Top Remote Automation Engineer Jobs

Design and implement AI agents, plugins, automations, and enterprise integrations for HR Technology platforms. Lead requirements gathering, technical analysis, solution design, testing, documentation, deployment, security, and data integrity efforts across HR, IT, and business stakeholders. Integrate platforms including ServiceNow, Workday, and other enterprise applications while supporting the HR automation and AI roadmap.

Build and maintain AI-powered go-to-market systems that automate sales, expansion, marketing, forecasting, handoffs, and post-sales workflows. Optimize processes, maintain CRM data quality, test and monitor automations, connect GTM tools, and translate operational needs into scalable technical solutions. The role uses AI and iPaaS tools to surface next-best actions, improve deal velocity, and support customer lifecycle operations.

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.

Build and productionize AI agents and intelligent workflows using LLMs, RAG, tool use, enterprise data, and workflow orchestration. Identify high-value automation opportunities, develop secure and observable integrations, uncover operational patterns, and deliver measurable improvements in efficiency, quality, self-service, and customer experience. Initially focused on Sales Support, the role will scale successful AI capabilities across the broader Commercial organization.

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.

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.

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.

Designs and delivers end-to-end automation solutions for Lilly’s global Finance organization. Responsibilities include assessing opportunities, developing and testing software, creating architecture and test documentation, supporting UAT and integrations, troubleshooting production issues, resolving defects, and assisting with QA, audits, migrations, and risk mitigation. The role uses Python, PySpark, TypeScript, PostgreSQL, AWS, Microsoft Fabric, SAP, and other APIs, while collaborating with finance, technology, analyst, and business teams.

Engineer, scale, automate, and maintain Linux infrastructure across bare-metal, colocation, and cloud environments. Responsibilities include Puppet and Ansible configuration management, Ubuntu/Debian systems administration, virtualization with OpenStack, LXD, KVM, and ESXi, storage administration, security hardening, high-availability operations, platform migrations, and infrastructure provisioning. The role also supports identity services, PKI, enterprise storage, and production cloud environments.

Leads architecture, development, integration, and support for automation, monitoring, DevOps, container, cloud, and developer enablement capabilities. Develops Python automation, supports AWS and OpenShift deployments using Terraform, evaluates technology platforms, leads root-cause investigations, establishes operational processes, and provides technical guidance. The role may supervise a small team, mentor employees, and coordinate multiple projects while ensuring solutions are secure, scalable, performant, and supportable.

Own the managed services tooling ecosystem, building API, webhook, and email integrations across RMM, monitoring, backup, and ITSM platforms. Configure Jira Service Management, reduce alert noise, troubleshoot tooling failures, establish integration standards, evaluate new tools, and ensure customer-specific rollouts. Produce operational reporting, explain tooling to customers, and maintain auditable documentation within ITIL-aligned change management processes.

Automates security compliance, testing, and continuous monitoring for an IL5 multi-cloud environment. Responsibilities include STIG/SCAP scanning, Tricentis regression testing, CI/CD security gates, IaC validation, SIEM/SOAR automation, AWS compliance controls, eMASS evidence uploads, and RMF continuous monitoring. The role requires Secret clearance, DoD 8140 certification alignment, and at least four years of security automation, compliance testing, or DevSecOps experience.

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.

Build and deploy AI agent systems that automate complex business processes. Analyze workflows, design and configure agents, integrate AI with enterprise applications, develop connectors and APIs, and establish evaluation and monitoring systems. The role requires expertise in cloud AI services, LLMs, NLP, Python, integration platforms, conversational AI, RAG, vector databases, APIs, and SQL/NoSQL systems. The engineer will also explore emerging AI technologies and mentor junior developers and system administrators.

Designs, builds, and operates integrations, data pipelines, and automations connecting business applications with Snowflake. Responsibilities include API development, process automation, monitoring, error handling, vendor API management, documentation, credential governance, and cross-functional requirements gathering. The role supports legacy and current product platforms during migration and helps establish integration standards for reporting and AI-agent data access.

Develop and automate ICAM, IAM, SOC, and Zero Trust workflows across Okta, CyberArk, AWS, Active Directory, Splunk, and Zscaler. Build integrations, SOAR playbooks, detection rules, log onboarding, access policies, credential rotation, session revocation, and automated ticketing. Collaborate with engineering, SOC, and identity teams to improve enterprise security automation. The role requires an interim Secret clearance, DoD 8140 qualification, relevant cybersecurity certification, and at least four years of experience.

Designs, develops, deploys, and supports automation solutions, scripts, API integrations, and workflows for Technology operations. Maintains production automations, troubleshoots failures, manages integrations and credentials, documents solutions, and supports technology projects, acquisitions, migrations, and onboarding. Partners with Technology teams to analyze processes, prioritize automation opportunities, develop technical designs, establish governance standards, and improve operational efficiency through scalable automation, reporting, monitoring, and continuous improvement.

Deploy, commission, configure, and troubleshoot laboratory automation systems integrating robots, instruments, scheduling software, databases, and code. Conduct FAT and SAT, resolve hardware and software issues, document configurations, train customers, and manage technical communication throughout deployments. The field-based role supports customers across NJ, PA, NY, and other domestic or international locations, requiring frequent travel and independent work with senior support on complex systems.

Deploys, commissions, and supports complex laboratory automation systems integrating robots, instruments, software, and databases. Responsibilities include C# development, workflow configuration, hardware and software troubleshooting, FAT/SAT execution, customer training, technical documentation, stakeholder management, and mentoring junior engineers. The role is field-based on the West Coast, requires extensive domestic and international travel, and supports life sciences customers.

Deploys, commissions, integrates, and troubleshoots laboratory automation systems involving robots, instruments, scheduling software, databases, and code. Conducts FAT and SAT, configures hardware and firmware, supports robotic platforms, documents solutions, trains customers, and manages technical communication. The field-based role serves West Coast life sciences and pharmaceutical customers, requires independent work, customer interaction, and travel of up to and sometimes exceeding 40% annually.

Deploy, commission, integrate, and troubleshoot complex laboratory automation systems involving robots, instruments, software, databases, and multi-system workflows. Develop C# automation software, configure robotic hardware, execute FAT and SAT, and manage acceptance activities. Train customers, resolve technical issues, communicate with diverse stakeholders, mentor junior engineers, and support deployments across a regional territory with travel exceeding 40% annually.

Own quality and automation for enterprise SaaS and PaaS deployments. Build agentic workflows for bug triage, reproduction, routing, and resolution; improve automated testing, CI quality gates, environment parity, and release confidence. Collaborate directly with enterprise customers, communicate quality trends, run bug bashes, create evaluation datasets, and ship code fixes. Senior and staff scopes may include setting organization-wide quality strategy, mentoring engineers, and defining automation standards.

Perform manual exploratory testing and build/maintain automated test suites (Playwright/Selenium). Integrate tests into CI/CD, collaborate with product and engineering on acceptance criteria, investigate and track defects, and advocate shift-left testing and continuous quality improvements.

Design and deploy automation systems for high-volume optical transceiver manufacturing, including AI-based machine vision, robotics, motion control, testing, packaging, and process integration. Lead automation from concept through qualification and production ramp, resolve equipment issues, improve yield and throughput, collaborate with vendors and engineering teams, and develop documentation, validation protocols, and capital equipment justifications.

Designs and leads enterprise network automation and architecture initiatives using Python, Ansible, Terraform, CI/CD, and Linux. Develops automation tools, testing frameworks, deployment pipelines, and secure scalable network solutions. Leads architectural decisions, code reviews, documentation, stakeholder collaboration, and technical mentorship while supporting network operations and on-call rotations.