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Sr Automation Qa Engineer Jobs in Raleigh, NC (NOW HIRING)

Lead AI Quality Assurance Engineer

Raleigh, NC · Hybrid

$125K/yr

... Assurance Engineering team plays a critical role in ensuring the reliability, security, and ... By championing quality, governance, automation, and continuous improvement, the team helps ...

Quality Assurance Engineer

Oxford, NC · On-site

$70K - $95K/yr

... quality-oriented, without sacrificing plant capacities and output. Required Knowledge & Skills: * Bachelor of Science degree, such as Engineering, Microbiology, Chemistry and minimum of 5 years of ...

... quality-oriented, without sacrificing plant capacities and output. Required Knowledge & Skills: * Bachelor of Science degree, such as Engineering, Microbiology, Chemistry and minimum of 5 years of ...

ClifyX is a company seeking a QA Automation professional ... The role requires extensive experience in Quality Engineering and involves developing test ...

Martin Marietta is seeking a Senior Automation Engineer to join the Enterprise Engineering Services Team as part of the Automation Group. The Automation Group is responsible for providing world-class ...

Senior Automation Engineer

Raleigh, NC · On-site

$101K - $132K/yr

Martin Marietta is seeking a Senior Automation Engineer specializing in the AVEVA PI System to join ... Monitor PI System health, availability, data quality, interfaces, buffering, archives, security ...

Senior Automation Engineer

Raleigh, NC · On-site

$101K - $132K/yr

Martin Marietta is seeking a Senior Automation Engineer specializing in the AVEVA PI System to join ... Monitor PI System health, availability, data quality, interfaces, buffering, archives, security ...

Senior Automation Engineer

Durham, NC

$100K - $131K/yr

Summary The Senior Automation Engineer reports to the Site ITOT Head and is responsible for ... Partner with Quality to ensure a quality and compliant manufacturing environment. * Problem solve ...

Manage organizational demand for Quality Assurance services in the areas of test automation and ... Proficiency in multiple programming languages such as Python or Java. * Strong experience with test ...

We are hiring an Associate QA Engineer to join our innovative engineering team. This role is scoped and ideal for a recent college graduate with a Bachelor's degree and foundation in Computer Science ...

Showing results 41-60

Sr Automation Qa Engineer information

See Raleigh, NC salary details

$11

$50

$67

How much do sr automation qa engineer jobs pay per hour?

As of Sep 4, 2026, the average hourly pay for sr automation qa engineer in Raleigh, NC is $50.00, according to ZipRecruiter salary data. Most workers in this role earn between $41.35 and $57.74 per hour, depending on experience, location, and employer.

What is a Sr Automation QA engineer?

Sr Automation QA Engineers are experienced professionals who design, develop, and maintain automated testing frameworks to ensure the quality and reliability of software products. They work closely with development teams to identify test requirements, write test scripts, and execute automated tests to catch bugs early in the development process. These engineers also analyze test results, troubleshoot issues, and contribute to continuous integration and deployment pipelines. Their role is crucial in improving testing efficiency, reducing manual effort, and delivering high-quality software products.

How does a Sr Automation QA engineer typically collaborate with development and product teams throughout the software development lifecycle?

A Sr Automation QA Engineer works closely with development and product teams from the early stages of planning through release. They participate in sprint planning and design discussions to understand requirements and identify potential risks. Throughout development, they create and maintain automated test scripts, provide feedback on testability, and report defects directly to developers. Regular communication ensures that quality standards are met, and collaboration helps streamline the testing process, promoting faster and more reliable releases.

What are the key skills and qualifications needed to thrive as a Sr Automation QA engineer?

To thrive as a Sr Automation QA Engineer, you need expertise in software testing methodologies, test automation frameworks, and programming languages such as Java, Python, or JavaScript, typically supported by a bachelor’s degree in computer science or a related field. Familiarity with automation tools like Selenium, Cypress, Jenkins, and version control systems, as well as certifications such as ISTQB, are commonly required. Strong analytical thinking, attention to detail, effective communication, and leadership abilities set top candidates apart. These skills and qualities are crucial for ensuring software quality, efficient test automation, and seamless collaboration within development teams.

What is the difference between Sr Automation Qa Engineer vs Automation Qa Engineer?

AspectSr Automation Qa EngineerAutomation Qa Engineer
Required CredentialsBachelor's in CS or related, experience in automation tools, scripting skillsBachelor's in CS or related, basic automation knowledge, scripting skills
Work EnvironmentFast-paced, collaborative teams in tech companiesDevelopment or QA teams, software testing environments
Employer & Industry UsageTech firms, software companies, startupsSoftware development companies, IT services

The main difference between a Sr Automation Qa Engineer and an Automation Qa Engineer lies in experience level and responsibility. The senior role typically involves leading automation efforts, designing frameworks, and mentoring junior staff, while the standard role focuses on executing automation test cases. Both roles require similar technical skills and are common in tech and software industries.

Are Sr Automation QA Engineers in demand?

Senior Automation QA Engineers are in high demand due to the increasing reliance on automated testing to improve software quality and delivery speed. Skills in scripting, testing tools like Selenium or Appium, and experience with CI/CD pipelines enhance job prospects in this field.

Is senior automation QA engineer a good career?

A senior automation QA engineer is a valuable role in software development, focusing on designing and maintaining automated testing frameworks using tools like Selenium or TestNG. It offers strong job growth, competitive salaries, and opportunities to work with advanced testing technologies, making it a good career choice for those interested in quality assurance and automation. Success in this role often requires programming skills, attention to detail, and continuous learning of new testing tools and methodologies.

What cities near Raleigh, NC are hiring for Sr Automation Qa Engineer jobs?

Cities near Raleigh, NC with the most Sr Automation Qa Engineer job openings:

Infographic showing various Sr Automation Qa Engineer job openings in Raleigh, NC as of August 2026, with employment types broken down into 94% Full Time, 2% Part Time, and 4% Contract. Highlights an 84% Physical, 5% Hybrid, and 11% Remote job distribution, with an average salary of $104,010 per year, or $50 per hour.

Lead AI Quality Assurance Engineer

Envestnet

Raleigh, NC • Hybrid

$125K/yr

Full-time

Medical, Retirement, PTO

This job post has expired today. Applications are no longer accepted.


Job description

The application window will close Month Day, Year 

Job Location   

The primary work location for this role is Berwyn, Raleigh, Boston, Chicago, or Seattle with a hybrid work model.   

About Envestnet  

Envestnet is an adaptive WealthTech company that is redefining the future of wealth management by helping advisors meet the moment with its comprehensive technology, actionable insights, and industry leading support. Backed byover 25 years of experience and approximately $7.0 trillion in platform assets, Envestnet is trusted by over one third of financial advisors across leading banks, wealth managers, brokerages, and RIAs.   

For a deeper look at how Envestnet is shaping the future of financial advice, visit www.envestnet.com.   

The Team You’ll Join  

The Quality Assurance Engineering team plays a critical role in ensuring the reliability, security, and effectiveness of Envestnet’s technology solutions, with a growing focus on AI-enabled products and platforms. Working at the intersection of engineering, data science, product, cybersecurity, and business operations, the team develops and executes innovative testing and validation strategies that help deliver trusted experiences for clients and internal stakeholders alike. By championing quality, governance, automation, and continuous improvement, the team helps accelerate the adoption of emerging technologies while ensuring solutions are scalable, compliant, and built to meet the highest standards of performance and customer confidence.

How You’ll Contribute  

Ensures that artificial intelligence solutions are accurate, reliable, secure, compliant and aligned with business and client expectations. Combines traditional QA practices with AI / ML validation techniques to test data integrity, model performance, automation workflows and user outcomes. Works with engineering, data science, product management, cybersecurity, legal and risk teams to validate AI-enabled products and operational processes. Continuously improves testing frameworks, monitoring methodologies, governance standards and automation capabilities to support scalable and trustworthy AI adoption.

  • Leads testing efforts for moderately complex AI products, features and platform enhancements.
  • Designs advanced test plans covering model accuracy, bias detection, explainability and operational resilience.
  • Develops automated testing frameworks and monitoring approaches for AI systems.
  • Performs detailed analysis of defects, model drift and production quality issues.
  • Partners with cross-functional stakeholders to define acceptance criteria and quality standards.
  • Mentors junior analysts and reviews testing deliverables for quality and consistency.
  • Supports implementation of enterprise AI governance and risk management controls.
  • Recommends improvements to testing methodologies, tooling and operational processes.
  • Facilitates quality reviews, stakeholder workshops, model validation discussions, and testing strategy sessions.
  • Identifies operational, technical, compliance, and model-related risks and recommends mitigation strategies.
  • Leads validation activities for AI models, data pipelines, automation workflows, user-facing AI capabilities, vendors, tools, and third-party technologies.
  • Evaluates quality, reliability, security, governance, and compliance considerations associated with AI products and services.

What You’ll Need to Bring  

  • Candidates should demonstrate the relevant experience, skills, and capabilities needed to successfully perform in the role. Relevant experience may be gained through current responsibilities, prior roles, project work, leadership opportunities, or other comparable experiences.
  • Ability to evaluate complex problems, identify root causes, assess alternatives, and implement practical, scalable, data-driven solutions.
  • Demonstrated ability to establish and maintain productive relationships across business, technology, product, engineering, data science, and risk organizations.
  • Knowledge of process improvement techniques, operational workflows, dependency management, quality optimization, and governance practices.
  • Ability to communicate technical and non-technical concepts clearly to diverse audiences, including leadership stakeholders.
  • Experience coordinating cross-functional initiatives, managing dependencies, tracking progress, and delivering measurable outcomes.
  • Strong understanding of AI concepts, machine learning fundamentals, AI system capabilities, limitations, risks, and practical applications, with experience validating AI/ML models, Generative AI applications, LLM-enabled systems, or data science solutions.
  • Experience with automated testing frameworks, API testing, model evaluation, prompt testing, hallucination testing, data quality validation, AI governance controls, and regulatory, security, privacy, or responsible AI requirements.

Why You’ll Enjoy Working at Envestnet  

Help shape the future of WealthTech. At Envestnet you’ll gain hands-on experience and collaborate with some of the industry’s brightest minds to deliver meaningful, innovative solutions that make a real difference. 

We value flexibility in how and where work gets done, and we recognize strong performance with meaningful rewards—because your contributions should drive both business success and your own personal growth. If you’re looking for a place where your work has impact, your development is supported, and your contributions are truly valued, Envestnet is where you can build your future.  

The opportunity is now!  

Sponsorship  

This position is not open to candidates requiring visa sponsorship  

Our Investment in You 

This role offers a base salary range of $152,300 to $190,400. The range listed represents a good-faith estimate of base salary compensation for this position and does not include incentive compensation, equity or benefits. Individual pay will be determined based on factors including, but not limited to, relevant experience, skills, education, certifications, and geographic location, in accordance with applicable pay transparency laws.  This role is eligible for an additional incentive component as part of the total rewards package.   

 

We provide a comprehensive suite of benefits - subject to Envestnet’s plan eligibility rules - that support your overall well-being including, medical insurance, paid time off (PTO), 401k company match, paid parental leave, education reimbursement, disability coverage and mental health & wellness support. Our investment in you means supporting you professionally, financially, and personally at every stage of your journey with us.  Please visit our benefits page on our career site to learn more.  

  

Our Commitment to Inclusion & Belonging  

Envestnet is an Equal Opportunity Employer and is committed to creating an inclusive environment for all employees and applicants. We welcome and value individuals of all backgrounds and do not discriminate based on race, color, religion, creed, sex (including pregnancy or related medical conditions), gender identity or expression, sexual orientation, national origin, ancestry, age, disability, genetic information, military or veteran status, citizenship status, or any other status protected by applicable law. We encourage individuals from all backgrounds to apply.  

 

We strive to provide an inclusive application and interview process. If you are a candidate with a disability and require reasonable accommodation, please contact us at careers@envestnet.com. Please include your full name, the title of the role you are applying for, and the accommodation necessary toassistyou with the recruiting process.       

 

Recruitment Fraud 

At Envestnet, safeguarding the trust and safety of job seekers is a top priority. We are aware that scammers may impersonate Envestnet recruiters or create fake job opportunities to deceive candidates. Review the information on our recruitment fraud awareness page to help you recognize and avoid recruitment fraud. 

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