QA Automation Engineer

• Lead the design, implementation, and support of highly complex Data Loss Prevention (DLP) and data protection solutions.
• Develop automation solutions using Python, Bash/Shell scripting, and other scripting languages to streamline DLP data onboarding, validation, and operational processes.
• Design and maintain automated workflows that prepare, transform, and integrate sensitive data sources for enterprise DLP platforms.
• Ensure DLP systems are receiving accurate and current data feeds, including HR, customer, PII, and other sensitive data classifications.
• Provide cybersecurity consulting and technical guidance to business and technology partners to ensure compliance with enterprise security policies and standards.
• Design, document, test, implement, and support security solutions across network, endpoint, cloud, application, and data protection domains.
• Perform root-cause analysis, technical troubleshooting, and resolution of complex security and integration issues.
• Conduct security risk assessments and recommend remediation strategies for identified vulnerabilities.
• Evaluate emerging technologies, perform proof-of-concept testing, and develop implementation plans for enterprise deployment.
• Collaborate with engineers, architects, application teams, infrastructure partners, and security stakeholders across the organization.
• Lead, mentor, and provide technical direction to junior engineers and other team members.
• Drive continuous improvement initiatives focused on automation, operational efficiency, and security effectiveness.

Lead DLP Data Integration and Automation Engineer

• Responsible for advancing and scaling certificate automation across the enterprise.
• Focus on automated certificate deployment, installation, and validation across infrastructure platforms.
• Partner with applications, infrastructure, and business teams to reduce operational risk.
• Develop and maintain automation frameworks using tools like Ansible, APIs, and scripting.
• Integrate certificate automation with infrastructure platforms.
• Establish and enforce standardized deployment patterns for certificate installation.
• Implement pre- and post-installation validation controls.

Senior Security Engineer – Certificate Automation Engineer

• Advocate and uphold quality assurance standards
• Lead teams and manage client accounts with strategic planning
• Mentor and develop junior staff to enhance their skills
• Assure project success and uphold top standards
• Motivate and inspire team members to deliver quality work
• Identify opportunities to enhance business success

Quality Engineer, ERP Automation – Manager

• Grow sales of B&R's complete product range in the territory by working on new and existing sales opportunities
• Identify, define, and develop the best technical solution and strategy for customer applications
• Hold in-depth technical presentations and discussions with the customers
• Expand customer base through the development and execution of a Target Account Business Plan
• Develop market intelligence and document this knowledge in B&R’s CRM system (Customer Relationship Management) system
• Work with Marketing, Business Development, and other resources to promote sales efforts
• Attend trade shows to seek out potential customers and to represent B&R at these shows; attend yearly sales meetings and workshops
• Increase sales with existing customers through exceptional sales support as well as the introduction of new products and services
• Additional duties as assigned

Sales Engineer – Automation

• Develop and maintain EAG/API-gateway automation components that integrate with Government-approved CI/CD pipelines.
• Create and validate configuration-as-code, pipeline-compatible deployment artifacts, gateway promotion workflows, API validation gates, and migration automation components.
• Support automated checks for API specification quality, governance compliance, Zero Trust controls, telemetry, configuration drift, and production-readiness evidence.
• Build automation and validation evidence that supports PWS automation outcomes, including 75 percent manual onboarding reduction, 90 percent automated onboarding success rate, and 100 percent Zero Trust/governance compliance prior to production deployment.
• Troubleshoot gateway-side CI/CD integration issues, including deployment failures, configuration errors, credential/certificate dependencies, environment promotion issues, and validation gate failures.
• Support Git-based version control, branching, pull/merge request workflows, artifact repositories, and release evidence.
• Coordinate with Government CI/CD, DevSecOps, cybersecurity, identity, network, and release teams for platform-owned dependencies.
• Produce pipeline documentation, automation runbooks, validation logs, deployment evidence, rollback steps, and knowledge-transfer materials.

Gateway Automation Engineer

• Design, develop, and maintain automated test frameworks for UI, API, and backend testing.
• Lead the automation strategy, prioritizing efforts based on risk, impact, and business needs; establish and enforce automation standards and best practices.
• Convert manual test cases into automated solutions.
• Integrate automated tests into CI/CD pipelines.
• Execute, monitor, and maintain automated regression and smoke test suites to ensure product stability and quality.
• Conduct root cause analysis on defects and test failures.
• Prepare and communicate quality metrics and status reports to management.
• Collaborate with Product Owners, Business Analysts, Developers, and other stakeholders to ensure quality requirements are clearly defined.

Senior Quality Assurance Engineer – Automation

• Administer, support, troubleshoot, and maintain enterprise scheduling and orchestration platforms, including technologies such as Autosys, Airflow, and similar enterprise automation solutions
• Manage Linux-based production infrastructure, including system configuration, patching, performance tuning, vulnerability remediation, and operational support activities
• Develop and maintain automation using Python, Go, Shell, or similar scripting and programming languages to improve platform reliability, scalability, and operational efficiency
• Design, implement, and support workflow orchestration solutions, including job dependencies, scheduling logic, error handling, and integrations across distributed systems
• Participate in platform upgrades, migrations, and modernization initiatives while ensuring stability and availability of production services
• Diagnose and resolve complex infrastructure, application, and workflow-related issues through effective troubleshooting and root cause analysis
• Collaborate with application, infrastructure, security, and engineering teams to deliver reliable scheduling and automation services
• Support certificate management, security remediation activities, compliance requirements, and infrastructure maintenance efforts
• Contribute to monitoring, observability, performance optimization, and resiliency improvements across scheduling and orchestration platforms
• Participate in production support processes, including incident response, problem management, and continuous improvement activities
• Support the adoption of modern infrastructure and automation practices, including Infrastructure-as-Code, cloud technologies, container platforms, and CI/CD capabilities where appropriate
• Document operational procedures, platform standards, architecture decisions, and automation solutions

Senior Infrastructure Engineer – Orchestration and Automation

• Design, develop and enhance RPA application Use Cases, including full life cycle of applications development.
• Act as the primary owner of Incident Management.
• Diagnose, analyze, and resolve incidents (including root‑cause analysis).
• Ensure the smooth execution of daily RPA Use Cases supporting various Daimler Truck regions.
• Coordinate across departments for incidents and change requests.
• Develop and maintain operational reporting (transaction volume, costs, stability, performance).
• Manage and guide first-level support in markets and serve as the main contact for all incidents.
• Ensure continuous business operations and minimize disruption.
• Plan, manage, and coordinate RPA Use Case program releases.
• Ensure documentation and quality gates requirements are met.
• Prepare release notes in collaboration with markets, business units, and development partners.
• Continuously improve operational processes using agile “inspect & adapt” principles.
• Support ongoing optimization of operational stability, scalability, and performance.
• Collaborate with stakeholders to ensure seamless integration of interfaces between: RPA Use Cases and interfacing applications.
• Support onboarding of new partners and ensure end‑to‑end system stability.
• Work closely with Business Operations, Product Owners, QA, Infra‑Ops, and IT Architecture teams.

Robotics Process Automation Engineer

• Architect and drive AI-based automation strategies to replace manual QA
• Utilize AI agents to modernize existing features
• Build and refine workflows where AI agents generate code
• Establish robust validation frameworks to ensure AI-generated artifacts meet quality standards
• Act as a "Team Captain" for automation initiatives
• Collaborate with engineering teams to integrate automated testing into the core development lifecycle

Automation AI Ops Engineer

• Build automation solutions that reduce manual operational work and improve the scalability, reliability, and consistency of production environments.
• Develop intelligent diagnostics, remediation workflows, and self-service tools that enable Engineering and Support teams to resolve issues faster.
• Strengthen incident response by investigating complex production issues, identifying root causes, and driving long-term reliability improvements.
• Enhance monitoring, alerting, dashboards, and telemetry to improve visibility into system health, performance, and operational risk.
• Partner with Engineering teams to improve observability standards, operational readiness, platform stability, and production support practices.
• Support performance and scalability initiatives by identifying degradation trends, diagnosing bottlenecks, and recommending optimization strategies.
• Build and integrate reliability automation across AWS, Azure, CI/CD pipelines, deployment workflows, and cloud-native platform environments.
• Leverage AI-enabled tools and emerging technologies to improve troubleshooting, knowledge management, operational workflows, and engineering efficiency.

Senior Site Reliability Automation Engineer

• Drive U.S. growth by identifying new utility/industrial automation opportunities, shaping market penetration strategy, and securing product homologation with key utilities.
• Act as a grid‑automation SME, lead pre‑sales technical activities, and support solution design across architectures, protection systems, and integration workflows.
• Contribute to vPAC and IEEE working groups, representing the company to help shape emerging grid automation standards and interoperability frameworks.
• Build strategic partnerships, represent the company at industry forums, and channel field insights to evolve offerings like SSC600, SMU600, and CogniEN.

Senior Technical Business Developer – Grid Automation

• Develop AI-driven test agents to automate routine testing tasks such as test case generation, documentation, and scripting.
• Implementing automation frameworks for testing AI models and software components.
• Integrate test automation solutions into existing automation frameworks.
• Design and develop automated test scripts using open-source tools and frameworks.
• Identify, analyze, and document defects in AI models and software applications.
• Collaborate with developers and data scientists to ensure AI algorithms meet quality standards.
• Monitor and troubleshoot AI system performance to improve accuracy and efficiency.
• Integrate security testing into the automation framework to identify vulnerabilities in AI systems.
• Conduct penetration testing to assess security risks in AI-powered applications.
• Ensure compliance with security standards and best practices for AI models and software.
• Stay updated on industry trends and advancements in AI testing methodologies and cybersecurity.

QA Test Automation Developer

• Design and support automation solutions that improve cybersecurity Incident Management process efficiency
• Work with business stakeholders and technical teams to analyze workflows, identify automation opportunities, gather requirements, and help deliver scalable solutions
• Support Cyber Incident Coordination and response activities by helping triage, track, and coordinate incident-related actions
• Facilitate stakeholder communication and maintain incident documentation from initial detection through resolution
• Assess business and operational workflows to identify opportunities for automation and AI-enabled enhancements
• Partner with business stakeholders and technical teams to gather requirements and help design, develop, and implement scalable solutions
• Build, implement, and maintain automation capabilities using scripting, orchestration, APIs, AI tools, and Microsoft 365 platforms
• Streamline supported workflows to reduce manual effort, improve efficiency, and promote consistent execution
• Track action items, and key deliverables to support project execution and timely follow-through
• Create, edit, and maintain process documentation, stakeholder communications, and other written materials
• Facilitate timely communication across incident stakeholders
• Maintain incident records, timelines, action items, decision logs, and post-incident documentation
• Communicate clearly with technical and non-technical audiences

Security Automation Engineer – Security Engineering

• The AI Automation Engineer will develop AI-assisted automation, integrations, scripts, workflows, and reusable components that improve engineering productivity, testing, documentation, observability, incident response, and operational efficiency.
• This role will support the AI-First IT team by building automation capabilities that can be piloted, refined, and scaled across IT engineering, infrastructure, operations, and employee productivity use cases.
• Work closely with AI solutions engineers, architects, application teams, infrastructure and operations teams, data teams, security, risk governance, and business partners to deliver secure, reliable, and reusable automation assets.
• Document usage patterns, reusable prompts, workflows, and enablement materials that help teams adopt AI tools effectively and responsibly.
• Build AI-enabled workflows that support coding, test generation, documentation, requirements analysis, code review, knowledge retrieval, and developer productivity.
• Partner with engineering and operations teams to identify repetitive work that can be simplified through AI-enabled automation.
• Create operational runbooks, support documentation, and repeatable workflows for AI-enabled operations use cases.

AI Automation Engineer

• Design and implement comprehensive end-to-end quality processes for an engineering team dedicated to achieving full test automation, eliminating the need for separate QA.
• Leverage the expertise of our Quality Center of Excellence (CoE) to embed a culture of quality within software engineering teams, driving the development of Fidelity’s mobile, web, and API experiences.
• Champion best practices, including automation technology, test pyramid health, mobile testing strategies, AI-driven testing solutions, release management, SDLC ways of work, and Definition of Done.
• Take ownership of team outcomes and success metrics, including test coverage, automation levels, change failure rate, and pipeline stability.
• Mentor and collaborate with team and project leads to develop and refine test strategy, scope, and mobile testing frameworks.
• Monitor, maintain, and optimize test suites and CI/CD pipelines to ensure a balance between reliability, test coverage, and developer productivity.
• Explore and implement AI/ML-driven testing tools and techniques to enhance test efficiency, defect detection, and overall quality assurance.

Senior Automation Engineer

• Streamline the data, analytics, and model development lifecycle by identifying pain points and productivity barriers and determining ways to resolve them through automation.
• Understand the current process and technical complexities of developing and deploying data pipelines and model builds and develop automation solutions to improve and extend the existing process to become an unattended delivery pipeline.
• Collaborate closely with product development, architecture, data engineering and testing teams to understand their current build and release processes and make recommendations for improvement through the automation of various tasks.
• Partner with cross-functional stakeholders, including development, operations, quality assurance and security, to streamline processes.
• Develop and continuously improve automation solutions to enable teams to build and deploy quality data and code efficiently and consistently.
• Build automated testing solutions in support of quality management objectives to reduce manual effort.
• Build automated environment provisioning solutions in response to changes in processing demand.
• Build automated feedback mechanisms to monitor the performance of models in production.
• Work closely with cross-functional stakeholders to analyze and troubleshoot complex production issues.
• Prepare and present design and implementation documentation to multiple stakeholders.
• Promote automation across the data management and analytics delivery organization.
• Provide leadership, coaching, and mentoring to team members and develop team to work with all areas of the organization.
• Work with stakeholders to ensure that business needs are clearly understood and that services meet those needs.
• Anticipate and analyze trends in technology while assessing the emerging technology’s impact(s).

MLOps Automation Engineer – Lead

• Provides technical guidance for assigned project team members
• Creates an approachable, inclusive team environment
• Encourages active participation in project team discussions
• Engages with leadership to provide continuous improvements suggestions to the DT&A and overall PF Strategy
• Leads medium sized projects or scope of work for large projects
• Builds a strong collaborative relationship with clients
• Supports scope definition, change management, and client communications
• Builds a strong relationship with other 3rd party vendors or system integrators
• Identifies opportunities to expand work for PF
• Broadens knowledge of the overall Digital Transformation and Automation pillars
• Develops project execution and Configuration Strategy
• Resolves moderately complex operational and people-related challenges
• Encourages teams to explore new methods, tools, and industry developments
• Identifies execution risks and takes corrective action proactively
• Reviews deliverables for quality and compliance before client submission
• Balances schedule, quality, and client priorities in decision-making
• Manages team utilization and workload forecasting to meet billability goals
• Ensures quality assurance, risk management and compliance across all aspects of DT&A

Senior Automation Engineer – cGMP

• Design, develop, and maintain automation for log ingestion, normalization, enrichment, and transformation across diverse data sources and formats
• Engineer, test, deploy, and maintain automated detections in SIEM/SOAR ecosystems
• Leverage AI and data science techniques to improve detection coverage
• Develop reusable playbooks and workflows in SOAR and workflow tools
• Automate case and ticket lifecycle management in systems such as ServiceNow, Jira, or Mission Control
• Build robust integrations with APIs, webhooks, and event buses
• Implement CI/CD practices for automations and detections
• Monitor and improve automation reliability and performance using metrics
• Collaborate with SOC analysts, incident responders, and threat intelligence teams

• Leverage AI (Playwright MCP) to accelerate test automation, refactoring, debugging, and defect triage
• Build scalable, reusable automation frameworks for API (REST/GraphQL) and UI testing
• Develop and execute automated suites for functional, regression, and integration coverage
• Improve test stability by identifying and resolving flaky tests through root cause analysis
• Integrate automation into CI/CD pipelines (GitHub Actions), enabling quality gates and continuous testing
• Partner with engineering teams to enhance product testability and streamline quality practices
• Track and report quality metrics (coverage, stability, defect leakage) using Practitest
• Manage and scale test execution via Selenium Grid and distributed environments

Automation Engineer 5 – AI Accelerated API, UI Automation

• Design, build, and maintain automated testing frameworks for Windows endpoints, macOS endpoints, VDI environments, and Microsoft 365 applications.
• Establish continuous testing practices that validate patches, feature updates, policy changes, security configuration updates, device provisioning changes, and application releases before broad deployment.
• Create reusable test suites for endpoint engineering scenarios including provisioning, compliance, remediation, configuration drift, application delivery, sign-in/access validation, and core user workflows.
• Use automation tools such as UiPath, PowerShell, and platform-specific scripting to orchestrate end-to-end validation across workplace technologies.
• Partner with Windows, Mac, Mobility, VDI, and Digital Workplace engineers to embed automated testing into release and change processes.
• Support pilot rings, phased deployments, rollback readiness, and release governance by providing reliable pre-release and post-change validation.
• Define test strategies, quality gates, test data approaches, and reporting standards that improve release consistency and operational confidence.
• Integrate automated testing into CI/CD workflows and engineering pipelines using Git-based practices and shared automation services where applicable.
• Improve platform reliability and user experience by identifying regression risks early and reducing manual validation effort across teams.
• Document test frameworks, validation standards, runbooks, and recommendations to enable broader adoption of automation-first quality practices.

QA Automation Engineer jobs in North Carolina

See all jobs on JobTailor

Lead DLP Data Integration and Automation Engineer

Senior Security Engineer – Certificate Automation Engineer

Quality Engineer, ERP Automation – Manager

Sales Engineer – Automation

Gateway Automation Engineer

Senior Quality Assurance Engineer – Automation

Senior Infrastructure Engineer – Orchestration and Automation

Robotics Process Automation Engineer

Automation AI Ops Engineer

Senior Site Reliability Automation Engineer

Senior Technical Business Developer – Grid Automation

QA Test Automation Developer

Security Automation Engineer – Security Engineering

AI Automation Engineer

Senior Automation Engineer

MLOps Automation Engineer – Lead

Senior Automation Engineer – cGMP

AI Automation Engineer

Automation Engineer 5 – AI Accelerated API, UI Automation

Continuous Testing Automation Engineer, UiPath