Top Remote Automation Engineer Jobs

Leads QA automation initiatives by developing and maintaining automated functional, regression, API, and integration test suites for Guidewire software and mobile applications. Improves CI/CD pipelines, performs root cause analysis, drives quality improvements, collaborates with developers and product owners, and mentors junior QA engineers.

Work as an embedded QA automation engineer to design, build, and maintain end-to-end and API test suites, integrate tests into CI/CD, run performance/load tests against a NestJS monolith, manage test data, and validate AI agent behavior and integrations across OMS/WMS/catalog workflows.

Develop and maintain AI-based ASIC verification automation flows, regression infrastructure, dashboards, reporting tools, and triage automation. Build scripts and integrations using Python, Perl, Tcl, shell scripting, and Make. Support simulation, coverage, lint, formal, emulation, continuous integration, EDA tool integration, and distributed compute infrastructure. Debug automation, tool, runtime, licensing, queue, and workflow issues while improving verification reliability, reproducibility, and efficiency across geographically distributed engineering teams.

Designs and implements infrastructure-as-code automation using Ansible across VMware, bare-metal, cloud, Windows, and Linux environments. Develops custom Python modules, plugins, REST integrations, and CI/CD pipelines while integrating Git, secrets management, and monitoring. Creates documentation, troubleshoots automation failures, improves reliability and performance, tracks metrics, and supports critical infrastructure through an on-call rotation. The role requires extensive Ansible, systems administration, scripting, and platform engineering experience in classified environments.

Performs manual and automated testing for CMS healthcare marketplace systems, including security, API, regression, performance, functionality, and usability testing. Develops and executes test scripts, participates in Agile ceremonies and code reviews, tracks and documents defects, produces test reports, and supports continuous testing improvements. Requires Java and JavaScript testing experience, testing administration and defect tracking tools, NoSQL familiarity, strong communication, and eligibility for Federal Public Trust.

Designs, builds, and operates enterprise automation across IT, business processes, infrastructure, and data operations. Develops Python and PowerShell solutions, AI-powered agentic workflows, RPA, API integrations, orchestrated pipelines, infrastructure-as-code, and CI/CD automation. Supports Azure Government and AWS GovCloud environments, monitoring, observability, self-healing, compliance documentation, and root-cause analysis. Partners with cross-functional teams to identify automation opportunities, evaluates emerging AI tooling, and mentors others on automation practices.

Build and deploy AI-enabled automation solutions across enterprise systems. Partner with Business Applications, Data & Analytics, and IT teams to analyze processes, identify automation opportunities, integrate platforms, test and monitor solutions, document implementations, and train process owners. The role requires hands-on coding, AI workflow experience, enterprise integrations, scripting, SQL, structured data knowledge, production support, and strong communication with technical and non-technical stakeholders.

Build and operate Danaher’s enterprise data platform automation and reliability layer. Responsibilities include Infrastructure-as-Code, CI/CD, self-service developer enablement, data platform provisioning, observability, SLOs, auto-remediation, FinOps, compliance guardrails, and event-driven operations across Snowflake, Azure, Matillion, dbt, and Airflow. The role also develops AI-driven operators and copilots using Azure AI Foundry, Anthropic Claude, and related agent frameworks.

Designs and maintains automated testing frameworks for AI-powered applications, APIs, backend services, and distributed systems. Defines test strategies, acceptance criteria, evaluation metrics, tolerances, and quality gates for deterministic and non-deterministic software. Builds regression, integration, API, and end-to-end coverage; evaluates LLMs, agents, prompts, and tool-calling workflows; integrates testing into CI/CD; analyzes failures, telemetry, and logs; reduces flaky tests; and partners with AI, engineering, and product teams on continuous quality practices.

Designs and operates secure, scalable Azure cloud infrastructure supporting AI initiatives. Builds Infrastructure as Code, CI/CD pipelines, self-service provisioning, containerized environments, observability, monitoring, and reliability practices. Establishes platform standards, evaluates emerging technologies, drives cross-team architecture decisions, mentors engineers, and ensures governance, security, compliance, data quality, and auditability. The role is fully remote with up to 10% travel.

Leads quality engineering and test automation for enterprise software in Agile and DevSecOps environments. Develops scalable automated frameworks, integrates testing into CI/CD pipelines, establishes test strategies, manages defect triage and root-cause analysis, and oversees functional, API, integration, performance, security, and end-to-end testing. Partners with engineering, product, architecture, and DevOps teams while mentoring QA staff and driving continuous improvements in coverage, release quality, and defect prevention.

Develop and maintain automated web application tests using Playwright and JavaScript, perform manual functional and regression testing, design test cases, manage defects, and integrate testing into CI/CD pipelines. Collaborate with Agile teams to improve test coverage, API testing, release reliability, and software quality across the SDLC.

Build and operate Go-based automation for PostgreSQL provisioning, configuration, upgrades, failover, scaling, and decommissioning at GitLab.com scale. Develop a PostgreSQL-as-a-service platform, integrate cloud infrastructure and infrastructure-as-code tooling, improve database performance and reliability, and create safe upgrade automation. The role includes production ownership, architecture leadership, code reviews, documentation, cross-team collaboration, mentorship, and using AI agents in engineering workflows.

Build and operate AI-powered automation, CI/CD systems, distributed services, developer tools, validation platforms, and code-intelligence capabilities. Own significant systems from architecture through production, improve engineering workflows using measurable results, scale reliable automation and delivery platforms, and integrate capabilities through APIs and MCP. Establish operational practices, participate in on-call support, conduct technical reviews, mentor engineers, and lead cross-team delivery of dependable engineering platforms.

Design, build, and operate AI-powered automation, CI/CD systems, distributed services, developer tooling, and code-intelligence platforms. Own significant capabilities from architecture through production, improve engineering workflows using measurable evaluations, scale reliable automation and delivery systems, and operate secure multitenant services. Lead technical reviews, define reliability practices, integrate platforms through APIs and MCP, mentor engineers, and drive ambiguous technical problems to dependable production outcomes.

Develops and maintains automated testing for enterprise platforms, applications, data systems, APIs, cloud services, and AI/ML solutions. Converts acceptance criteria into repeatable tests, implements CI/CD quality gates, performs functional, integration, regression, load, performance, accessibility, and security validation, and supports release certification and rollback readiness. Coordinates release readiness with delivery, engineering, security, governance, and SRE teams while documenting test results, risks, defects, compliance artifacts, and release evidence.

Designs, programs, integrates, troubleshoots, and maintains industrial automation systems for manufacturing assembly and packaging. Responsibilities include PLC control logic, industrial networking, HMI and SCADA development, system commissioning, root cause analysis, cybersecurity, MES/ERP integration, documentation, operator training, and preventive maintenance support. Collaborates with mechanical, electrical, IT, and production teams while ensuring safety and regulatory compliance.

Lead design and delivery of agentic AI systems and LLMOps on AWS to generate, validate, and deploy infrastructure-as-code (Terraform). Build multi-agent applications, RAG pipelines, and AIOps for cloud operations; integrate AI into CI/CD and ITSM. Set technical direction, establish guardrails/policy-as-code, curate reusable Terraform modules, and mentor engineering teams.

Designs, develops, and supports enterprise automation solutions using Microsoft Power Platform, scripting, APIs, cloud services, and secure authentication. The role integrates cloud and on-premises systems, builds reusable workflows, monitors performance, resolves issues, documents solutions, and ensures governance and compliance. The engineer collaborates with infrastructure, security, application development, and business stakeholders to improve operational efficiency and service delivery.

Designs and implements automation for spacecraft and ground station operations, monitors satellite health and telemetry, troubleshoots anomalies, executes operational procedures, coordinates orbit maneuvers, and supports satellite integration. The role collaborates across engineering teams to maintain satellite services and fleet performance.

Designs, configures, tests, commissions, and supports ISA-88 batch automation solutions for industrial manufacturing clients. Develops batch recipes, control logic, HMI/SCADA interfaces, historian integrations, functional specifications, and test plans. Leads software testing, FATs, SATs, commissioning, start-up, troubleshooting, and client support. Coordinates with engineering teams, mentors junior staff, supports project estimates and proposals, and ensures reliable automation solutions across PLC, DCS, and batch management systems.

Build AI-enabled automations for governance, risk, and compliance workflows, including evidence collection, control validation, audit preparation, third-party reviews, vulnerability management, POA&M tracking, and reporting. Evaluate AI solutions for security, privacy, regulatory compliance, and auditability. Partner with cross-functional teams to document processes, develop dashboards and metrics, and support compliance across frameworks including FedRAMP, CJIS, ISO 27001, SOC 2, PCI, HIPAA, and FISMA.

Develop and maintain automated tests for web applications, APIs, integrations, SaaS platforms, and AI-powered features. Build customer journey tests, improve automation frameworks, integrate testing into CI/CD pipelines, analyze failures, troubleshoot defects, and increase test coverage and reliability. The role also contributes to AI-assisted testing initiatives and applies emerging technologies such as LLMs, agentic AI frameworks, and model evaluation methodologies.

Designs and maintains automated testing frameworks and test suites across unit, API, integration, and end-to-end testing. Integrates quality processes into CI/CD pipelines, performs manual validation, analyzes defects and test data, and collaborates with Product, Engineering, Data, and Scrum teams. The role also supports Agile delivery, documentation, release stability, and compliance with HIPAA, FDA, and GDPR requirements.

Build and maintain automated integration and end-to-end test suites for ReactJS portals and Python/NextJS APIs. Define test strategies and acceptance criteria, validate data with SQL, integrate regression tests into CI/CD, manage test data, investigate defects, reduce flaky tests, and own release quality gates. Use AI tools to generate and scale tests while partnering with product, engineering, and data teams to improve platform quality.