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6 results for Qa Automation Engineer in Ontario, CA

QA Analyst

Burbank, CA
onsite
Temporary / Contract
48 - 51 USD / Hourly
We are looking for a QA Analyst to support a major automotive program in Southern California. This long-term contract opportunity is ideal for a quality specialist who can lead structured testing efforts, coordinate with cross-functional teams, and maintain strong visibility into readiness, risks, and outcomes. The role requires a hands-on approach to planning, execution, defect oversight, and reporting within a complex enterprise environment. Responsibilities:• Develop and manage the overall quality assurance approach for the assigned program, including testing scope, readiness checkpoints, execution timelines, and status oversight.• Produce and maintain core QA documentation such as test plans, schedules, scenarios, cases, data preparation plans, environment readiness plans, and approval milestones.• Coordinate testing activities across business units, internal technology teams, external vendors, platform partners, integration teams, infrastructure groups, and security stakeholders.• Monitor day-to-day testing progress by tracking coverage, execution results, defect activity, test data availability, environment status, dependencies, and unresolved decisions.• Facilitate recurring QA review sessions to document progress, remove blockers, clarify next steps, and keep all participants aligned during execution.• Identify emerging risks, issues, and dependency concerns early, then communicate business impact, recommended actions, and escalation needs to leadership.• Lead defect review and resolution efforts by partnering with application teams, integration resources, vendors, downstream stakeholders, and business representatives.• Maintain clear traceability between requirements, test cases, execution evidence, defect records, and release readiness decisions.• Prepare detailed QA reporting that highlights delivery progress, defect trends, completed work, upcoming milestones, open risks, and decisions requiring stakeholder input.• Support release preparation activities, including go/no-go readiness reviews, stakeholder updates, production validation planning, and post-cycle retrospective discussions.
2026-09-02T00:00:00Z

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.
2026-09-02T00:00:00Z

Quality Assurance Manager

Los Angeles, CA
onsite
Temporary to Hire
44.3365 - 56.33 USD / Hourly
A large Healthcare Organization in Los Angeles is in the immediate need of a QA Manager. The Medical Quality Assurance Manager coordinates the Quality Assurance and Performance Improvement (QA/QI) program, risk management activities, policy administration, and regulatory compliance efforts. The QA Manager collaboratively with leadership and cross-functional teams, this position promotes continuous quality improvement, organizational compliance, and effective governance through quality reporting, policy management, committee coordination, audits, and risk assessment. The Medical QA Manager supports regulatory and accreditation readiness, coordinates insurance administration and liability renewals, manages Certificates of Insurance (COIs), assesses insurance needs for events and organizational activities, and collaborates with internal stakeholders to identify, mitigate, and manage organizational risk. What You’ll Do <ul><li>Coordinate the QA/QI program, quality improvement initiatives, committee activities, and related reporting.</li><li>Monitor quality metrics, develop reports and dashboards, identify trends, and present findings and recommendations to leadership and committees.</li><li>Support departments in developing, implementing, and monitoring quality improvement plans.</li><li>Collaborate with Data Analytics to leverage information from the EHR, Salesforce, and other systems to monitor performance and support organizational improvement.</li><li>Conduct and coordinate quality, compliance, and operational audits and support regulatory surveys, accreditation activities, and corrective action plans.</li><li>Coordinate incident reporting, investigations, trend analysis, and corrective action follow-up.</li><li>Support licensure, regulatory, and compliance activities, including maintaining required documentation and assisting with regulatory reviews.</li><li>Coordinate Certificates of Insurance and maintain accurate insurance documentation.</li><li>Support annual liability insurance renewals by coordinating information with brokers, carriers, and internal stakeholders.</li><li>Assess insurance needs for community events, programs, contracts, and other organizational activities.</li><li>Collaborate with leadership and departments to identify, assess, mitigate, and monitor organizational risks.</li><li>Coordinate the policy review and renewal process, including revisions, approvals, distribution, and version control.</li><li>Educate policy owners on policy standards, review requirements, and governance processes.</li><li>Collaborate with the Director, Executive Office, to facilitate Board policy submissions and approvals.</li><li>Review, develop, and recommend policies for Board approval.</li><li>Maintain confidentiality and exercise sound judgment when handling sensitive information.</li><li>Uphold organizational standards of professionalism, accountability, ethics, and integrity.</li><li>Provide coaching, guidance, and performance feedback to staff, address performance or conduct concerns appropriately, and support employee accountability and development.</li><li>Perform other duties as assigned.</li></ul>This position is a Direct Hire role with a compensation range of $94,000 - $117,000 Annually
2026-09-01T00:00:00Z

AWS Senior Data Engineer

Burbank, CA
onsite
Temporary / Contract
63 - 67 USD / Hourly
We are looking for an AWS Senior Data Engineer to join a long-term contract opportunity supporting data initiatives within the automotive industry in Southern California. In this role, you will build and enhance cloud-based data pipelines that power analytics, reporting, and operational decision-making. The position requires strong hands-on experience with AWS data services, scalable processing frameworks, and modern engineering practices to deliver reliable and efficient data solutions. Responsibilities:• Build, deploy, and support end-to-end data pipelines using AWS services such as Glue, Lambda, Redshift, S3, Athena, and Airflow-based orchestration tools.• Create scalable data processing solutions with Python, PySpark, and Apache Spark to manage large and complex datasets efficiently.• Develop extraction, transformation, and loading workflows that move data accurately into target platforms for reporting and downstream consumption.• Implement data quality controls, validation routines, and exception handling to improve reliability and maintain trusted datasets.• Tune pipeline performance and refine SQL and Redshift workloads to meet service expectations for speed, scalability, and cost efficiency.• Partner with analysts, technical teams, and business stakeholders to convert data needs into practical engineering designs and production-ready solutions.• Maintain clear technical documentation for pipeline logic, data flows, operational processes, and system specifications.• Ensure data integration activities align with governance standards, compliance expectations, and established engineering best practices.• Provide ongoing production support for deployed data solutions and address issues affecting pipeline stability or data availability.
2026-08-26T00:00:00Z

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>
2026-08-13T00:00:00Z

M365 Systems Engineer

Encino, CA
onsite
Permanent / Full Time
110000 - 130000 USD / Yearly
Microsoft 365 Systems Engineer Company OverviewA well-established organization in the professional services sector is seeking a Microsoft 365 Systems Engineer to join its internal technology team in Los Angeles, California. The company supports a dynamic, multi-office environment and is committed to leveraging modern technology, cybersecurity best practices, and cloud-based solutions to drive operational excellence. This role offers the opportunity to make a meaningful impact by enhancing collaboration, security, and productivity across the organization. Role SummaryThe Microsoft 365 Systems Engineer will be responsible for administering, securing, and continuously improving the organization's Microsoft 365 ecosystem while supporting broader infrastructure and endpoint technologies. This hands-on position is ideal for a security-focused systems professional who enjoys solving complex technical challenges, delivering automation solutions, supporting end users, and leading technology initiatives. Based in the Los Angeles, California area, this role combines operational support, systems engineering, security governance, and project execution. Key Responsibilities<ul><li>Administer, maintain, and optimize Microsoft 365 services including Entra ID, Exchange Online, SharePoint, OneDrive, Teams, Intune, Defender, Purview, and related cloud technologies</li><li>Manage user identities, access controls, group policies, role-based permissions, multifactor authentication, and conditional access configurations</li><li>Support governance and administration of AI-enabled workplace technologies while ensuring appropriate security and data protection controls</li><li>Oversee endpoint management activities, including device enrollment, application deployment, compliance policies, security baselines, and lifecycle management</li><li>Implement, monitor, and enhance cybersecurity controls across cloud and endpoint environments</li><li>Maintain data protection, retention, auditing, information governance, and compliance-related configurations</li><li>Support patch management, vulnerability remediation, endpoint hardening, and secure configuration standards</li><li>Troubleshoot and administer Windows, macOS, iOS, Android, networking components, and business-critical SaaS platforms</li><li>Develop and maintain PowerShell scripts and automation workflows to improve operational efficiency and reduce manual effort</li><li>Create technical documentation, support procedures, knowledge base content, and end-user training materials</li></ul>Compensation & Benefits<ul><li>$100,000-$120,000</li><li>Comprehensive benefits package including medical, dental, and vision coverage</li><li>Retirement savings plan with employer matching contributions</li><li>Professional development and certification support opportunities</li></ul>Additional Details<ul><li>Onsite with remote flexibility on an ad-hoc need basis</li><li>Participation in after-hours maintenance, upgrades, and incident response activities may be required</li><li>Up to 20% regional travel may be required</li><li>Opportunity to contribute ideas, influence technology strategy, and help shape future platform decisions in collaborative environment</li></ul>
2026-08-26T00:00:00Z