Top Remote Automation Engineer Jobs

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.

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.

Design, build, and operate production AI automations and agentic workflows for Toast’s customer care systems. Integrate LLMs with Salesforce Service Cloud, Amazon Connect, and workflow platforms; develop autonomous actions with human oversight; test, monitor, and improve system reliability, accuracy, latency, and cost. Collaborate with software engineers, Salesforce developers, and care operations stakeholders to translate workflows into scalable intelligent solutions.

Design, build, and own backend services, APIs, and integrations supporting customer care workflows. The role connects Salesforce, billing, identity verification, document management, and iPaaS platforms; requires automated testing, code reviews, incident response, performance monitoring, and cross-functional collaboration. The engineer will also apply AI tools and may build production LLM solutions.

Design, build, and maintain Airflow-based automation pipelines and services to move files, run scheduled FTP jobs, validate and modify data, monitor application health, parse logs/emails, implement robust error handling and observability, and integrate API-driven systems to reduce manual operational work.

Design, develop, and maintain Python-based SOC automation workflows for alert triage, investigation, enrichment, incident handling, and response. Build reliable Temporal.io workflows and integrations with Microsoft Sentinel, Defender, REST APIs, databases, and threat intelligence systems. Develop KQL queries, translate SOC requirements into technical solutions, and improve automation scalability, observability, reliability, and analyst efficiency while collaborating with Cyber Defenders and cross-functional engineering teams.

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.

Design, build, and maintain HubSpot automations, custom-coded actions, integrations, internal apps, CRM cards, and UI extensions. Develop scalable solutions using JavaScript, Python, APIs, and serverless functions; automate data cleanup and synchronization; and support CRM, subscription, routing, and lifecycle processes. Partner with consultants and architects on technical scoping, participate in client calls, document solutions, and lead technical delivery across multiple projects.

Build autonomous AI-driven security testing systems and agentic workflows for analyzing mobile, desktop, IoT, and API applications. Develop reusable security automation frameworks, integrate static and dynamic analysis, reverse engineering, network analysis, vulnerability intelligence, and custom tools. Create evaluation systems and human-in-the-loop workflows, research emerging AI and offensive security techniques, and collaborate with security researchers to scale testing. The role requires production-quality coding, security expertise, autonomy, and U.S. citizenship.

Designs, develops, deploys, and supports MES and industrial automation integrations across manufacturing sites. Connects Critical Manufacturing MES, Ignition, PLCs, SAP, and enterprise systems; develops machine connectivity, workflows, data collection, and equipment integrations; gathers requirements; leads technical projects; coordinates vendors and contractors; supports validation and deployments; and maintains integration standards and best practices.

Design, develop, and maintain enterprise infrastructure automation and Infrastructure as Code solutions across cloud, operating systems, virtualization, storage, databases, networking, and observability platforms. Build reusable frameworks, APIs, self-service capabilities, provisioning and patching workflows, compliance validation, security remediation, and operational dashboards. Collaborate with platform, cloud, security, architecture, and operations teams while documenting automation standards and engineering practices.

Develop, test, deploy, maintain, and support business automation solutions across application and platform layers. Analyze and improve business processes, select appropriate technologies, integrate APIs and microservices, troubleshoot deployed solutions, and apply secure development, logging, and testing practices. Collaborate with technical and business stakeholders throughout the automation lifecycle, provide automation guidance, use Agile and Scrum methodologies, and manage multiple short- and long-term projects.

Develop and maintain Python-based network automation applications that connect to network devices, collect data, and implement configuration changes. Host and maintain web applications on Linux servers, support client projects, document automation practices, and provide technical expertise. The role also involves client briefings, project support, forecasting, quality compliance, and mentoring junior staff.

Architect and build production agentic AI systems for customer support and compliance automation. Lead technical direction for distributed systems, APIs, orchestration frameworks, guardrails, and evaluation systems. Create reusable automation primitives, improve grounding and reliability, reduce hallucinations, and mentor engineers on LLM application design and production readiness. Collaborate cross-functionally to scale AI automation across Coinbase.

Owns process and automation strategy for optical product manufacturing, including fiber attach, optical alignment, equipment selection, and manufacturing readiness. Drives design-for-manufacturing and cost, develops scalable processes, improves yield and cycle time, qualifies capital equipment, collaborates with suppliers and contract manufacturers, and transfers validated processes and equipment from NPI into production.

Design and implement AI systems for customer support and compliance, architect solutions, mentor team members, and manage project deliverables.

Automate accounting and finance workflows across business systems, data exports, reports, and operational data sources. Responsibilities include improving reconciliations, journal-entry preparation, close tracking, reporting, exception management, and controls; building scripts, dashboards, templates, and workflows; connecting systems; documenting processes; and collaborating with accounting, finance, operations, and technology teams.

Build and launch AI-powered prospecting agents, SDR tools, lifecycle automations, onboarding flows, and internal products. Integrate CRM, sales, and marketing platforms using workflow tools, APIs, scripts, and LLMs. Own lead scoring, routing, SDR-to-AE handoffs, and lifecycle optimization. Measure impact on pipeline, meetings, activation, retention, and CAC payback while partnering with Sales, Lifecycle, Data, and Engineering teams.

Build and operate enterprise container services using Docker and Kubernetes. Create architecture models, technical documentation, and data flow diagrams; coordinate SDLC activities; estimate technical work; apply best practices across development, testing, and deployment; manage Git-based source code; support Agile teams; and improve operational procedures and controls.

Designs, builds, tests, deploys, and supports AI-enabled workflows and business process automations across Business Applications, Data & Analytics, and IT. Evaluates automation opportunities, integrates enterprise platforms through APIs and workflow tools, manages exceptions and human escalation, documents solutions, trains process owners, and reports measurable efficiency gains. The role also monitors emerging AI capabilities, applies governance and security practices, and manages work independently through production release.

Partners with enterprise and MSP customers to identify network automation opportunities, analyze network environments and ITSM data, and architect automation solutions using NetBrain Runbooks, Qapps, Dataviews, and integrations. Trains customer engineers to maintain and expand automation capabilities, collaborates with vendor partners, researches automation content, and delivers reliable troubleshooting and network operations solutions.

Lead hands-on engineer designing and modernizing cloud-native, reliable, and automated software solutions. Drive adoption of enterprise AI-assisted engineering practices, build automation frameworks, support performance and resiliency testing, lead code reviews, and communicate technical strategy and reliability standards across teams.

Hands-on technical leader who designs, builds, and deploys production-grade AI automation and agentic workflows. Responsibilities include rapid prototyping, RAG and document-intelligence systems, API integrations, orchestration, monitoring, reusable AI assets, and mentoring a small engineering team to deliver frequent releases and measurable business impact.

Designs and deploys AI assistants, copilots, custom agents, and end-to-end workflow automations across business functions. Builds integrations between AI platforms and enterprise systems using APIs, middleware, and serverless architectures. Develops prompt, RAG, and agentic solutions while measuring ROI and adoption. Partners with IT Operations and Security on governance, privacy, compliance, and secure deployment. Documents solutions, trains teams, and continuously improves automations based on usage and feedback.

Design, build, and deploy Tier Zero self-service solutions (virtual agents, chatbots, automated troubleshooting), intelligent routing, and predictive maintenance. Integrate automation with ITSM platforms, use low-code/pro-code tools (e.g., Power Automate), track deflection and satisfaction metrics, ensure accessibility compliance, document architectures and runbooks, and coordinate with service desk and cloud teams to drive continuous improvement.