Top Remote Automation Engineer Jobs

Design, build, and deploy AI agents and multi-step automation workflows for Client Experience. Integrate systems via APIs, partner with stakeholders, ensure governance and security, and track metrics for efficiency and customer outcome improvements.

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.

Lead and manage quality engineering teams focused on ERP automation testing. Define and uphold QA standards and processes, coach and mentor staff, partner with product and solution teams, author Agile test plans, support UAT and QA environments, and ensure successful project delivery while driving continuous improvement and innovation.

Design and build tools and automations to deploy and manage CrowdStrike's cloud infrastructure. Collaborate with cross-functional partners to deliver reliable full-stack solutions using React and Go, integrate REST/GraphQL APIs, implement CI/CD and automated tests, emphasize security and documentation, and leverage AI to improve workflows and decision-making.

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.

Design, develop, deploy, and support UiPath RPA solutions in federal environments. Identify automation opportunities, build attended and unattended bots, implement Document Understanding and Computer Vision, migrate attended automations to enterprise platforms, troubleshoot production issues, and collaborate with stakeholders on requirements, architecture, and operational support.

Design, build, and maintain automated pipelines and tooling for market lifecycle: market creation, monitoring, settlement, and dispute resolution. Integrate sports, government, and political data feeds; build REST integrations; develop AI-assisted verification tools using LLMs; manage scheduled jobs and production failures; implement observability and audit trails to meet regulatory standards; document and collaborate with Exchange Operations to eliminate manual processes.

Design and build a production-grade Legal AI platform of agentic workflows to automate high-volume legal tasks (agreement redlining, SEC filing support, governance), consolidate bots into a governed agent platform, own the institutional client agreement automation system, advise legal leadership, define make-vs-buy strategy, and serve as a pilot for deploying engineering in non-technical teams.

As an Automation Engineer, you'll build automation pipelines, collaborate on experimental needs, program instrumentation, and integrate with data science, enhancing research capabilities.

Build and maintain LLM-powered agents and automation pipelines to create, review, and publish educational content. Integrate and optimize Skilljar and Sanity CMS, eliminate content ops bottlenecks, partner cross-functionally, and implement interactive learning components to scale personalized learning.

The Post Production Automation Engineer will build automated systems for post-production workflows, integrating AI and scripting to enhance team efficiency and output. Responsibilities include architecting automation, developing APIs, and streamlining processes while collaborating with the creative team.

Seeking a Senior Tosca Automation Engineer to design and maintain automation frameworks, collaborate with teams, and drive quality metrics in SAP and Salesforce environments.

The Automation Engineer designs, maintains automated tests, mentors teams in best practices, integrates tests into workflows, and collaborates with stakeholders.

Design, build, and maintain web crawlers and scraping pipelines using Python and scraping libraries. Overcome IP/geolocation/captcha/bot-blocking, write SQL and use SQLAlchemy, deploy scripts to Linux AWS servers, and build REST APIs with web frameworks.

Design and build AI-powered automation workflows and integrations for Pragmatico and clients. Lead discovery, architect solutions using LLM APIs and integration platforms (Zapier/Make.com), present solutions to stakeholders, train client teams, and create reusable automation frameworks and thought leadership content.

Own and scale the GTM tech stack (Salesforce, HubSpot, integrations), build AI-powered automations and data pipelines, ensure data quality and governance, and partner cross-functionally to optimize revenue processes and operational efficiency.

Design, build, and scale AI-powered automation using LLMs, RAG, vector DBs, prompt pipelines, and agent systems. Integrate with internal tools and cloud platforms, implement orchestration, observability, security guardrails, measure impact, and partner cross-functionally to replace manual processes with reliable production-grade automation.

Responsible for developing automated solutions, improving customer success processes, providing technical support, and training team members on automation tools.

Design, program, test, install, and commission SCADA, relay, and PLC systems (primarily SEL/RTAC). Produce schematics, configuration files (IEC61850, DNP3, MODBUS), AutoCAD drawings, perform field commissioning/troubleshooting, and prepare project documentation. Support clients and perform periodic interstate field assignments.

The Technology Program Quality Assurance Engineer enhances quality engineering in veterinary practice by leveraging technology for compliance, automation, and process improvement in quality management systems.

The AI Automation Engineer will apply AI in finance operations to automate processes like AP, AR, and reconciliation, ensuring compliance and performance measurement.

Design and automate internal audit workflows using AI agent orchestration, process engineering, and automation platforms. Build agentic Power Automate/Make.com workflows, integrate GRC tools, use DataSnipper for document matching, produce real-time risk dashboards (Power BI/Tableau), and enforce AI governance, privacy, and human-in-the-loop validation.

Lead design and implement enterprise DevOps automation and CI/CD solutions. Architect automated cloud infrastructure, integrate security into pipelines, optimize test automation and test data management, influence tooling choices, mentor DevOps engineers, and communicate strategy to stakeholders and clients.

Design, implement, and maintain CI/CD and continuous delivery solutions. Build automated deployment pipelines, integrate security automation, manage infrastructure as code, support test automation and test data management, and collaborate with Agile teams and InfoSec to ensure stable, secure deployments.

Architect and implement enterprise GenAI platforms (RAG and agentic systems), design knowledge retrieval, orchestration, tool-using agents and human-in-the-loop workflows, ensure production readiness and governance with product/data/security teams, define platform engineering best practices, and solve complex platform challenges with broad autonomy.