Top Remote Automation Engineer Jobs

Build end-to-end automation and AI agents across identity, endpoint, SaaS, and ITSM systems. Automate onboarding/offboarding, ticket triage, self-service flows, and integrations. Operate and govern Vertex AI agents, establish KPIs, mentor sysadmins, and maintain reliable, auditable automations with security and compliance controls.

Design, build, and maintain AI assistants and automation workflows across HR, Finance, and Operations. Develop agentic AI, RAG, and integrations using APIs, middleware, and automation platforms. Ensure secure, scalable deployments, measure ROI, document solutions, and train teams on AI-assisted workflows.

The Test Automation Engineer will develop automation frameworks, integrate testing into CI/CD pipelines, analyze results, and collaborate on product requirements.

Build and scale signal-driven GTM systems: design automation and AI workflows for account identification, enrichment, scoring, segmentation, and orchestration to drive outbound, ABM, and revenue generation. Partner with Marketing, Sales, and Success to run experiments, implement agent-assisted automation, and measure outcomes.

The QA Engineer will ensure software quality by designing automated tests, conducting manual testing, and leveraging AI for efficiency.

The GTM Engineer will design, build, and automate systems for go-to-market strategies using coding, data integration, and analytics.

Design, build, and maintain automated test suites, evaluation scenarios, and CI/CD quality gates for AI-powered applications. Test APIs, validate ML model outputs, create measurable evaluation rubrics, mentor teams, and contribute to shared QA frameworks and codebases.

The Sr. Quality Assurance Automation Engineer creates and executes automated tests and maintains regression suites for multiple products, ensuring high-quality releases.

Design and build Node.js automation tools and integrations for e-commerce operations, improving efficiency and workflow. Collaborate with teams to align automation with technical priorities, utilizing AI tools for enhanced productivity.

Lead execution of North America automation capital projects for distribution and manufacturing. Manage TSPs and cross-functional teams, drive layout, installation, capacity and value-engineering activities, ensure safety/regulatory compliance, and support design discussions, start-up and project documentation.

The Senior SecOps Automation Engineer will architect and build an incident response automation program, modernizing manual workflows into automated processes and integrating security tools using APIs and Python.

The Senior Automation Engineer will lead automation projects, develop scripts, manage infrastructure, and ensure adherence to security standards. Responsibilities include automating network provisioning and system administration effectively using IaC principles.

Design and implement ITIL/ITSM automations and orchestration workflows. Integrate ServiceNow with cloud, monitoring, and CI/CD systems via REST and scripting. Build reusable automations, collaborate with service owners to translate ITIL processes into workflows, and contribute to standardization and modernization efforts across defense programs.

Define and execute QA strategy, build and maintain automated end-to-end API and UI tests, integrate tests into CI/CD, perform targeted manual testing, and partner with engineers and product teams to ensure production reliability for an AI-native enterprise platform.

Build, maintain, and improve automated test frameworks and tooling to validate backend services, APIs, distributed workflows, and data pipelines. Reduce flaky tests, increase coverage, and contribute automated performance and scalability testing. Collaborate with software and QA engineers to improve testability, run tests in CI/CD, and operate primarily in Linux environments.

Lead integration testing for high-performance backend systems: design and implement Python-based automated tests, integrate scenarios into CI, enhance automation framework and reporting, investigate root causes, and collaborate with developers and product managers to validate and stamp features for production.

Test and investigate high-performance backend distributed systems: reproduce functional issues, design and run manual tests, build and maintain automation scripts, test APIs/databases/distributed services, identify coverage gaps, perform investigatory testing for unreleased features, and document test reports.

Lead integration testing for high-performance backend systems: design test scenarios, develop and maintain Python-based automated scripts, integrate tests into CI, execute and analyze results, investigate root causes, and improve automation framework scalability and coverage.

Design, implement, and automate GCP infrastructure using Terraform; manage compute, storage, networking, and security; integrate Vertex AI and BigQuery for ML workloads; configure Wiz for continuous security monitoring; build automation, scripts, and toolchains; perform security assessments and ensure compliance.

Develop and maintain automated test frameworks and scripts using Selenium, Java, BDD, UFT and VBScript. Perform API and database testing, use test management tools (Quality Center, JIRA), work within Agile, and provide production support including flexible hours/weekends. Communicate effectively and follow QA best practices in a finance domain.

Design, develop, and maintain automated test scripts and frameworks (Serenity/Selenium) using Java and Node. Execute pipeline and API testing (Postman), analyze requirements, prepare test plans, coordinate with onshore/offshore QA and cross-functional teams, participate in Scrum, debug automation issues, and support system integration, UAT, regression, and production defect fixes.

Design, implement, and execute automated tests for distributed microservices applications. Troubleshoot Selenium and web-service tests, build test automation, collaborate with global Agile teams, and support quality practices and CI/CD integration.

Design, develop, and execute automated test strategies for data pipelines, ETL processes, and data warehouses. Create and maintain automation frameworks and CI/CD-integrated test suites, perform data validation and reconciliation using complex SQL and PySpark, identify and track defects, and collaborate with development and data teams to improve data quality and system reliability.

Design and build automation frameworks and evaluation pipelines for agentic AI products. Develop non-deterministic tests, golden datasets, tool-use validation, prompt regression tests, latency/token monitoring, hallucination detection, and collaborate with AI engineers to convert requirements into measurable automated test cases.

Design, build, and maintain automated test frameworks for a cloud-native AWS data ingestion platform. Create test plans, execute unit/integration/performance/security tests, validate data reconciliation and parity with legacy systems, run DR drills, verify security controls and CI/CD/IaC, document results, and support UAT and handover.