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90 results for Qa Automation Engineer jobs

Machine Learning Engineer

Reston, Virginia
remote
Temporary / Contract
70 - 75 USD / Hourly
Machine Learning EngineerPay: $70-75/hr, available solely on W2 BasisConsultant I (Contractor)Work Location: RemoteEngagement Type: 34 Week Contract, Potential for Extension or ConversionPosition OverviewWe are seeking a Machine Learning Engineer to support the design, development, and optimization of machine learning solutions for real‑world applications. This role focuses on model development, data pipeline construction, and performance evaluation within a collaborative engineering environment.Key Responsibilities<ul><li>Design, build, train, and evaluate machine learning and deep learning models for production and analytical use cases</li><li>Develop and maintain scalable data pipelines for data collection, cleaning, transformation, and ingestion</li><li>Conduct experiments and analyze performance metrics such as accuracy, recall, and AUC</li><li>Optimize models for performance, speed, reliability, and scalability</li><li>Collaborate with cross‑functional teams to support data‑driven solutions</li></ul>
2026-09-03T00:00:00Z

Machine Learning Engineer

Los Angeles, California
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

Machine Learning Engineer

Los Angeles, California
onsite
Permanent / Full Time
200000 - 300000 USD / Yearly
Machine Learning Engineer Company OverviewBased 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. Role SummaryThe 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. Key Responsibilities<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>Additional Details<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>
2026-09-24T00:00:00Z

Machine Learning Engineer

Menlo Park, California
onsite
Permanent / Full Time
200000 - 300000 USD / Yearly
Machine Learning Engineer Company OverviewBased 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. Role SummaryThe 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. Key Responsibilities<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>Additional Details<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>
2026-09-24T00:00:00Z

Email Automation Specialist

Atlanta, Georgia
onsite
Temporary / Contract
0 - 0 USD / Yearly
We are looking for a highly skilled Email Automation Specialist for a 3–6 month contract with a dynamic client based in Atlanta. This role is built for a marketing operations professional who excels at building, deploying, and optimizing sophisticated lifecycle campaigns and automated workflows. You will take ownership of the technical execution of marketing campaigns, ensuring precise audience targeting and flawless delivery.The ideal candidate must be local to the Atlanta area and comfortable working onsite three days a week, collaborating directly with cross-functional teams.
2026-09-11T00:00:00Z

Email Automation Specialist

Atlanta, Georgia
onsite
Temporary / Contract
0 - 0 USD / Yearly
We are looking for a highly skilled Email Automation Specialist for a 3–6 month contract with a dynamic client based in Atlanta. This role is built for a marketing operations professional who excels at building, deploying, and optimizing sophisticated lifecycle campaigns and automated workflows. You will take ownership of the technical execution of marketing campaigns, ensuring precise audience targeting and flawless delivery.The ideal candidate must be local to the Atlanta area and comfortable working onsite three days a week, collaborating directly with cross-functional teams.
2026-09-23T00:00:00Z

Quality Assurance Tester (Oracle Fusion)

St. Paul, Minnesota
onsite
Temporary to Hire
65 - 75 USD / Hourly
We are looking for an experienced Quality Assurance Tester to support enterprise application testing. This position focuses on ensuring reliable performance, stability, and release readiness across Oracle Fusion Cloud applications, connected systems, reporting, and business-critical workflows. The ideal candidate brings strong manual testing expertise, a structured approach to quality planning, and the ability to work closely with technical and business teams in an Agile environment. Responsibilities:• Drive end-to-end QA efforts by organizing test planning, building detailed test scenarios, executing test cycles, and confirming overall release quality.• Develop and maintain clear testing artifacts in Azure DevOps, including test plans, cases, execution results, and traceable documentation.• Work closely with product owners, analysts, developers, and business users to turn functional needs into complete and practical test coverage.• Perform functional, integration, regression, smoke, exploratory, end-to-end, and user acceptance testing across enterprise processes and supporting applications.• Log, prioritize, and monitor defects through resolution, partnering with development teams to verify fixes and reduce recurring issues.• Support sprint activities, release preparation, deployment readiness reviews, and post-deployment validation to help ensure smooth production outcomes.• Build and refine regression coverage for critical workflows involving business transactions, interfaces, reporting, security access, and data movement.• Validate Oracle Fusion Cloud modules, integrations, reports, security roles, data loads, and quarterly updates across areas such as Finance, Procurement, Supply Chain, Inventory, Order Management, Projects, and Fixed Assets.• Contribute to test automation planning and recommend process improvements that increase testing efficiency, consistency, and overall quality standards.
2026-09-23T00:00:00Z

Quality Engineer

Lockport, New York
onsite
Permanent / Full Time
60000 - 80000 USD / Yearly
Robert Half Permanent Placement is excited to partner with an innovative manufacturer in Lockport, NY on their search for a Quality Engineer. This exciting role has a starting salary of $60,000 - $80,000 depending on experience and a comprehensive benefits package. Our great client has newly created this position that comes with excellent career growth opportunity for someone with a quality and safety mindset. Responsibilities include but not limited to: <ul><li>Develop, implement, and maintain quality procedures, work instructions, inspection methods, and testing protocols to ensure compliance with customer, regulatory, and internal quality standards</li><li>Evaluate manufacturing processes, analyze quality data and trends, and lead continuous improvement initiatives that enhance product quality, reduce waste, and improve operational efficiency</li><li>Conduct product, material, equipment, and process validation activities, including testing, calibration management, statistical analysis, and documentation of results </li><li>Lead investigations involving nonconforming materials, customer complaints, and corrective and preventive actions, performing root cause analysis and implementing effective corrective actions</li><li>Support and maintain the Quality Management System including safety and quality certifications, customer specifications, raw material specifications, and finished product requirements</li><li>Train production and quality personnel on quality systems, inspection methods, new equipment, and standard operating procedures to ensure consistent execution across the organization</li><li>Support customer and certification audits, respond to customer quality inquiries, maintain inspection and calibration records, and serve as backup to the Director of Quality as needed</li></ul>
2026-09-03T00:00:00Z

RPA Software Engineer

Auburn Hills, Michigan
onsite
Temporary / Contract
33.25 - 38.5 USD / Hourly
We are looking for an RPA Software Engineer to join a long-term contract opportunity in Auburn Hills, Michigan within the automotive industry. This role focuses on building and supporting intelligent automation solutions that streamline business operations, improve accuracy, and increase efficiency across multiple functions. The ideal candidate brings hands-on experience with workflow automation, software development, and system integration, along with the ability to work closely with business stakeholders to deliver reliable, scalable solutions. Responsibilities: • Evaluate operational workflows to uncover automation opportunities and recommend practical process improvements. • Build, test, implement, and enhance automated solutions using tools such as Microsoft Power Automate, WinActor, and related platforms. • Partner with internal teams and business users to define requirements, translate needs into technical solutions, and support successful delivery. • Investigate automation issues, perform root-cause analysis, and optimize workflows to maintain strong system performance and stability. • Maintain existing bots and automation assets while identifying ways to expand functionality and improve usability. • Create clear technical documentation, process guides, and user-facing instructions for deployed automation solutions. • Deliver user support and training to encourage adoption and effective use of automation tools. • Connect automation workflows with enterprise applications, databases, Microsoft 365 tools, APIs, file-based processes, and external platforms. • Develop scripts, utilities, and custom integrations to extend automation capabilities across Windows and Linux environments.
2026-09-25T00:00:00Z

Agent Platform Engineer

Menlo Park, California
onsite
Permanent / Full Time
200000 - 300000 USD / Yearly
Agent Platform Engineer Company OverviewA leading artificial intelligence and advanced analytics organization is seeking an Agent Platform Engineer to help develop next-generation AI orchestration and decision-support platforms. Based in Los Angeles, California, the company specializes in integrating complex data sources into scalable intelligence solutions that support mission-critical operations, advanced analytics, and organizational workflows. This is an opportunity to work on cutting-edge AI technologies within a highly collaborative and innovative engineering environment. Role SummaryThe Agent Platform Engineer will design, build, and optimize enterprise-grade AI platforms that connect structured and unstructured data, knowledge graphs, retrieval systems, and intelligent workflows. This hands-on role focuses on developing production-ready AI applications, agent frameworks, workflow orchestration systems, retrieval pipelines, and model-serving infrastructure. The ideal candidate combines strong software engineering fundamentals with expertise in AI systems, distributed architectures, and scalable platform development. Key Responsibilities<ul><li>Design and implement intelligent workflow systems for research, analysis, automation, and decision-support use cases.</li><li>Develop scalable retrieval, search, and knowledge management capabilities across structured and unstructured datasets.</li><li>Build backend services, APIs, and platform capabilities supporting AI-driven applications.</li><li>Create resilient workflow orchestration patterns for long-running, distributed, and fault-tolerant processes.</li><li>Develop authorization, permission management, auditing, and governance mechanisms within AI platforms.</li><li>Optimize retrieval, inference, and execution performance across diverse deployment environments.</li><li>Fine-tune, evaluate, and integrate open-source AI models to support specialized business workflows.</li><li>Implement model routing, inference optimization, caching, and fallback strategies.</li><li>Build evaluation frameworks that measure system accuracy, reliability, performance, and operational effectiveness.</li><li>Develop observability, monitoring, alerting, and troubleshooting capabilities across platform components.</li><li>Partner with product, data, machine learning, infrastructure, security, and customer-facing teams to deliver scalable solutions.</li><li>Contribute to technical architecture, engineering standards, and long-term platform strategy.</li></ul>Additional Details<ul><li>Fully onsite 5 days per week</li><li>Individual contributor role with substantial technical ownership</li><li>Opportunity to work on advanced AI, automation, retrieval, and knowledge graph technologies</li><li>Staff-level candidates may provide technical leadership, mentorship, and architecture guidance</li><li>Candidates must be authorized to work in the United States and satisfy applicable regulatory employment requirements</li></ul>
2026-09-24T00:00:00Z

Agent Platform Engineer

Los Angeles, California
onsite
Permanent / Full Time
200000 - 300000 USD / Yearly
Software Engineer Company OverviewA leading artificial intelligence and advanced analytics organization is seeking an Software Engineer to help develop next-generation AI orchestration and decision-support platforms. Based in Los Angeles, California, the company specializes in integrating complex data sources into scalable intelligence solutions that support mission-critical operations, advanced analytics, and organizational workflows. This is an opportunity to work on cutting-edge AI technologies within a highly collaborative and innovative engineering environment. Role SummaryThe Software Engineer will design, build, and optimize enterprise-grade AI platforms that connect structured and unstructured data, knowledge graphs, retrieval systems, and intelligent workflows. This hands-on role focuses on developing production-ready AI applications, agent frameworks, workflow orchestration systems, retrieval pipelines, and model-serving infrastructure. The ideal candidate combines strong software engineering fundamentals with expertise in AI systems, distributed architectures, and scalable platform development. Key Responsibilities<ul><li>Design and implement intelligent workflow systems for research, analysis, automation, and decision-support use cases.</li><li>Develop scalable retrieval, search, and knowledge management capabilities across structured and unstructured datasets.</li><li>Build backend services, APIs, and platform capabilities supporting AI-driven applications.</li><li>Create resilient workflow orchestration patterns for long-running, distributed, and fault-tolerant processes.</li><li>Develop authorization, permission management, auditing, and governance mechanisms within AI platforms.</li><li>Optimize retrieval, inference, and execution performance across diverse deployment environments.</li><li>Fine-tune, evaluate, and integrate open-source AI models to support specialized business workflows.</li><li>Implement model routing, inference optimization, caching, and fallback strategies.</li><li>Build evaluation frameworks that measure system accuracy, reliability, performance, and operational effectiveness.</li><li>Develop observability, monitoring, alerting, and troubleshooting capabilities across platform components.</li><li>Partner with product, data, machine learning, infrastructure, security, and customer-facing teams to deliver scalable solutions.</li><li>Contribute to technical architecture, engineering standards, and long-term platform strategy.</li></ul>Additional Details<ul><li>Fully onsite 5 days per week</li><li>Individual contributor role with substantial technical ownership</li><li>Opportunity to work on advanced AI, automation, retrieval, and knowledge graph technologies</li><li>Staff-level candidates may provide technical leadership, mentorship, and architecture guidance</li><li>Candidates must be authorized to work in the United States and satisfy applicable regulatory employment requirements</li></ul>
2026-09-24T00:00:00Z

Application Security Engineer

Austin, Texas
onsite
Temporary / Contract
50 - 53 USD / Hourly
Robert Half is actively partnering with an Austin-based client to identify a Application Security Engineer (contract). In this role, you will will partner with software development, IT, and security teams to identify and mitigate application risks, implement secure development practices, and ensure compliance with cybersecurity standards and best practices. This role is hybrid in Austin, Tx. Key Responsibilities:<ul><li>Collaborate with development teams to establish and enforce secure coding standards, code review practices, and security-focused testing methodologies.</li><li>Conduct application security assessments, including code reviews, threat modeling, architecture reviews, and vulnerability analysis.</li><li>Develop and maintain application security policies, standards, procedures, and developer guidance materials.</li><li>Identify, prioritize, and coordinate remediation efforts for application vulnerabilities and security risks.</li><li>Monitor compliance with application security requirements, policies, and security tooling across the software development lifecycle.</li><li>Design and implement security controls including authentication, authorization, encryption, data protection, and network security measures.</li><li>Provide security training, awareness, and consultation to software engineering and technology teams.</li><li>Partner with stakeholders to evaluate security risks and integrate security best practices into development and operational processes.</li><li>Prepare security assessment findings, risk reports, and recommendations for leadership and technical teams.</li></ul>
2026-09-17T00:00:00Z

Azure Foundry Engineer

Fort Lauderdale, Florida
onsite
Temporary / Contract
0 - 0 USD / Yearly
We are looking for a senior Azure Foundry Engineer to lead the design and implementation of enterprise AI capabilities in Fort Lauderdale, Florida. This Long-term Contract position will focus on building a strong Azure AI Foundry foundation, enabling scalable generative AI solutions, and providing architectural guidance once the environment is established. The ideal candidate brings deep experience across the Microsoft AI ecosystem and can translate complex technical needs into secure, production-ready solutions. Responsibilities: • Architect and establish an Azure AI Foundry environment within the appropriate Microsoft tenant to support enterprise AI initiatives. • Create, deploy, and refine generative AI applications using Azure AI services and large language model capabilities. • Connect AI solutions with Azure-based platforms, external APIs, and internal business systems to enable practical use cases. • Design retrieval-based AI patterns by implementing vector storage, knowledge access strategies, and prompt workflows. • Define and enforce safeguards for security, governance, observability, and responsible AI operations across deployed workloads. • Improve solution efficiency by tuning performance, controlling operational costs, and planning for future scale. • Provide technical direction and a clear architectural overview after the foundational environment is implemented. • Collaborate with stakeholders to translate business objectives into production-ready AI engineering solutions.
2026-09-10T00:00:00Z

Quality Assurance Supervisor

Beloit, Wisconsin
onsite
Permanent / Full Time
80000 - 85000 USD / Yearly
We are looking for a Quality Assurance Supervisor to lead quality oversight activities within a manufacturing environment in Beloit, Wisconsin. This role is responsible for guiding quality technicians and auditors, maintaining strong compliance practices, and supporting product integrity across raw materials, packaging, and finished goods. The ideal candidate brings hands-on food or pet food manufacturing quality experience, strong knowledge of GMP and food safety requirements, and a practical approach to resolving quality issues and improving processes. Responsibilities: • Lead and support quality technicians and auditors by setting clear expectations, coaching daily performance, and conducting evaluations that reinforce accountability and development. • Examine batch documentation and related manufacturing records to confirm required process steps, inspections, testing activities, sampling, and sanitation tasks have been completed accurately and in compliance with established standards. • Monitor incoming materials, packaging items, labels, and completed products through audits and inspections to verify adherence to specifications and regulatory requirements. • Track compliance with plant quality and food safety programs, including good manufacturing practices, hygiene standards, allergen controls, sanitation procedures, pest management, calibration activities, and certification requirements. • Coordinate the review of test results for raw materials, packaging components, and finished goods, and help manage material disposition decisions such as release, hold, or further evaluation. • Administer the hold and rejection process by maintaining product status controls and supporting the release or disposal of nonconforming materials. • Partner with cross-functional teams to investigate quality concerns, including customer complaints, identify root causes, and help implement effective corrective actions. • Recommend practical improvements to quality systems, procedures, and workflow efficiency, and present solutions to quality and compliance leadership. • Support internal, regulatory, third-party, and customer audits by preparing documentation, participating during inspections, and assisting with corrective action responses. • Contribute to department communication and operational alignment by participating in meetings and carrying out additional quality-related assignments as needed.
2026-09-21T00:00:00Z

AWS Data Engineer

Dallas, Texas
onsite
Permanent / Full Time
105000 - 120000 USD / Yearly
Seeking a hands-on Data Platform Engineer to build and operate the AWS infrastructure supporting an enterprise analytics environment. This is an engineering-focused position centered on building pipelines, orchestration, and cloud infrastructure, not dashboards or business analysis. What You'll Do<ul><li>Build and maintain an AWS-based data platform and Amazon Redshift environment.</li><li>Code and build data pipelines using Python, dbt, and AWS Lambda.</li><li>Work across AWS services including S3, Glue, Step Functions, IAM, and CloudWatch.</li><li>Develop ETL/ELT processes and data transformation workflows.</li><li>Monitor pipeline health and troubleshoot failures, latency, and infrastructure issues.</li><li>Build for reliability, scalability, security, and cloud cost efficiency.</li><li>Support data ingestion into the warehouse environment.</li><li>Maintain data-flow documentation and operational runbooks.</li><li>Translate analytics requirements into technical pipeline and infrastructure solutions.</li><li>Recommend automation and architectural improvements as the platform grows.</li></ul>
2026-09-12T00:00:00Z

Integration and Automation Specialist

Minnetonka, Minnesota
remote
Permanent / Full Time
125000 - 140000 USD / Yearly
We are looking for an Integration and Automation Specialist to strengthen connectivity across enterprise applications and improve the way information moves throughout the organization. Based in Minnetonka, Minnesota, this role focuses on creating dependable integrations and scalable automation that support daily operations and long-term business goals. The position partners with technical teams, business stakeholders, and external providers to deliver secure, efficient solutions that reduce manual work, improve data accuracy, and increase system stability. Responsibilities: • Develop and support integrations that connect business systems and enable consistent, accurate data exchange across the enterprise. • Build automated workflows that streamline operational processes, reduce manual tasks, and improve efficiency at scale. • Configure and maintain middleware and integration tools to ensure reliable interoperability between cloud and on-premise applications. • Translate business and technical requirements into well-structured integration designs, mappings, and transformation logic. • Monitor interface performance, investigate failures, and resolve complex issues to maintain stable production operations. • Collaborate with IT teams, analysts, vendors, and operational partners to deliver secure and maintainable integration solutions. • Create and optimize API-based, file-driven, and message-oriented integrations to support a variety of application needs. • Apply strong data management practices to improve data quality, support master data consistency, and enable dependable downstream reporting. • Document integration architecture, workflow behavior, and support procedures to promote long-term maintainability and knowledge sharing.
2026-08-31T00:00:00Z

.Net/AI Software Engineer (C#/Claude AI/Azure)

Clearwater, Florida
onsite
Permanent / Full Time
100000 - 130000 USD / Yearly
We are looking for a senior-level Full Stack .Net/AI Engineer to join a manufacturing organization in Clearwater, Florida, where collaboration, initiative, and fresh ideas are genuinely encouraged. This role is ideal for someone who thrives in a fast-moving environment and enjoys building scalable software with a strong backend foundation while contributing to modern front-end experiences. You will play a key part in shaping a new processing platform and helping establish technical patterns that support long-term growth. Responsibilities: • Design, build, and enhance backend services and application logic using C# and .NET technologies for high-performance business systems. • Develop and support user-facing features with React and JavaScript, ensuring a seamless connection between front-end functionality and server-side components. • Architect and maintain secure, multi-tier cloud solutions within Azure, applying sound engineering practices for scalability, reliability, and performance. • Manage source control, deployment workflows, and delivery processes using Git, GitHub, and Azure DevOps to support efficient software releases. • Collaborate closely with cross-functional teammates to define technical solutions, review code, and contribute to a highly engaged team culture. • Apply strong web security standards and software design principles throughout the development lifecycle to produce maintainable, resilient applications. • Contribute to AI-enabled solution development by integrating Claude AI capabilities where they add value to product functionality and workflow efficiency. • Support the evolution of processing-related systems and, when applicable, bring domain insight from payroll or similar operational platforms.
2026-09-14T00:00:00Z

Analytics Application Engineer (Legal Industry)

River Edge, New Jersey
remote
Permanent / Full Time
90000 - 115000 USD / Yearly
We are looking for an Analytics Application Engineer to support and advance an internal reporting platform serving teams in River Edge, New Jersey. This position blends application engineering, data integration, and analytics development to deliver reliable dashboards and actionable operational insights. The ideal candidate will be comfortable working across the full stack, from syncing source-system data into a reporting database to shaping intuitive web-based reporting experiences for internal stakeholders. Responsibilities:• Develop, support, and improve a custom Next.js application that provides interactive dashboards, reusable reports, and performance metrics for internal teams.• Oversee the TypeScript-based data ingestion process that brings Salesforce and Litify information into PostgreSQL, with a focus on accuracy, consistency, and timely updates.• Structure and maintain the reporting database environment, including curated views, application-managed tables, historical metric records, and dashboard settings.• Administer deployments and recurring platform operations through Firebase hosting and GitHub Actions, while monitoring job health and resolving processing issues.• Configure and maintain authentication and authorization controls in Firebase to protect access to internal reporting tools.• Partner with business stakeholders to convert reporting needs into efficient queries, scalable data models, and user-friendly dashboard designs.• Investigate data or application issues across the reporting stack and implement fixes that improve reliability and performance.
2026-09-23T00:00:00Z

Quality Assurance Analyst - SAP

Madison, Wisconsin
onsite
Temporary to Hire
51.4615 - 59.587 USD / Hourly
We are seeking a Senior QA Analyst to help ensure SAP and business applications meet business requirements through comprehensive test planning, functional testing, test automation, defect identification, and release validation.This role will serve as a bridge between the technical/programming and business sides of application quality, partnering closely with developers, SAP/IT technical teams, business leaders, project stakeholders, and end users.The ideal candidate is comfortable working independently on complex projects, communicating with both technical and non-technical audiences, and taking ownership of quality throughout the software development and release lifecycle.What You’ll Do<ul><li>Review and analyze business and technical requirements to understand application functionality and expected outcomes.</li><li>Create and/or contribute to detailed test plans, test cases, and testing strategies.</li><li>Execute functional, integration, IT, and business testing.</li><li>Develop, maintain, and debug automated test scripts.</li><li>Create automation plans and incorporate automated testing into the software release pipeline.</li><li>Utilize Tricentis Tosca and Azure DevOps as key QA and release-management tools.</li><li>Schedule and monitor automated testing activities.</li><li>Identify, document, prioritize, and track defects and issues through resolution.</li><li>Partner with developers, technical teams, and business stakeholders to troubleshoot issues and determine appropriate solutions.</li><li>Support User Acceptance Testing (UAT), release validation, and application approvals.</li><li>Provide quality metrics and testing status updates to project stakeholders.</li><li>Participate in application releases, deployments, rollouts, and production validation.</li><li>Identify opportunities for application and process improvements.</li><li>Assist with user training and business rollouts as needed.</li><li>Provide Level 2/3 application support when issues cannot be resolved through the Help Desk.</li><li>Participate in projects ranging from smaller initiatives to enterprise-level implementations.</li><li>Help mentor and support less experienced QA team members and co-ops.</li></ul>
2026-09-18T00:00:00Z

Software QA Analyst - P&C Background

St. Petersburg, Florida
onsite
Permanent / Full Time
0 - 0 USD / Yearly
We are looking for a Software QA Analyst to join an Agile team in Florida, where quality is treated as a shared responsibility throughout the development lifecycle. This role is ideal for a testing specialist who can independently plan and execute validation activities, investigate issues thoroughly, and work closely with business analysts, developers, and client stakeholders. The position focuses on both manual and automated testing while helping ensure requirements are testable, releases are stable, and defect resolution stays on track. Responsibilities: • Develop and manage detailed test scenarios and test cases based on business needs, user stories, and acceptance criteria. • Perform manual testing across multiple sprint deliverables while maintaining clear visibility into progress, risks, and priorities. • Run and support automated test coverage using Selenium and related QA tools to improve consistency and efficiency. • Document defects with precise reproduction steps, supporting evidence, impact details, and environment information so issues can be resolved quickly. • Re-test resolved issues and complete regression validation to confirm changes do not negatively affect existing functionality. • Take an active role in Agile ceremonies by contributing testing insight during daily stand-ups, refinement sessions, planning meetings, and retrospectives. • Partner with business analysts and developers to review requirements early, identify gaps in testability, and reduce downstream rework. • Assist with release readiness activities, including pre-deployment coordination and post-release smoke testing. • Support client-facing testing efforts by guiding users through validation activities, helping triage reported issues, and coordinating next steps for resolution. • Contribute ideas that strengthen QA practices, improve team standards, and enhance overall product quality.
2026-09-09T00:00:00Z

AEO & AI Search Analyst

Torrance, California
onsite
Temporary / Contract
47 - 48 USD / Hourly
We are looking for an AEO & AI Search Analyst to join our large enterprise client in the South Bay. This Long-term Contract position focuses on strengthening brand presence across AI-driven discovery channels and search environments while turning performance data into practical recommendations. The role works closely with internal stakeholders and agency partners to deliver research, reporting, optimization guidance, and coordinated execution. This opportunity is best suited for someone who combines analytical depth with strong communication and project coordination skills. Responsibilities:• Track and evaluate brand visibility, citations, mentions, sentiment, accuracy, and share of voice across AI search platforms and answer engines.• Uncover gaps in performance, identify areas where brand information is incomplete or inaccurate, and highlight opportunities to improve digital presence.• Monitor developments in AEO/GEO/AI Search, and summarize trends, platform updates, risks and opportunities• Build and maintain dashboards, benchmarks, and recurring reports that help teams measure results and prioritize next steps.• Examine competitor performance in AI-generated results, comparison topics, and customer research journeys to surface strategic insights.• Research changes in search, answer engine optimization, and AI discovery trends, then summarize key risks, opportunities, and market developments for stakeholders.• Analyze search data to connect organic search behavior with AI visibility, including topic demand, user intent, keyword patterns, and content gaps.• Recommend content improvements that strengthen clarity, credibility, structure, and citation potential across digital assets.• Prepare presentation materials that translate detailed findings into clear business recommendations, progress updates, and action plans for leadership and cross-functional teams.• Support project coordination by tracking timelines, deliverables, dependencies, meetings, and follow-up actions across marketing, PR, analytics, IT, legal, and agency partners.
2026-08-29T00:00:00Z

Software Integration Engineer

Cambridge, Massachusetts
onsite
Permanent / Full Time
150000 - 180000 USD / Yearly
We are looking for a Software Integration Engineer to help connect industrial imaging hardware with reliable software systems that support modern manufacturing operations in Cambridge, Massachusetts. In this role, you will work across camera technologies, application software, and backend services to ensure image capture and device performance meet production needs. This position offers the chance to contribute to a growing team focused on practical computer vision solutions used in real factory environments. Responsibilities: • Build and support camera capture capabilities within production software workflows used in manufacturing environments. • Create and maintain integrations for GenICam-compatible cameras, including work with Basler and related imaging toolkits when applicable. • Investigate and resolve image acquisition problems such as timing inconsistencies, dropped frames, and synchronization failures. • Adjust and fine-tune imaging settings including exposure, gain, trigger behavior, and lighting coordination for different use cases. • Collaborate with software engineers to extend hardware connectivity and improve backend services for image capture and device management. • Assess suitable lenses, optics, and illumination approaches to improve image quality and application performance. • Develop and maintain interfaces between the platform and customer equipment, including industrial control and automation systems. • Support configuration of real-time monitoring and control environments tied to production operations where needed.
2026-09-21T00:00:00Z

Azure Endpoint Engineer

Jacksonville, Florida
onsite
Temporary / Contract
0 - 0 USD / Yearly
We are seeking an experienced Azure Endpoint Engineer to lead the design, deployment, and management of modern endpoint solutions across an enterprise Microsoft environment. This role will focus heavily on Microsoft Intune, endpoint security, device lifecycle management, and cloud-based endpoint administration.The ideal candidate is passionate about modern workplace technologies and has a strong background supporting large-scale Windows environments through Microsoft's cloud ecosystem. Responsibilities<ul><li>Design, implement, and administer Microsoft Intune and Endpoint Manager solutions</li><li>Manage Windows Autopilot deployments and device provisioning</li><li>Develop and maintain compliance, configuration, and security policies</li><li>Implement application packaging and deployment strategies</li><li>Support endpoint security initiatives utilizing Microsoft Defender technologies</li><li>Configure and manage Conditional Access and device compliance controls</li><li>Perform endpoint patching and update management through Intune</li><li>Automate administrative tasks using PowerShell scripting</li><li>Troubleshoot complex endpoint, enrollment, and policy issues</li><li>Collaborate with Infrastructure, Security, and Service Desk teams on enterprise initiatives</li><li>Create and maintain technical documentation, standards, and procedures</li></ul>
2026-09-24T00:00:00Z

Hardware Engineer

Lavergne, Tennessee
onsite
Permanent / Full Time
85000 - 95000 USD / Yearly
We're partnering with a growing technology organization in Nashville that is seeking a Hardware Engineer to support hardware testing, debugging, and product development efforts. This is an excellent opportunity for an engineer who enjoys hands-on troubleshooting, collaborating across teams, and working closely with R&D and manufacturing to bring products to market. What You'll Do<ul><li>Set up and maintain hardware testing and debug environments.</li><li>Troubleshoot hardware issues and support root cause analysis efforts.</li><li>Partner with R&D, manufacturing, and vendor teams to resolve technical challenges.</li><li>Perform signal measurements and bring-up testing.</li><li>Utilize lab equipment including oscilloscopes and digital multimeters.</li><li>Support PCB rework, soldering, and hardware validation activities.</li><li>Assist manufacturing teams with debugging and troubleshooting efforts.</li></ul>
2026-09-11T00:00:00Z

M365 Engineer

Madison, Wisconsin
remote
Temporary / Contract
58 - 66 USD / Hourly
Senior Microsoft 365 / Copilot & Power Platform EngineerWe are seeking a senior Microsoft technology professional to support enterprise Microsoft 365 initiatives, with a strong emphasis on Microsoft Copilot/Copilot Studio and Power Platform. This role combines hands-on solution development and implementation with administration, engineering, governance, optimization and ongoing support.What You’ll Do<ul><li>Design, build and implement solutions across Microsoft 365, Copilot and Power Platform</li><li>Lead or support end-to-end Microsoft Copilot Studio deployments</li><li>Develop and implement generative AI/Copilot solutions that improve business processes and user experiences</li><li>Build Power Platform solutions while also supporting governance, security, environments and enterprise rollout strategies</li><li>Administer and engineer Microsoft 365 environments, including Teams, SharePoint Online, Exchange Online, Microsoft Purview and Viva</li><li>Develop and maintain governance, security, compliance and adoption strategies</li><li>Automate administrative and operational processes using PowerShell and Microsoft Graph API</li><li>Troubleshoot and optimize Microsoft 365 environments and enterprise solutions</li><li>Create Power BI dashboards and reports to support operational and business needs</li><li>Participate in enterprise modernization, migration and continuous improvement initiatives</li></ul>
2026-09-24T00:00:00Z

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