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Qe Engineer Jobs (NOW HIRING)

AI QE Architect Location: Charlotte, North Carolina (onsite) Employment Type: contract Position ... In this role, you will lead the transition from traditional Quality Engineering to an AI-augmented ...

Data QE

Tampa, FL · On-site

$108K - $129K/yr

Data QE Job Type: Full Time Location: Tampa, FL * Overall Experience required minimum 8+ Years ... Technical skills - 1 . ETL Data warehousing 2. Advanced SQL 3. Programming (Python/Java) 4. Agile ...

Field Services Engineer

Buffalo, NY · On-site

$25 - $35/hr

QE Solar is known for an owner's mindset in delivering consistent quality and service to our ... As a Field Services Engineer, you are responsible for providing ongoing field services support to ...

Senior Quality Engineer

Edmond, OK · On-site

$80K - $108K/yr

Own QE processes and strategies at the project level, ensuring critical tasks are aligned with engineering priorities. * Partner with cross-functional teams to establish QE practices early in the ...

Senior Quality Engineer

Edmond, OK

$80K - $108K/yr

Own QE processes and strategies at the project level, ensuring critical tasks are aligned with engineering priorities. * Partner with cross-functional teams to establish QE practices early in the ...

QE Lead (Automation)

Santa Clara, CA · On-site +1

$90K - $115K/yr

Are you interested in working with the World's leading AI-powered Quality Engineering Company ... We are looking for a QE Lead (Automation) to join our growing team in United States! Role Summary:

QE Lead (Automation)

Santa Clara, CA · On-site

$90K - $115K/yr

Are you interested in working with the World's leading AI-powered Quality Engineering Company ... We are looking for a QE Lead (Automation) to join our growing team in United States! Role Summary:

QE Automation Engineer Location: Sunnyvale, CA (Onsite) Duration: 6 months (possibility of an extension) Implementation Partner: Infosys End Client: To be disclosed JD: Mandatory Skills: Core Java ...

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How much do qe engineer jobs pay per year?

As of Jun 7, 2026, the average yearly pay for qe engineer in the United States is $84,039.00, according to ZipRecruiter salary data. Most workers in this role earn between $72,000.00 and $93,000.00 per year, depending on experience, location, and employer.

What is the difference between Qe Engineer vs Software Tester?

AspectQe EngineerSoftware Tester
Primary FocusQuality assurance, process improvement, automation, and system reliabilityManual testing, bug detection, and validation of software functionalities
Required SkillsTesting tools, scripting, automation, understanding of development processesTest case creation, execution, defect reporting, attention to detail
Work EnvironmentCollaborates with development teams, involved in continuous integrationTypically performs manual testing, often in dedicated testing teams
CertificationsISTQB, CSTE, or similarOften no formal certification required, but ISTQB is common

Qe Engineers and Software Testers both focus on software quality, but Qe Engineers have a broader role including automation and process improvement, while Software Testers primarily perform manual testing. Qe Engineers often work closely with development teams to enhance testing frameworks, whereas Software Testers focus on executing test cases and reporting bugs.

What are some common challenges QE Engineers face when integrating automated testing into existing development workflows?

QE Engineers often encounter challenges such as resistance to change from development teams, the complexity of legacy codebases, and ensuring that automated tests remain reliable as the application evolves. Successfully integrating automation requires strong communication with developers and product managers, as well as a solid understanding of the project's architecture. Overcoming these obstacles typically involves gradual adoption, clear documentation, and continuous collaboration to ensure that automated tests provide real value without disrupting established workflows.

What are QE Engineers?

QE Engineers, or Quality Engineering Engineers, are professionals responsible for ensuring the quality of software products through automated and manual testing processes. They work closely with development teams to design test plans, create test cases, and implement testing strategies that identify bugs and ensure products meet quality standards. QE Engineers often use automation tools to streamline repetitive testing tasks and focus on improving software reliability, performance, and security. Their goal is to catch issues early in the development cycle and help deliver high-quality software to end users.

What are the key skills and qualifications needed to thrive as a QE Engineer, and why are they important?

To thrive as a QE (Quality Engineering) Engineer, you need a solid grasp of software testing methodologies, programming/scripting skills, and a background in computer science or a related field. Experience with automation tools (such as Selenium, JUnit, or TestNG), CI/CD systems, and knowledge of programming languages like Java or Python are typically required. Strong analytical thinking, attention to detail, and effective communication skills help QE Engineers identify issues and collaborate with development teams. These competencies ensure the delivery of high-quality software products and help streamline development processes.
More about Qe Engineer jobs
What cities are hiring for Qe Engineer jobs? Cities with the most Qe Engineer job openings:
What states have the most Qe Engineer jobs? States with the most job openings for Qe Engineer jobs include:
Infographic showing various Qe Engineer job openings in the United States as of May 2026, with employment types broken down into 96% Full Time, 1% Part Time, and 3% Contract. Highlights an 90% Physical, 4% Hybrid, and 6% Remote job distribution, with an average salary of $84,039 per year, or $40.4 per hour.

Other

Posted 10 days ago


Job description

Job Title: AI QE Architect

Location: Charlotte, North Carolina (onsite)

Employment Type: contract

Job Description:

Position Overview

We are seeking an AI QE Architect to serve as a dedicated AI Change Agent for our customer. In this role, you will lead the transition from traditional Quality Engineering to an AI-augmented ecosystem. You will be responsible for defining the strategy, building high-impact AI use cases, and modernizing the QE landscape using Generative AI and Agentic frameworks.

A critical component of this role is deep familiarity with Claude Code, as it is a core tool within the customer's existing environment.

Core Responsibilities

  • Strategy & Assessment: Evaluate the current QE landscape (tools, frameworks, processes, and team maturity). Define and drive a comprehensive Agentic AI-led QE transformation roadmap.
  • AI Implementation: Design and implement hands-on AI-driven QE solutions, including:
  • Autonomous Test Generation: Creating test cases and scripts using LLMs.
  • Self-Healing Automation: Building frameworks that automatically adapt to UI/code changes.
  • Intelligent Analytics: Developing defect prediction models and automated triaging systems.
  • Synthetic Data: Implementing AI-driven test data generation.
  • Ecosystem Modernization: Integrate AI capabilities into existing CI/CD pipelines and DevOps workflows to accelerate delivery.
  • Tooling & R&D: Evaluate next-gen QE platforms, build Proof of Concepts (POCs), and develop reusable accelerators for scalable adoption across the enterprise.
  • Leadership (Player-Coach): Act as a hands-on technical leader who can both architect high-level strategy and contribute directly to code and implementation.
  • Stakeholder Management: Collaborate with business, product, and engineering leadership to communicate progress, outcomes, and the value of AI initiatives.

Technical Skills & Qualifications

  • Foundational Experience: 10 14 years of experience in Quality Engineering or Software Development in Test (SDET), with a track record of leading enterprise-scale transformations.
  • AI & GenAI Expertise: * Proven experience with Agentic AI and GenAI frameworks (e.g., LangChain, CrewAI, AutoGen, or Cursor).
  • Specific knowledge of Claude Code and its application in development/testing workflows.
  • Deep understanding of LLMs and multi-agent systems applied to QE.
  • Core QE Proficiency: Expertise in modern automation tools like Playwright, Selenium, or Cypress.
  • Strong grasp of API testing, microservices, and cloud-native architectures.
  • DevOps & Cloud: Hands-on experience with GitHub Actions and CI/CD integration.
  • Familiarity with cloud platforms (AWS, Azure, or Google Cloud Platform) in the context of AI and testing.
  • Execution: Ability to build POCs from scratch and scale them into production-ready frameworks.
  • Communication: Exceptional ability to explain complex AI concepts to non-technical stakeholders and senior leadership.