Top Remote Automation Engineer Jobs

As a Senior Automation Engineer, you will develop and maintain automation solutions for power systems, lead projects, program PLC and SCADA applications, and support quality assurance checks while traveling 25% of the time.

Lead execution of Product Engineering AI and automation initiatives across photonics products. Build and deploy reusable AI/automation tools, transform engineering data into AI-ready systems, and drive cross-functional adoption to improve development, qualification, manufacturing, and reliability processes.

Design, build, and maintain automated test frameworks and scripts. Lead test strategy, planning, and execution across functional, load, integration, security, server-side, and ETL testing. Create test artifacts, run automated tests, analyze results, report defects, participate in CI/CD, code reviews, and agile ceremonies, and drive issue resolution.

The QA Automation Engineer will develop testing tools in Python, collaborate with developers to maintain system tests, and execute testing plans.

Lead development and automation of test plans and suites for an AI-powered patient summarization capability in a federal clinical viewer. Validate C-CDA XML documents, verify accurate extraction and AI summaries, build automated validation frameworks, run functional/integration/regression/performance/UAT, support CI/CD quality gates, and collaborate with engineers, clinicians, and stakeholders to ensure clinical accuracy, traceability, and release readiness.

Lead QA automation efforts across UI, API, and data layers: design and execute manual and automated tests, build and improve Selenium/Playwright frameworks, validate data with complex SQL, integrate tests into CI/CD, reduce flakiness, and mentor other QA engineers to improve overall product quality.

Expand and own automated test coverage for the Kitchen Display System: design and execute UI, API, regression, and smoke tests; build scalable automation frameworks; maintain CI/CD test pipelines; investigate defects and improve test reliability; collaborate with developers, product, and QA; use AI-assisted tools to boost test design and engineering productivity.

Operate and scale production AI inference infrastructure, run releases and capacity changes, build self-service CD pipelines and automation, extend telemetry and observability, collaborate on SLOs, post-mortems, and capacity planning to reduce operational toil.

Lead QA automation strategy and team to design, build, and maintain Java-based Selenium/Cucumber automation frameworks. Integrate automated tests into CI/CD pipelines on AWS, define QA processes, measure quality with KPIs, manage defect lifecycle, and collaborate with development, DevOps, and product teams to ensure delivery of high-quality enterprise applications.

Design and implement AI-enabled workflow orchestration, integrations, and automation pipelines across legal workflows. Build agent orchestration, vector retrieval, API/webhook integrations, monitor reliability and performance, ensure governance and compliance, and collaborate with product, legal, and operations teams to scale AI-native legal service delivery.

Design and implement AI-native workflow orchestration and automation systems for legal service delivery. Build integrations between AI platforms, CRMs, document systems, client portals, and payment systems; implement retrieval, prompt orchestration, event-driven pipelines, and observability. Monitor reliability, troubleshoot bottlenecks, support compliance and governance, and document architectures while evaluating emerging automation tools.

Design, build, and maintain AI-enabled workflow orchestration and automation systems integrating AI models, CRMs, document systems, client portals, and internal tools; implement API/webhook integrations, vector retrieval, prompt orchestration, monitor reliability/performance, and ensure governance, compliance, and scalability.

Design, build, and maintain AI-enabled workflow orchestration and automation systems for legal service delivery. Implement integrations between AI platforms, CRMs, document systems, client portals, and payment systems. Develop event-driven pipelines, retrieval and prompt orchestration, agent workflows, and observability. Monitor reliability, troubleshoot integrations, support compliance and governance, and document architectures and operational standards.

Design and implement AI-native workflow orchestration and automation systems for legal services. Build integrations between AI models, CRMs, document systems, client portals, and operational tools; develop event-driven pipelines, retrieval and prompt orchestration, monitoring, and compliance controls. Collaborate with legal, product, and engineering teams to translate legal workflows into scalable, secure architectures and troubleshoot production issues.

Design and implement AI-native workflow orchestration and automation systems for legal services. Build integrations between AI models, CRMs, document systems, client portals, and internal tools. Develop agent workflows, vector retrieval and observability pipelines, monitor reliability and performance, troubleshoot integrations, and support governance, compliance, and scalable client experiences.

Design, build, and maintain automation and IaC for Azure and Microsoft 365 environments. Automate identity, licensing, Teams/Exchange/SharePoint workflows using Microsoft Graph API and PowerShell. Implement and operate Azure services, Entra ID, Windows Server, and ensure security, compliance, and disaster recovery. Collaborate with cross-functional teams to reduce manual effort and improve reliability.

Architect, build, and scale enterprise automation frameworks across UI, API, document, and integration workflows. Implement Playwright/Selenium-based UI automation, reusable API/integration tests (Postman, GraphQL, PactumJS), CI/CD integration (Azure DevOps), observability, flaky test detection, and AI-assisted QA (Azure OpenAI, Claude). Support compliance- and document-heavy scenarios and optimize regression testing.

Design, build, test, deploy, and support internal AI-enabled web applications, APIs, dashboards, and workflow automations. Lead QA automation, integrate systems, establish engineering and deployment standards, and collaborate with stakeholders to improve operational efficiency and govern responsible AI use.

The Deployment Engineer will build and operate AI inference clusters, ensure scalable deployments, optimize allocation, and maintain infrastructure. Responsibilities include software updates, telemetry development, and collaborative improvements with teams.

Design, build, and maintain automated migration workflows to onboard dental practices. Implement C#, .NET, and PowerShell scripts, manage ETL processes and SQL data transformations, troubleshoot live routines, leverage AI tools to speed development, and produce technical documentation to ensure secure, reliable migrations.

Develop and maintain web and desktop applications using .NET technologies. Requires strong programming skills, experience with databases, and project management.

As a Software Engineer, you will create tools and pipelines for AI development, manage data solutions for ML teams, and ensure high-quality code.

Build and scale reliable browser automation systems and execution infrastructure. Design stealth automation engines using browser fingerprinting and proxy management, orchestrate thousands of concurrent long-running workflows, and implement AI-assisted, self-healing scripts that adapt to dynamic UIs and maintain high consistency and low latency in production.

Design, develop, implement, and maintain industrial automation systems (PLCs, SCADA/DCS, HMI) for high-speed beverage production. Troubleshoot, optimize, upgrade equipment, manage automation projects, document systems, ensure safety and compliance, train operations teams, and recommend improvements to increase uptime and efficiency.