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Work From Home Sdet Qa Engineer Jobs (NOW HIRING)

TabaPay

Software QA Engineer

Mountain View, CA · Remote

$85K - $95K/yr

... from top tier university 5+ years of experience as a test/QA engineer or related work experience ... In addition to a full range of medical, financial, and/or other benefits, dependent on the position ...

Abbott

Senior SDET

California, MD · Remote

$86K - $173K/yr

Work closely with developers and QA team members to integrate automation into the development ... may vary from the range posted. JOB FAMILY: Product Development DIVISION: ADC Diabetes Care ...

Abbott

Senior SDET

California, MD · Remote

$86K - $173K/yr

Work closely with developers and QA team members to integrate automation into the development ... may vary from the range posted. JOB FAMILY: Product Development DIVISION: ADC Diabetes Care ...

Abbott

Senior SDET

California, MD · Remote

$86K - $173K/yr

Work closely with developers and QA team members to integrate automation into the development ... may vary from the range posted. JOB FAMILY: Product Development DIVISION: ADC Diabetes Care ...

Abbott

Senior SDET

California, MD · Remote

$86K - $173K/yr

Work closely with developers and QA team members to integrate automation into the development ... may vary from the range posted. JOB FAMILY: Product Development DIVISION: ADC Diabetes Care ...

BayNova LLC

Quality Assurance Specialist

Arlington, VA · On-site +1

... client, in a fully remote / work from home role. This role performs functional and integration ... of software engineering concepts such as software development standards, quality assurance ...

OVA.Work

Sr SDET Engineer

Work is seeking a highly motivated and detail-oriented SDET Engineer to join their growing ... Testing or QA tools. Company : OVA is the most advanced Automated, Intelligent, intuitive ...

RIT Solutions, Inc.

SDET Engineer

RIT Solutions, Inc. is seeking an SDET Engineer with extensive experience in software testing and test automation. The role involves testing microservices architectures and requires strong ...

ASCENSUS

Software Development Engineer SDET

Boston, MA · Remote

$120/hr

Work in an agile development environment, collaborating with the team to deliver quality software ... All email communications from Ascensus or its hiring managers originate from @ascensus.com or ...

MM International

SDET - 100 % Remote

Cincinnati, OH · Remote

$51.25 - $66/hr

What you will be doing: · Work in aprjn agile team, contributing to quality engineering efforts ... applications from the user interface as well as through APIs · Author test cases in test ...

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How much do work from home sdet qa engineer jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for work from home sdet qa engineer in the United States is $48.54, according to ZipRecruiter salary data. Most workers in this role earn between $38.22 and $55.53 per hour, depending on experience, location, and employer.

What is a work from home SDET QA engineer?

A Work From Home SDET (Software Development Engineer in Test) QA Engineer is a professional responsible for designing, developing, and executing automated tests to ensure the quality and functionality of software applications, all while working remotely. They combine software development skills with a focus on quality assurance, often writing test scripts, identifying bugs, and collaborating with development teams. This role requires proficiency in programming, understanding of testing frameworks, and effective communication to ensure software meets quality standards, regardless of physical location.

What are the key skills and qualifications needed to thrive as a work from home SDET QA engineer?

To excel as a Work From Home SDET QA Engineer, you need strong programming skills (such as Java, Python, or C#), a deep understanding of software testing principles, and typically a bachelor's degree in computer science or a related field. Familiarity with automation tools like Selenium, Jenkins, and test management systems, as well as relevant certifications (e.g., ISTQB), is often required. Excellent problem-solving abilities, attention to detail, and effective remote communication skills help you stand out in this role. These capabilities are crucial for efficiently identifying defects, ensuring product quality, and collaborating successfully in distributed teams.

How do work from home SDET QA engineers typically collaborate with development teams remotely?

Work From Home SDET QA Engineers often use collaboration tools like Slack, Jira, and Zoom to stay connected with developers and other QA team members. Daily stand-ups, sprint planning meetings, and code reviews are usually conducted virtually, ensuring everyone stays aligned on project goals and testing progress. Clear communication and proactive documentation are essential in this remote setup to address issues promptly and maintain test coverage. Building strong relationships with developers also helps streamline debugging and automation efforts, making remote teamwork both efficient and effective.
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Work From Home Sdet Qa Engineer jobs near you
Infographic showing various Work From Home Sdet Qa Engineer job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 17% Part Time, and 4% Contract. Highlights an 92% Physical, 1% Hybrid, and 7% Remote job distribution, with an average salary of $100,970 per year, or $48.5 per hour.

Sr Software Development Engineer in Test - AI-First Development

Las Vegas Sands Corp.

Remote

$113K - $146K/yr

Full-time

Re-posted 18 days ago

Job description

Job Description:
Position Overview
The primary responsibility of the Senior Software Development Engineer in Test (AI-First Development) is to design, orchestrate, and validate the automated verification systems that gate every change shipped through the AI-First Software Development Lifecycle (SDLC). This role operates within an AI-First SDLC in which AI agents serve as primary producers of code, configuration, and test artifacts, while the Senior Software Development Engineer in Test (SDET) provides test strategy, context engineering, human-in-the-loop governance, and final accountability for the quality of delivered software.
The Senior SDET is an experienced quality engineer or test automation engineer who has adopted modern AI-assisted development tools as a core part of their daily workflow and is prepared to grow into deeper agent orchestration, context engineering, and verification responsibilities.
All duties are to be performed in accordance with departmental and Las Vegas Sands Corp.'s policies, practices, and procedures. All Las Vegas Sands Corp. Team Members are expected to conduct and carry themselves in a professional manner at all times. Team Members are required to observe the company's standards, work requirements and rules of conduct.
Essential Duties & Responsibilities
  • Test Strategy, Agent Workflow Design, and Orchestration
    • Design, build, and maintain AI agent workflows that produce unit, integration, end-to-end, performance, and security test suites from specifications and intent documents.
    • Decompose acceptance criteria and technical contracts into discrete, verifiable test scenarios that AI agents can execute effectively within defined boundaries.
    • Select and configure appropriate AI models, agent frameworks, and test-generation tooling for each workflow based on risk level, coverage requirements, and cost considerations.
    • Construct and maintain test context that provides agents with test patterns, fixture strategies, data classification rules, and domain information needed to produce correct and consistent test outputs.
    • Contribute to the testing toolchain, including reusable test skills, automation hooks, and project memory files that provide persistent context across agent sessions. Authoring of advanced toolchain components may be developed on the job.
    • Systematically capture defect patterns, escape modes, and verification failures from each development cycle and encode them back into shared context, test skills, and agent configurations so that subsequent work becomes more reliable.
    • Participate in collaborative refinement sessions to align on acceptance criteria, technical contracts, and test context packages before agent execution begins.
  • Verification and Quality Assurance
    • Operate the multi-layer Verification Framework on every pull request, with primary ownership of the automated testing layer, validating functional correctness, security posture, performance characteristics, code quality, and regulatory compliance.
    • Apply human oversight at governance checkpoints appropriate to the risk level of each workflow, including pre-execution review, in-flight observation, and post-execution audit.
    • Review, test, and approve AI-generated code and test suites, ensuring they meet Sands testing standards, architectural guidelines, and security requirements before promotion to production.
    • Verify that AI-generated tests exercise specified intent rather than mirroring implementation, and reject suites that pass without actually exercising the behavior the specification asked for.
    • Support independent QA verification after merge, contributing to system, integration, and regression testing in production-like environments and partnering with the QA Lead on User Acceptance Testing coordination where applicable.
    • Support agent observability practices that track test behavior, flakiness signals, coverage trends, and defect escape rates across workflows.
  • Test Engineering and Architecture
    • Architect and deliver scalable test automation frameworks across web, API, mobile, and data layers using AI-First methodologies as the primary development approach.
    • Define test data strategies, test environment patterns, and verification contracts that serve as foundational context for agent-driven test generation.
    • Collaborate with cross-functional teams including engineering, product, infrastructure, and security to translate business requirements into executable verification workflows.
    • Coordinate with QA and engineering teams across global locations to ensure consistency in testing standards and verification practices.
    • Write, debug, and refactor test code directly when agent outputs require manual intervention or when designing novel test approaches.
    • Ensure delivered test automation meets enterprise standards for reliability, maintainability, observability, and operational readiness.
  • Continuous Improvement and Mentorship
    • Evaluate emerging AI models, agent frameworks, and test automation tools to continuously improve verification effectiveness and output quality.
    • Mentor team members on AI-assisted testing practices, context engineering techniques, and verification methodologies.
    • Document test patterns, prompt and context libraries, and lessons learned to build institutional knowledge.
    • Participate in collaborative construction sessions, guiding agent execution in real time and coaching team members on effective test orchestration techniques.
  • Perform job duties in a safe manner.
  • Attend work as scheduled on a consistent and regular basis.
  • Perform other related duties as assigned.

Minimum Qualifications
  • At least 21 years of age.
  • Proof of authorization to work in the United States.
  • Bachelor's degree in Computer Science, Software Engineering, or a related field, or equivalent professional experience.
  • Must be able to obtain and maintain any certification or license, as required by law or policy.
  • 5+ years of professional software development or test automation experience, including time in senior or lead positions where the candidate owned the design and delivery of non-trivial verification systems.
  • Demonstrated daily use, over the past 6 months or more, of at least one modern AI-assisted development tool such as Claude Code, Cursor, GitHub Copilot, or Windsurf, with the ability to speak concretely about effective usage patterns and failure modes.
  • Strong foundational knowledge in at least one major programming ecosystem (such as .NET/C#, JavaScript/TypeScript, Python, Java, or Go) and hands-on experience with at least one modern test automation framework (such as Playwright, Cypress, REST Assured, pytest, or comparable). Familiarity with additional layers (UI, API, integration) is a plus.
  • Experience deploying and operating test automation on at least one major cloud platform (Azure, AWS, or GCP). Azure experience is a plus given the LVS footprint but is not required.
  • Working knowledge of DevOps practices and CI/CD pipelines, including familiarity with how automated test gates fit into a build pipeline.
  • Demonstrated experience conducting thorough code reviews, identifying defects in both human- and AI-generated outputs, and providing constructive technical feedback.
  • Excellent written and verbal communication skills, with the ability to articulate technical decisions and trade-offs to both technical and non-technical stakeholders.
  • Strong interpersonal skills with the ability to communicate effectively and interact appropriately with management, other Team Members and outside contacts of different backgrounds and levels of experience.

Preferred Qualifications
  • Practical experience constructing structured context for LLMs, including prompt design, RAG pipelines, context window optimization, project memory files (such as CLAUDE.md or AGENTS.md), and integration with MCP servers. Familiarity with tactical context management techniques such as plan mode, context editing, and multi-session splitting.
  • Experience authoring reusable skills, configuring automation hooks, building custom MCP servers, or otherwise assembling agent toolchains that enable repeatable, production-grade test workflows.
  • Exposure to one or more specialized testing approaches such as performance and load testing (K6, JMeter, Gatling), contract testing, mutation testing, or chaos engineering. Proficiency in any one is a plus; depth across all is not expected.
  • Knowledge of secure testing practices, OWASP guidelines, and SAST/DAST/SCA tooling, and experience working within a regulated industry such as gaming, finance, healthcare, or hospitality. Understanding of data privacy and responsible AI principles.
  • Working knowledge of relational or non-relational databases sufficient to model test data, design verification queries, and reason about query performance.

Physical Requirements
Must be able to:
  • Physically access assigned workspace areas with or without reasonable accommodation.
  • Work remotely as necessary.
  • Work indoors and be exposed to various environmental factors such as, but not limited to, CRT, noise, and dust.
  • Utilize laptop and standard keyboard to perform essential functions of the job.

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