Top Remote Automation Engineer Jobs

Implement and optimize cross-channel marketing campaigns using Braze and data warehouse integrations. Build complex journey flows, dynamic templates (Liquid), audience segmentation, and QA campaigns. Collaborate with marketing and engineering to validate data, ensure compliance (SMS/email), and scale personalized lifecycle messaging.

Develop and maintain SOAR playbooks, AI-powered workflows, and PowerShell/Python automation for Falcon Complete’s managed detection and response operations. Build security enrichment, remediation, forensic, and SIEM-integrated workflows; parse security data using JSON and regular expressions; maintain scripts with Git; and collaborate with SOC and engineering teams to improve analyst efficiency. The role also supports AI integration, incident response automation, and evaluation of emerging cybersecurity technologies.

Build AI-powered workflows, agents, integrations, and internal tools that automate People Operations. Partner with People, Engineering, and IT to modernize onboarding and other employee processes, while implementing secure access controls, human oversight, escalation paths, and production-ready architectures. Prototype with users, iterate quickly, and measure improvements in efficiency, employee experience, and operational consistency.

Own the conversion of manual regression suites into automated tests for CAD-based desktop and Revit-integrated applications using T-Plan Robot. Design reusable test frameworks, execute and analyze automated tests, document defects, and maintain CI/CD integrations. Apply AI and LLM tools with validation workflows to improve test authoring and reliability. Collaborate with developers and product owners, track coverage and defect trends, and eventually expand automation frameworks and mentorship across other product teams.

The GTM Engineer will automate sales workflows using tools, build integrations, design a win/loss analysis program, and collaborate with sales teams to leverage AI insights.

Supports automation projects from concept through production launch across manufacturing sites. Responsibilities include evaluating processes, designing automation concepts and cell layouts, conducting robot and process simulations, developing specifications and ROI cases, supporting vendor selection and commissioning, troubleshooting robotic systems, and optimizing production solutions. The role requires collaboration with engineering, quality, maintenance, EHS, suppliers, and integrators, along with hands-on expertise in robotics, controls, machine integration, vision, and advanced manufacturing.

Develop and deploy advanced manufacturing automation across machining, fabrication, assembly, and material-handling operations. Responsibilities include evaluating automation opportunities, designing cell layouts and technical concepts, performing robot simulations, supporting capital projects, managing vendor and integrator activities, participating in FAT, SAT, commissioning, and production launches, and troubleshooting automated systems. The role also supports machine vision, robotics, digital manufacturing, continuous improvement, and replication of successful solutions across global manufacturing sites.

Develop and deploy advanced manufacturing automation for machining, fabrication, assembly, and material-handling processes. Evaluate opportunities, design concepts and cell layouts, perform robot and process simulations, support capital projects, and participate in vendor selection, FAT, SAT, commissioning, and production launch. Troubleshoot and optimize robotic systems while collaborating with manufacturing, controls, quality, maintenance, suppliers, and integrators. Provide technical support, document lessons learned, and help standardize successful solutions across global manufacturing sites.

Develop and deploy industrial automation solutions across manufacturing sites. Responsibilities include evaluating processes, designing layouts and robotic cells, performing simulations and cycle-time analyses, supporting capital projects, vendor selection, FAT, SAT, commissioning, and production launches. The role troubleshoots and optimizes automated systems involving robotics, controls, vision, material handling, and digital manufacturing technologies while collaborating with cross-functional teams and suppliers.

Develop and deploy automation solutions for machining, fabrication, assembly, material handling, and other manufacturing processes. Responsibilities include evaluating automation opportunities, creating layouts and simulations, designing technical concepts, supporting capital projects, selecting vendors, commissioning systems, troubleshooting robotics and controls, and optimizing production performance. The role also provides technical support across manufacturing sites and helps standardize and replicate successful automation solutions.

Clean and reconcile employee master data and historical leave records from multiple sources. Define standardized HR data structures, establish validation and access controls, and automate leave request, approval, and balance tracking workflows using Google Workspace or a suitable alternative. Document maintenance processes and support potential expansion across international branches. The contractor will independently manage the fixed-scope project, propose an RFQ, and provide timeline, hours, costs, assumptions, and deliverables.

Designs and maintains enterprise infrastructure automation across cloud, operating systems, virtualization, storage, databases, networking, and observability platforms. Builds Infrastructure as Code with Terraform, OpenTofu, and CloudFormation; develops Python, PowerShell, and Bash automation; integrates enterprise tools and APIs; enables self-service infrastructure; automates provisioning, patching, compliance, security remediation, and lifecycle operations; and supports monitoring, dashboards, documentation, and cross-functional infrastructure reliability improvements.

Lead architecture and delivery of IT automations and integrations across platforms (n8n, Airflow, Temporal, Jira). Act as technical DRI for complex automation projects, partner with Security and IAM, build reusable frameworks and documentation, establish engineering standards and code review practices, and mentor peers.

Leads software quality assurance for workflow-based applications, creating test plans, automated test cases, and reusable automation frameworks. Executes functional, regression, smoke, and performance testing; validates workflows, integrations, business rules, security, and data flows; tracks defects; and supports Agile ceremonies. Collaborates with product owners, engineers, and platform teams to define acceptance criteria and improve testing processes. The role also mentors quality engineers and communicates product quality status.

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.

Develop and support Ansible automation, Infrastructure-as-Code, and Kubernetes-based platform solutions for classified program teams. Partner with system administrators and application engineering teams to deploy, scale, secure, and maintain automation products in closed-area environments. Provide technical guidance, knowledge transfer, troubleshooting, compliance automation, API integrations, and platform adoption support while improving deployment workflows, availability, and operational efficiency.

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.

Design, implement, and operate CI/CD pipelines for mobile and backend services; maintain build/test/release processes with quality gates and artifact management; configure non-production environments; support release preparation and deployment coordination; integrate monitoring/logging and improve automation, performance, and reliability of delivery pipelines.

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.

Designs and maintains scalable UI and API test automation frameworks using Playwright, Python, and PyTest. Integrates automated testing and quality gates into CI/CD pipelines, validates REST services and cloud-hosted applications, performs root-cause analysis, and improves release confidence. Collaborates with engineering, product, and quality teams on test strategy, coverage, reporting, defect prevention, and release readiness.

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.

Build and deploy production micro-apps and LLM-powered agents on a governed GCP platform. Integrate AI with systems (Salesforce, Slack, NetSuite, SQL), harden apps with auth, secrets, CI/CD, logging and monitoring, automate maintenance, and implement evaluation and observability for model quality and drift.

Build and maintain scalable UI, API, and backend test automation using Python, Robot Framework, Playwright, and Selenium. Integrate testing into Jenkins and CI/CD pipelines, develop Page Object Model scenarios, analyze quality metrics, and improve software reliability. Collaborate with engineering, architecture, product, and UX teams; mentor junior QA engineers; and use AI-assisted tools safely for test generation and maintenance. The role is remote and requires no regular travel.

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.