1,036 Automated Testing jobs available for remote work from home. Apply for positions such as IT Systems Analyst II (Remote), Senior Backend Engineer II, AI Native, Vertical Experiences, Test Professional, and more! Discover the best work-from-home or hybrid, full- and part-time jobs.
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The IT Systems Analyst serves as a liaison between business stakeholders and technical teams to gather requirements and recommend technology solutions. They are also responsible for executing end-to-end test plans, troubleshooting system issues, and providing technical support to end-users.
Design, build, and maintain backend services that support device connectivity, telemetry ingestion, and command operations within a microservices environment. Collaborate with cross-functional teams to define APIs and leverage AI-native workflows to ship scalable, resilient features.
The SDET is responsible for ensuring the quality and performance of software products through the development and execution of manual and automated test cases. They collaborate with cross-functional teams to define test strategies, identify defects, and maintain automated testing frameworks within CI/CD pipelines.
The engineer will design, build, and operate resilient, software-defined environments using SRE principles and Infrastructure-as-Code. They will integrate agentic AI into deployment pipelines to enable dynamic, self-healing, and AI-optimized infrastructure operations.
The Director of Finance Systems & ERP will lead the engineering organization responsible for the company's financial technology ecosystem and define the long-term technical strategy. This role involves overseeing major transformation initiatives, including ERP modernization and the evolution of monetization models, while partnering with cross-functional leadership.
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The Senior Manager will define the enterprise-grade data platform roadmap, architecture, and governance framework to support business and revenue objectives. They will collaborate with engineering and IT teams to build secure, compliant data pipelines and integrate advanced GenAI-driven analytics.
You will design and execute risk-based testing strategies, including functional, API, and automated UI testing using Playwright. Additionally, you will collaborate with cross-functional teams to advocate for quality, maintain CI/CD pipelines, and perform root cause analysis on production issues.
You will build and optimize high-load, data-intensive backend services and data pipelines using Python. Additionally, you will be responsible for scraping APIs at an industrial scale and ensuring system stability through monitoring and automated testing.
Lead a team of BI and data specialists to build scalable data models, analytics solutions, and reporting tools. Partner with stakeholders to translate business needs into actionable insights and maintain high standards for data governance and quality.
Review and validate generated code against software engineering prompts to ensure technical accuracy and problem-solving effectiveness. Evaluate test suites for robustness and identify gaps or ambiguities in code quality.
Develop and maintain robust user interface components for web applications while ensuring high performance and scalability. Collaborate with design and backend teams to convert Figma designs into functional code and manage automated testing processes.
You will design, build, and maintain customer integrations connecting the core platform with various enterprise tools. This involves collaborating with internal teams and external stakeholders to ensure reliable, scalable integration solutions.
Design and develop Python backend services and APIs for a greenfield AI solution, including LLM integrations and retrieval-augmented generation pipelines. Implement agent orchestration, guardrails, and automated evaluation frameworks to ensure high-quality, grounded AI outputs.
The Senior Platform Engineer designs, builds, and operates foundational infrastructure and cloud control planes to support research and integration capabilities. They are responsible for automating provisioning, maintaining Kubernetes clusters, and developing platform APIs to enable self-service for product teams.
The consultant will manage the full project life cycle for D365 Finance implementations, including requirements gathering, system configuration, and data migration. They are also responsible for conducting client workshops, performing functional testing, and providing ongoing support to ensure successful project delivery.
The Senior Platform Engineer develops foundational infrastructure, automation, and software to support the Mayo Clinic Platform's research and integration capabilities. This role involves designing and operating cloud infrastructure, managing Kubernetes clusters, and building platform APIs to enable self-service for product teams.
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The engineer will architect, provision, and maintain production-grade Kubernetes clusters while managing identity brokering services via Keycloak and Okta. They are also responsible for designing automated CI/CD pipelines and implementing robust platform security controls across all environments.
The Senior QA Automation Engineer will execute functional, UI, and end-to-end testing across web applications and transactional workflows. They will also develop and maintain automated test suites using Selenium and JavaScript/TypeScript while collaborating with engineering teams to ensure high-quality deployments.
You will own the end-to-end development of features, including UI, API, and data layers, from design to production support. You will also collaborate with cross-functional teams to build reliable software while leveraging AI tools to accelerate development.
You will be responsible for extending and maintaining the OXS C# regression framework to ensure the reliability of low-latency streaming services. This involves creating automated test suites, validating streaming data flows, and partnering with engineering teams to improve software quality and testability.
Lead the design and development of scalable software solutions to modernize and automate complex global freight workflows. Partner with stakeholders to build AI-enabled and agentic solutions that improve decision-making and operational efficiency.
You will lead and mentor a team of QA engineers to define and execute testing strategies across manual and automated platforms. Additionally, you will drive quality advocacy and standardize best practices within an Agile environment to ensure secure and reliable software delivery.
Build and maintain safe, measurable foundations for agentic software development, including isolated execution environments, agent-ready repository guidance, and integrations with Linear, GitHub, CI, testing, and review workflows. Establish evaluation benchmarks and adoption metrics, then use pilot feedback to improve agent quality, safety, developer trust, and engineering outcomes.
Develop and execute satellite verification and validation activities across Flatsat, HWIL/SWIL, and simulator environments, including test plans, procedures, automated scripts, formal test events, and reporting. Support requirements development and satellite architecture documentation, while troubleshooting integration issues and coordinating test activities across engineering teams.
Develop and execute manual and automated tests for Salesforce and connected applications, including end-to-end, regression, smoke, API, and integration testing. Identify risks and defects early, maintain reliable automation, integrate tests into CI/CD workflows, and collaborate with engineering, product, and QA teams to improve release quality.
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Design and maintain automated test frameworks and suites, integrate testing into CI/CD pipelines, and conduct performance, scalability, and reliability testing. Develop testing tools, analyze system behavior and performance, support release validation, and collaborate with engineering teams to improve product quality.
Own risk-based testing strategies and build reliable automated coverage across functional, API, integration, hardware, POS, and end-to-end workflows. Integrate quality checks into CI/CD, lead defect and release-risk reviews, validate complex integrations, and advance AI-assisted quality practices while mentoring teammates.
Build scalable, reliable, high-performance backend solutions for iGaming products, owning backend features from development through production. Collaborate with engineers and cross-functional teams to deploy, monitor, and resolve incidents affecting backend services.
The QA Automation Engineer will build and execute regression, smoke, and performance automation scripts while documenting feature behavior. They will collaborate with product and customer-facing teams to ensure quality throughout the SDLC and incorporate user feedback into testing strategies.
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