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Full Time Full Stack Qa Engineer Jobs (NOW HIRING)

FriendliAI Corp

QA Engineer

San Francisco, CA · On-site

We are looking for a dedicated QA engineer who can own the product's quality, ensuring our product ... Own quality across FriendliAI's full platform stack: backend microservices, frontend, model ...

Renesas Electronics

Sr. QA Engineer

Los Angeles, CA · Hybrid

$150K - $175K/yr

The Senior QA Engineer on the Duro Design team defines, builds, and scales the quality systems that ... Full Stack Validation: Validate React interfaces, GraphQL APIs, and PostgreSQL data integrity to ...

Renesas Electronics

Sr. QA Engineer

Los Angeles, CA · On-site

$150K - $175K/yr

The Senior QA Engineer on the Duro Design team defines, builds, and scales the quality systems that ... Full Stack Validation: Validate React interfaces, GraphQL APIs, and PostgreSQL data integrity to ...

Radar Labs, Inc

Senior / Staff QA Engineer

New York, NY · On-site

$125K - $175K/yr

We say "Multi-Stack" because "Full-Stack" has the connotation of "Frontend and Backend", but Radar ... In addition to cash compensation, Radar offers full-time employees stock option grants under its ...

NinjaOne

QA Engineer

NC · On-site +1

We hire the best software engineers, but experience in our stack can't hurt: NinjaOne is built on ... We honor your flexibility needs with full-time work that is hybrid remote. We have you covered with ...

Renesas Electronics

Sr. QA Engineer

Los Angeles, CA · Hybrid

The Senior QA Engineer on the Duro Design team defines, builds, and scales the quality systems that ... Full Stack Validation: Validate React interfaces, GraphQL APIs, and PostgreSQL data integrity to ...

Apex Informatics

QA Engineer

Manhattan, NY · On-site

... problems across the full-stack as we continue to test and push new features in a fast paced ... or full time) in the Quality engineering team • Good communicator! Oversee the progress of ...

Mastech Digital

QA Engineer

Redmond, WA · On-site

$55 - $60/hr

We are currently seeking a QA Engineer for our client in the Consulting domain. We value our professionals, providing comprehensive benefits and the opportunity for growth. This is a Contract ...

Pavago

Quality Assurance Engineer

Quality Assurance Engineer (Manual + Automation SaaS) - Remote Position Type: Full-Time, Remote Working Hours: U.S. Business Hours (flexible for releases & sprints) About the Role We're hiring a ...

Cypress HCM

Sr. Full Stack Engineer

San Francisco, CA · On-site

$150 - $200/hr

Sr. Full Stack Engineer We're looking for a strong full stack engineer to join a collaborative ... Partner with QA to ensure the delivery of reliable, testable code with a strong emphasis on quality.

ECS

Quality Assurance Engineer

Washington, DC · On-site

Everforth ECS Federal is seeking a Quality Assurance Engineer to support a mission-focused federal IT program in Washington DC. Please Note: This position is contingent upon contract award. Join ...

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All JobsFull Time Full Stack Qa Engineer Jobs

Full Time Full Stack Qa Engineer information

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$44.5K

$134.8K

$190.5K

How much do full time full stack qa engineer jobs pay per year?

As of Jun 29, 2026, the average yearly pay for full time full stack qa engineer in the United States is $134,771.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,000.00 and $158,000.00 per year, depending on experience, location, and employer.

What is the difference between Full Time Full Stack Qa Engineer vs QA Tester?

AspectFull Time Full Stack Qa EngineerQA Tester
ResponsibilitiesDesigning test plans, automating tests, and ensuring software quality across front-end and back-end systemsExecuting test cases, reporting bugs, and verifying fixes
Skills & CertificationsKnowledge of programming, automation tools, and testing frameworks; often requires a degree in computer scienceUnderstanding of testing processes; certifications like ISTQB are common
Work EnvironmentCollaborates with developers, involved in development lifecycle, often in Agile teamsPrimarily involved in testing phases, working closely with QA teams and developers

Full Time Full Stack Qa Engineers have a broader role, combining development and testing skills to ensure software quality from multiple angles, while QA Testers focus mainly on executing tests and identifying bugs. Both roles are essential in software development but differ in scope and responsibilities.

More about Full Time Full Stack Qa Engineer jobs
What are the most commonly searched types of Full Stack Qa Engineer jobs? The most popular types of Full Stack Qa Engineer jobs are:
What job categories do people searching Full Time Full Stack Qa Engineer jobs look for? The top searched job categories for Full Time Full Stack Qa Engineer jobs are:
Full Time Full Stack Qa Engineer jobs near you

QA Engineer

FriendliAI Corp

San Francisco, CA • On-site

Full-time

Medical

Posted 7 days ago

Key responsibilities

  • Own quality across the full platform stack, including backend microservices, frontend, model deployments, and inference pipelines.

  • Build and maintain automated test suites using pytest and develop and run load and scalability tests using Locust.

  • Design and implement test strategies that account for LLM inference and validate model deployment workflows, multi-cloud orchestration, and service integrations.

Job description

About the Job
Friendli Suite is our SaaS platform that includes microservices, a frontend, multi-cloud infrastructure, enterprise authentication, billing, and organization management. However, what makes this role unique is that our platform delivers AI inference. Validating whether inference works well is a problem that traditional QA methods do not fully solve. A deployment can succeed technically and still produce poor inference.
We are looking for a dedicated QA engineer who can own the product's quality, ensuring our product works the way any well-run SaaS platform should, while also developing the approaches needed to validate AI inference quality, model deployments, and integrations that traditional testing alone cannot cover.
Key Responsibilities
  • Own quality across FriendliAI's full platform stack: backend microservices, frontend, model deployments, and inference pipelines.
  • Build and maintain automated test suites using pytest, covering unit, integration, and regression testing across backend services.
  • Develop and run load and scalability tests using Locust to validate platform performance under real-world conditions.
  • Own frontend and end-to-end testing with Playwright across the full user-facing product.
  • Design and implement test strategies that account for LLM inference.
  • Work closely with infrastructure and backend engineers to validate model deployment workflows, multi-cloud orchestration, and service integrations.
  • Identify coverage gaps, prioritize test investment, and build tooling and pipelines.

Qualifications
  • 3+ years of experience in software quality engineering, with a track record of owning test strategy.
  • Bachelor's or Master's degree in Computer Science, Computer Engineering, or equivalent.
  • Proficiency in Python and hands-on experience with pytest for test automation.
  • Experience with load and performance testing tools such as Locust.
  • Experience with browser automation and end-to-end testing frameworks such as Playwright.
  • Working knowledge of LLM serving.
  • Strong experience testing distributed systems with multiple interconnected components.
  • Strong systems thinking.
  • Comfortable working in a fast-moving environment.

Preferred Experience
  • Familiarity with AI infrastructure or model serving systems
  • Experience building QA infrastructure from scratch in an early-stage or scaling environment.
  • Background in performance and scalability testing for cloud-native or multi-cloud systems.
  • Experience covering both backend and frontend testing in a single role.
  • Exposure to observability tooling and how it supports debugging and quality validation.

Benefits
  • Flexible working hours
  • Daily lunch and dinner provided; unlimited snacks and beverages
  • Supportive and highly collaborative work environment
  • Health check-up support and top-tier equipment/hardware support
  • A front-row seat to the generative AI infrastructure revolution
  • Competitive compensation, startup equity, health insurance, and other benefits.

About FriendliAI
FriendliAI is building the world's best AI inference platform that makes large language and multi-modal models fast, efficient, and deployable at scale. We power high-throughput, low-latency AI workloads for organizations worldwide and integrate directly with Hugging Face, giving developers instant access to over 500,000 open-source models.
We are a small, fast-moving team doing work that matters at one of the most exciting moments in the history of technology. With our world-class inference engine, we are building a platform that the AI industry can actually rely on.

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