3,166 Scripting jobs available for remote work from home. Apply for positions such as CRM Migration & Automation Specialist , Bilingual Tier 1 Support Representative, PLM Solution Architect , and more! Discover the best work-from-home or hybrid, full- and part-time jobs.
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The specialist will manage the migration from HubSpot to GoHighLevel, including auditing, rebuilding, and testing CRM workflows and sales pipeline automations. They will also support system integrations across various platforms and ensure all technical requirements are documented and validated before launch.
The representative will diagnose and resolve complex VoIP technical issues, including call quality, registration, and connectivity problems. They will also manage escalated customer incidents while maintaining detailed documentation and coordinating with internal teams and third-party vendors.
Lead technical implementation teams in the deployment of Aras Innovator solutions while facilitating workshops and building consensus among stakeholders. Develop conceptual solution architectures and transform customer requirements into functional technical specifications.
The Sr. Global Implementation Manager leads the end-to-end delivery of complex, multi-national travel programs while designing scalable global playbooks. This role orchestrates cross-functional teams and technology integrations to ensure operational readiness and consistent business outcomes across diverse markets.
The Platform Engineer will design, automate, and operate the enterprise Microsoft Fabric platform while ensuring reliability, security, and scalability. They will also build CI/CD pipelines, manage platform capacity, and provide support to Data Engineering, BI, and AI teams.
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Lead and advance the organization's threat detection and cyber defense engineering capabilities by overseeing security automation and defensive solutions. Manage teams responsible for detection content, SOAR workflows, and threat intelligence integration to improve incident response and operational efficiency.
Design, build, and maintain innovative network tools and automation solutions to meet evolving business needs. Collaborate with cross-functional teams to refactor existing tools and ensure optimal application performance and security.
The Azure Platform Engineer will design, deploy, and manage large-scale, secure cloud platforms on Microsoft Azure. Responsibilities include owning the end-to-end cloud engineering lifecycle, including infrastructure-as-code, automation, security hardening, and operational excellence.
Design and build software tooling, firmware, and infrastructure to support semiconductor design, verification, and post-silicon validation. Collaborate with cross-functional teams to accelerate silicon development cycles and improve performance and quality.
The Kafka Engineer will architect, deploy, and operate large-scale Apache Kafka and Confluent platform environments for mission-critical workloads. They will also manage cluster security, automation, observability, and provide mentorship to junior engineering staff.
Design and implement scalable data solutions using Microsoft Fabric, Azure SQL, and modern data warehousing architectures. Manage end-to-end data pipelines, optimize database performance, and support AI-driven analytics initiatives.
The role involves developing and maintaining automated and manual test strategies across the software development lifecycle. You will collaborate with engineering teams to perform performance validation, technical debugging, and defect management.
The Network Engineer will design, implement, and maintain secure network architectures for converged IT/OT environments while enforcing cybersecurity policies. They will also lead incident response efforts, perform vulnerability assessments, and collaborate with cross-functional teams to ensure secure industrial system deployments.
Manage and maintain cloud-based IT infrastructure while providing second-level problem diagnosis and resolution. Coordinate configuration changes, perform Linux administration, and develop Ansible playbooks to support mission-driven systems.
The Senior DevOps Engineer will design and implement enterprise-grade GitLab CI/CD pipelines to support Oracle-to-cloud data warehouse migrations. They will also automate deployment processes and provide technical mentorship to team members on DevOps best practices.
The Technical Engagement Manager will lead the end-to-end technical onboarding and configuration of security programs for customers. They will serve as a primary technical point of contact to ensure successful program launches, ongoing adoption, and effective stakeholder communication.
The Endpoint Engineer III is responsible for the engineering, administration, and optimization of enterprise endpoint security and data protection technologies. This role involves developing security policies, managing platform deployments, and providing advanced troubleshooting and technical leadership for security operations.
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The Fraud Operations Manager will lead and develop teams focused on fraud prevention, disputes, and compliance while defining operational strategies to drive efficiency. They are responsible for ensuring high-performance standards, managing queue health, and fostering cross-functional alignment to mitigate systemic risks.
The DevOps Engineer will design, implement, and support automated CI/CD pipelines and cloud-based infrastructure to enable secure software delivery. They will collaborate with cross-functional teams to maintain system scalability, performance, and security compliance within hybrid cloud environments.
The engineer will architect, implement, and maintain secure hybrid cloud network integrations between Azure, AWS, and on-premises environments. They will also collaborate with cross-functional teams to ensure high availability and utilize cloud-native monitoring tools for real-time performance management.
The JCL Mainframe Migration Engineer is responsible for analyzing, transforming, and migrating legacy mainframe batch processes to modern cloud-native architectures like Azure. This role involves automating batch jobs, optimizing performance, and collaborating with cross-functional teams to ensure functional equivalence during the transition.
The Cloud Infrastructure Engineer designs and delivers scalable cloud solutions while leading end-to-end workload migrations to Microsoft Azure. They are responsible for managing server systems, implementing Infrastructure as Code, and maintaining CI/CD pipelines to ensure high availability and performance.
The Security Operations Engineer will monitor cloud environments for threats and lead incident response efforts from detection to resolution. They are also responsible for maintaining security systems, conducting post-incident reviews, and documenting security activities.
The engineer will support enterprise infrastructure systems by contributing to the implementation, maintenance, and reliability of platforms across compute, storage, and cloud environments. They will also collaborate with cross-functional teams to troubleshoot issues, enhance performance, and ensure security compliance.
The role involves architecting, deploying, and maintaining highly available ELK clusters while automating operational tasks and deployment pipelines. You will also perform performance tuning, manage ingestion pipelines, and implement robust security measures across the stack.
The consultant will lead the end-to-end implementation of Business AI Cloud use cases, managing everything from requirement gathering to go-live. They will also build AI agents, configure knowledge pipelines, and manage integrations with enterprise systems like CRM and contact-center platforms.
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You will investigate and resolve product issues while focusing on long-term prevention and system stability. Additionally, you will automate manual customer requests and routine operations to streamline technical workflows.
Develop and integrate microservices using Java and Spring Boot to support cloud-based tax processing solutions. Collaborate with cross-functional teams to optimize application performance, implement data models, and ensure system reliability through rigorous testing.
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