mentor and guide engineers, fostering technical excellence and best practices</li><li>Promote AI adoption through internal education, advocacy, and knowledge sharing</li><li>Evaluate emerging tools and technologies to continuously enhance AI capabilities and scalability</li></ul>Compensation & Benefits<ul><li>$190,000 - $200,000 with discretionary bonus</li><li>Annual bonus eligibility</li><li>Comprehensive medical, dental, and vision coverage</li><li>Competitive benefits and employee-focused perks</li></ul>Additional Details<ul><li>Hybrid work model (onsite four days per week, remote flexibility one day per week)</li><li>Leadership-track opportunity with clear growth into senior technology leadership</li><li>Highly visible role with direct impact on enterprise AI strategy and execution</li></ul>
2026-06-03T00:00:00Z

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.
2026-06-11T00:00:00Z

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.
2026-06-11T00:00:00Z

AI DevOps Engineer

Bell Gardens, CA
onsite
Permanent / Full Time
160000 - 185000 USD / Yearly
Job TitleAI DevOps Engineer Company OverviewA well-established and growing organization in the consumer products and retail space, based in Los Angeles, CA, is leveraging advanced technologies to modernize operations and drive innovation. The company is committed to integrating AI-driven solutions to improve scalability, efficiency, and decision-making across the business. With a collaborative and forward-thinking culture, they prioritize continuous improvement and technology-driven growth. Role SummaryThe AI DevOps Engineer will play a critical role in designing, deploying, and scaling AI-driven systems in a production environment. Based in Los Angeles, CA, this position focuses on building robust CI/CD pipelines, enabling reliable AI operations, and ensuring secure, scalable infrastructure. This role partners closely with both technical and business stakeholders to operationalize AI solutions and drive enterprise-wide adoption. Key Responsibilities<ul><li>Design and implement CI/CD pipelines for AI applications and services</li><li>Build and manage scalable AI deployment frameworks and infrastructure</li><li>Establish best practices for AI operations, including monitoring, reliability, and cost optimization</li><li>Automate infrastructure provisioning and configuration using modern DevOps tools</li><li>Develop observability solutions to ensure high system performance and uptime</li><li>Implement secure deployment practices and maintain strong access controls</li><li>Operationalize AI platforms and integrate them into business workflows</li><li>Collaborate with cross-functional teams to identify opportunities for AI-driven scaling</li><li>Educate internal stakeholders on AI capabilities, tools, and operational best practices</li><li>Contribute to long-term infrastructure and AI platform strategy</li></ul>Compensation & Benefits<ul><li>$160,000 - $185,000 with discretionary bonus</li><li>Annual bonus eligibility</li><li>Comprehensive health benefits including medical, dental, and vision coverage</li><li>Additional perks and employee-focused programs</li></ul>Additional Details<ul><li>Hybrid work model (onsite four days per week, remote flexibility one day per week)</li><li>High-impact role with visibility across technical and business teams</li><li>Opportunity to help build and scale AI operations within a growing organization</li></ul>
2026-06-03T00:00:00Z

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>
2026-05-27T00:00:00Z

Security Data Engineer

Costa Mesa, CA
remote
Temporary to Hire
60 - 65 USD / Hourly
We are looking for a Security Data Engineer to join our team in Costa Mesa, California in a contract capacity with the potential for a permanent role. This position is focused on advancing a well-established data lake environment by strengthening the ingestion layer, expanding connectivity to additional systems, and ensuring reliable movement of security-relevant data. The person in this role will take ownership of pipeline operations, partner with internal system stakeholders to enable access, and help keep incoming data accurate, timely, and usable for downstream needs. Responsibilities: • Take ownership of the data ingestion layer for an existing data lake, ensuring steady performance and dependable delivery of incoming datasets. • Reduce a defined backlog of pipeline work during the first 90 days by building and activating prioritized ingestion workflows. • Assume responsibility for pipeline components transitioned from the lead engineer and continue their operational support without disrupting established foundations. • Support and improve current ETL processes by monitoring health, resolving failures, and extending coverage where needed. • Integrate new source systems, including platforms such as Rippling and Workday, into the broader data ecosystem. • Coordinate with internal application and system owners to identify data sources, secure appropriate access, and obtain logs or source records required for ingestion. • Apply data cleaning and analysis practices to improve data quality and maintain consistency across inbound datasets. • Contribute to infrastructure and deployment workflows using AWS, AWS CDK, Infrastructure as Code, and CI/CD practices to support scalable pipeline operations.
2026-06-19T00:00:00Z

Data & ML Platform Engineer Manager

Inglewood, CA
onsite
Permanent / Full Time
180000 - 200000 USD / Yearly
Job TitleManager, Data & Machine Learning Platform Engineer Company OverviewA leading organization in the sports and entertainment industry is redefining the live event and fan engagement experience through data and AI. By leveraging cutting-edge technology and advanced analytics, the organization is building innovative platforms that deliver personalized, seamless experiences for millions of fans. Role SummaryThis Los Angeles-based role is a hands-on opportunity for a Manager, Data & Machine Learning Platform Engineer to design and build end-to-end data and ML systems that power intelligent products across fan engagement, marketing, and operations. Acting as an individual contributor, you will own the full lifecycle of data and machine learning platforms—from data ingestion to real-time model deployment—enabling scalable, production-ready AI solutions. Key Responsibilities<ul><li>Design, build, and maintain scalable data pipelines and ML platform infrastructure for analytics and AI use cases</li><li>Own the end-to-end lifecycle of data and ML systems, including ingestion, transformation, feature engineering, deployment, and monitoring</li><li>Develop and optimize data models and schemas to support both batch and real-time workflows</li><li>Build and manage feature pipelines and enable low-latency access for real-time decisioning systems</li><li>Deploy machine learning models into production via APIs and real-time inference services</li><li>Implement CI/CD pipelines for machine learning workflows, including testing, versioning, and automated deployment</li><li>Establish monitoring systems to track data quality, model performance, and system reliability</li><li>Enable experimentation frameworks such as A/B testing to support data-driven product iteration</li><li>Collaborate cross-functionally with data scientists, product teams, and business stakeholders to deliver impactful AI solutions</li><li>Drive architectural decisions and promote best practices in data engineering and MLOps</li></ul>Compensation & Benefits<ul><li>$180,000 – $200,000</li><li>Comprehensive benefits package including medical, dental, and vision coverage</li><li>401(k) with company contribution</li><li>Annual wellbeing allowance</li><li>Flexible paid time off and parental leave</li><li>Company-paid life and disability insurance</li><li>Mental health and wellness support programs</li><li>Flexible spending accounts and family planning assistance</li></ul>Additional Details<ul><li>Work model: Hybrid (4 days onsite per week)</li><li>Core working hours with flexibility</li><li>Individual contributor role (no direct reports)</li><li>High-impact role contributing to enterprise-wide AI initiatives</li></ul>
2026-06-12T00:00:00Z

Software Engineer

Pasadena, CA
onsite
Temporary to Hire
45.9135 - 53.163 USD / Hourly
We are looking for a Software Engineer to join a team in Pasadena, California, on a contract basis with the potential to become permanent. This role focuses on creating reliable, high-throughput software in C++ for server-side environments where performance, responsiveness, and code quality are critical. The position is fully onsite and is well suited for an engineer who enjoys solving complex technical challenges in production systems. Responsibilities: • Design, build, and enhance C++ applications for Windows Server environments with an emphasis on stability, speed, and maintainability. • Develop software components that operate in multi-threaded and real-time or near-real-time settings, ensuring dependable performance under production workloads. • Translate architectural goals into scalable technical solutions by applying sound engineering principles and established design approaches. • Investigate defects, isolate root causes, and deliver durable fixes for complex issues affecting system behavior and application reliability. • Collaborate with cross-functional partners to implement backend services, integrations, and data-driven functionality that support broader platform needs. • Contribute to code quality practices through thoughtful implementation, peer reviews, and continuous improvement of development standards. • Support the evolution of distributed or streaming-data solutions and participate in service-based development where technologies such as gRPC or Protobuf are relevant. • Work closely with onsite team members in Pasadena, California, to deliver production-ready software aligned with business and operational requirements.
2026-06-16T00:00:00Z

Software Engineer

Pasadena, CA
onsite
Permanent / Full Time
100000 - 115000 USD / Yearly
.NET Full Stack EngineerLocation: Pasadena, CA (Fully On-Site)Schedule: Monday–Friday, Core Hours 9:00 AM – 5:00 PMCompensation: $110,000–$120,000 Base SalaryBenefits: Medical, Dental, Vision, PTO About the Opportunity An established and growing digital media organization is seeking a talented .NET Full Stack Engineer to join its Technology Team. This role offers the opportunity to build and enhance mission-critical internal and customer-facing applications that support a highly respected information platform. The ideal candidate will enjoy working in a collaborative environment where innovation, continuous improvement, and technical excellence are highly valued. You will partner closely with product managers, technical leaders, and cross-functional teams to develop scalable applications and APIs that drive business impact. What You'll Do<ul><li>Collaborate with product managers and stakeholders to transform business requirements into technical solutions.</li><li>Design, develop, and maintain scalable, secure, and high-performing .NET applications and RESTful APIs.</li><li>Build and optimize solutions using Azure cloud technologies and Azure SQL databases.</li><li>Participate in Agile development processes including sprint planning, retrospectives, and backlog refinement.</li><li>Troubleshoot and resolve complex technical issues across applications and services.</li><li>Perform testing, code reviews, and quality assurance activities to ensure reliable software delivery.</li><li>Create and maintain technical documentation to support development and operational processes.</li><li>Promote best practices in software design, coding standards, testing, and deployment.</li></ul> Technology Stack<ul><li>.NET Core / C#</li><li>SQL Server</li><li>Entity Framework</li><li>Azure Cloud Services</li><li>Azure SQL</li><li>Azure Service Bus</li><li>REST APIs</li><li>React.js (preferred)</li><li>Elasticsearch (preferred)</li></ul>If you're looking for an opportunity to contribute to impactful products while working with modern Microsoft technologies in a collaborative environment, we'd love to hear from you. Direct message Reid Gormly on LinkedIn and Apply Now
2026-06-16T00:00:00Z