812 Automated Testing jobs available for remote work from home. Apply for positions such as Full Stack Developer, Staff / Senior Engineer, Backend-Focused & Greenfield Agentic Project, Test Case Designer- Federal Health, and more! Discover the best work-from-home or hybrid, full- and part-time jobs.
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The developer will design, develop, and deploy scalable software systems using Java and JavaScript within the SDLC. Responsibilities include managing CI/CD pipelines, optimizing application servers, and mentoring other engineers.
Embed with various engineering teams to design and build end-to-end agentic payment capabilities. Develop high-performance backend services and scalable cloud infrastructure to enable AI agents to transact safely.
Design and maintain comprehensive test cases and scenarios to validate enterprise healthcare applications against business and technical requirements. Collaborate with cross-functional teams to ensure software quality and maintain traceability between requirements and production releases.
The role involves planning, executing, and validating comprehensive testing activities across the software development lifecycle for federal healthcare systems. Key duties include creating test scripts, tracking defects, and collaborating with multidisciplinary teams to ensure high-performing technology solutions.
Design and build new iOS features for a B2B financial platform, focusing on cash flow management, banking transactions, and AI-powered accounting. You will own the end-to-end development process, shape architectural decisions, and mentor other engineers.
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Lead the implementation of a comprehensive test automation strategy leveraging AI across the entire testing pyramid. Collaborate with product engineering to build testable systems and integrate automated tests into CI/CD pipelines.
Execute end-to-end manual and automated testing across web and mobile platforms to ensure product quality. Collaborate with cross-functional teams to validate requirements, report defects, and maintain comprehensive test suites.
Design, build, and maintain scalable software solutions while collaborating with cross-functional teams to optimize platform performance. The role involves architecting high-quality code and leveraging AI-assisted tools to accelerate delivery cycles.
Develop and execute automated test plans and scripts to maintain quality standards for cybersecurity software. Collaborate with engineers to resolve bugs and improve continuous integration systems.
Develop new features for customer-facing platforms and internal intelligence tools across the full stack. Design and maintain APIs while contributing to AI initiatives and architectural decisions.
Design and operate critical payment-domain services, including gateway integrations, payout orchestration, and reconciliation. Collaborate with cross-functional teams to build secure, scalable flow-of-funds primitives and improve engineering quality through observability and automated testing.
Lead and grow a team of payments engineers while setting the technical direction for the payments platform. Oversee the architecture of payment flows, including authorization, settlement, and merchant invoicing, ensuring high reliability and security.
In this role, you will design, build, secure, and optimize the OCI Platform while collaborating with a team of OCI engineers. You will implement automation for self-service provisioning and management across various cloud environments.
The Senior Product Engineer will innovate and build new APIs to enhance the customer journey and optimize lending platforms. They will also participate in deep architectural discussions to shape the future of the company's financial products.
Lead quality assurance and define the test strategy for a large-scale cloud data engineering programme on AWS. Oversee automated testing frameworks, data pipeline validation, and risk management within a CI/CD environment.
Develop modern AI-powered applications and integrations using a full-stack approach across front-end, backend, and cloud infrastructure. Ensure the scalability, security, and operational efficiency of AI automation capabilities for federal government clients.
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Establish and lead engineering operations standards, including CI/CD, release governance, and DevSecOps practices for a large-scale federal data modernization program. Partner with stakeholders to ensure cloud platforms remain reliable, secure, observable, and cost-transparent.
Design and develop responsive, accessible public-facing portal user interfaces for data exploration and visualization. This includes integrating geospatial maps, building interactive charts, and consuming RESTful APIs within an Agile environment.
The QA Engineer will plan and execute test cases to ensure the reliability of business operations systems. Responsibilities include managing test environments, recording software defects, and installing hardware and software components.
Design, develop, and maintain scalable Linux infrastructure and production systems to ensure operational excellence. Collaborate with development and security teams to automate deployments and mitigate vulnerabilities.
Design and deliver scalable enterprise-grade Generative AI solutions using LLM pipelines, RAG, and agentic systems. Lead the end-to-end production of AI products while managing timelines and milestones within an Agile environment.
Build and maintain tools and utilities that enable internal development teams to deliver high-quality software. Collaborate with cross-functional teams to develop scalable solutions and lead code reviews to maintain engineering standards.
Design, develop, and deliver high-impact product features using a modern cloud-native stack. Collaborate cross-functionally with Product, Design, and Data teams while leveraging AI-native tools to accelerate development.
Set the technical direction for ingesting, transforming, and delivering healthcare data at scale on a FHIR-based platform. Lead the implementation of AI-native engineering practices and mentor senior and mid-level engineers.
Lead the development of high-quality software and infrastructure improvements to scale the ReflexAI platform. Partner with product and ML teams to execute technical strategies and mentor other software engineers.
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Design and govern enterprise-wide API management strategies across a multi-cloud environment, focusing primarily on Microsoft Azure APIM. Lead the development of API standards, security architectures, and CI/CD pipelines to enable secure and scalable digital transformation.
Design, develop, and deploy .NET Core-based microservices and scalable cloud-native applications on AWS. Maintain CI/CD pipelines, ensure application observability, and collaborate with remote teams within an Agile/SAFe framework.
Design, develop, and deploy .NET Core-based microservices and scalable cloud-native applications on AWS. Maintain CI/CD pipelines and ensure application performance through monitoring and observability standards.
Build and evolve the quality platform, including automation, developer tooling, and telemetry systems to enable confident software shipping. Partner on solution design and quality strategy to ensure software is testable, observable, and measurable.
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