Top Remote Automation Engineer Jobs

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.

Lead QA automation design and implementation for AI-enabled scoring and orchestration services. Build automated validation strategies (including agentic AI), create mocks, enforce security and engineering standards, drive CI/CD/DevOps testing, participate in Agile ceremonies and peer reviews, troubleshoot production, and collaborate with architects, product, and psychometrics to ensure reliable, high-quality systems for large-scale assessment programs.

Perform functional testing and verification of power measurement devices. Design and maintain test plans, cases, and documentation. Build and maintain test environments and lab equipment, analyze results, log defects, and collaborate with hardware and software teams to resolve issues and improve testing processes.

Validate reliability and performance of warehouse robotics software through automated tests, hardware emulation, and simulation. Build test plans, execute functional/integration/regression/end-to-end tests, reproduce customer issues, run operational simulations and digital twins, integrate tests into CI/CD, and support release validation and root cause analysis.

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, and scale enterprise automation frameworks across UI, API, document, and integration workflows. Implement reusable test components, CI/CD integrations, observability, flaky-test detection, and AI-assisted QA using Azure OpenAI/Claude. Support compliance/document-heavy scenarios, optimize regression selection, and ensure security and long-term stability of automation across teams and environments.

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 test suites for enterprise Java applications migrating to modern platforms and Azure. Execute functional, integration, regression, API, and end-to-end tests, validate production fixes, support infrastructure and cloud migration testing, define acceptance criteria, and document/track defects while collaborating with Agile teams.

Design, develop, and maintain automated test suites for web and enterprise applications. Validate new features, bug fixes, integrations and cloud migrations (Azure). Participate in Agile ceremonies, verify infrastructure and deployments, and collaborate with developers and stakeholders to ensure performance, reliability, and quality across the SDLC.

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.

Build and maintain Playwright-based end-to-end test automation across UI, API, and integration layers. Author release validation documentation for GxP and 21 CFR Part 11 compliance. Integrate quality gates in CI/CD, partner with engineers to shift testing left, and explore AI/LLM-assisted test generation and failure triage to scale coverage and reduce manual effort.

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

As a Forward Deployed Engineer, you will develop AI agents and automation workflows, collaborate with teams, and ensure secure, reliable solutions integrating with various systems.

Design, build, and maintain automated test frameworks and suites for web applications, APIs, and distributed microservices. Implement integration, end-to-end, performance, and security testing; integrate tools (Selenium, Cypress, TestNG) into CI/CD; triage defects with GitLab/JIRA; collaborate with developers in Agile teams to ensure scalable, reliable mission-critical systems.

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

Lead QA automation efforts by designing, building, and maintaining automated test frameworks and suites, leveraging Agentic AI to generate and optimize tests, executing manual and automated regression/integration tests, collaborating with engineering on testability, reporting defects, and driving QA best practices and mentoring within the team.

Lead design and delivery of network automation and configuration management platforms. Build IaC, CI/CD, templating, drift detection, compliance validation, and self-service provisioning across hybrid networks. Integrate automation with platform tooling, mentor engineers, and drive NetDevOps adoption to modernize network operations and improve reliability at scale.

Lead design and delivery of network automation and configuration management platforms. Build IaC, CI/CD pipelines, configuration templating, drift detection, compliance validation, and integrations (NetBox, ServiceNow, GitHub). Mentor engineers, troubleshoot hybrid networking, and drive NetDevOps/automation adoption across data centers, cloud, and regional sites.

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.

Develop and maintain calibration, automation, and tooling software for quantum processors. Design and implement front-end and back-end systems, APIs, and databases; troubleshoot performance issues; collaborate with scientists and engineers; and mentor junior engineers.

Lead QA automation for a Salesforce modernization program: build and maintain reusable test frameworks, automate end-to-end UI and API tests for Apex, LWC, Visualforce, integrate suites into CI/CD (Copado, Jenkins, GitHub Actions), define test strategy and acceptance criteria, manage regression suites, defects, sandbox environments, and validate Salesforce security models.

The role involves leading advanced manufacturing processes utilizing automation and robotics, improving quality and efficiency, and developing training initiatives while managing projects and technologies.