1,067 Terraform jobs available for remote work from home. Apply for positions such as Member of Technical Staff, Platform, Senior / Staff Full Stack Software Engineer (TypeScript) – Remote, Staff SIP Engineer, and more! Discover the best work-from-home or hybrid, full- and part-time jobs.
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Architect and build SkyPilot's commercial managed control plane, focusing on the API server, multi-tenancy, and enterprise-grade platform services. Ensure the reliability, scalability, and security of the hosted infrastructure to support large enterprise GPU fleets.
Design, build, and scale mission-critical full-stack applications and high-throughput distributed systems on AWS. Collaborate with cross-functional teams to implement AI-powered product improvements and maintain operational excellence.
Manage and optimize a distributed cloud-based VoIP platform using tools like Kamailio and FreeSWITCH. Develop Golang-based microservices and implement observability for SIP/RTP flows to ensure high call quality and reliability.
Build and maintain CI/CD pipelines and manage AWS infrastructure using Terraform and Kubernetes. Support the adoption of AI engineering platforms and develop internal tooling to optimize operational workflows.
Design, deploy, and maintain critical IT infrastructure, including server systems, cloud services, and virtualization platforms. Automate routine tasks using PowerShell and implement Infrastructure as Code principles to ensure system reliability and security.
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Design, develop, and maintain enterprise-scale Python data pipelines and analytical solutions for renewable energy operations. The role involves building scalable ingestion pipelines and developing performance monitoring tools to analyze asset degradation and availability.
Build and manage AWS cloud infrastructure using Infrastructure as Code and CI/CD pipelines. Develop AI-native solutions to automate platform operations and optimize cloud performance and costs.
Research and develop new features and secure, scalable APIs across the product and infrastructure. Design and deploy infrastructure using Terraform while integrating third-party APIs and serving as a technical contact for customers.
Design and implement complex Amazon Connect and AWS solutions, translating business goals into secure, scalable architectures. Lead the technical delivery of IVR workflows, custom agent experiences, and integrations with external CRM and ERP systems.
Design, implement, and maintain scalable and secure AWS cloud infrastructure using Infrastructure as Code. Optimize CI/CD pipelines and monitor production environments to ensure platform reliability and operational excellence.
Design and maintain scalable, secure AWS infrastructure using Infrastructure as Code and CI/CD automation. Monitor production environments and collaborate with cross-functional teams to improve platform reliability and performance.
Design and maintain scalable, secure AWS infrastructure using Infrastructure as Code and CI/CD automation. Monitor production environments and collaborate with cross-functional teams to improve platform reliability and performance.
Design and maintain scalable, secure AWS infrastructure using Infrastructure as Code and CI/CD automation. Monitor production environments and collaborate with cross-functional teams to improve platform reliability and performance.
Design and maintain scalable, secure AWS infrastructure using Infrastructure as Code and CI/CD automation. Monitor production environments and collaborate with cross-functional teams to improve platform reliability and performance.
Lead the migration of enterprise SQL Server databases to PostgreSQL while modernizing supporting application components and cloud infrastructure. Develop backend services and modernize the data access layer using C#, Node.js, and C++ within an AWS environment.
Design and develop internal services and tools in Go to support deployment automation and an internal developer platform. Maintain scalable CI/CD pipelines and Kubernetes-based environments while improving observability and infrastructure as code.
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Design and implement cloud infrastructure using IaC tools and manage containerized applications via Kubernetes. Automate operational workflows by developing Python software to increase efficiency.
Design and maintain scalable MLOps infrastructure and CI/CD pipelines for machine learning and Generative AI applications. Monitor production ML systems and manage the end-to-end model lifecycle including deployment and governance.
Architect and build sophisticated AI agents using Gemini and CXAS, focusing on reasoning, grounding, and tool-use capabilities. Manage the migration of legacy conversational interfaces and implement RAG pipelines and CI/CD automation for scalable deployments.
Design and deliver scalable backend and cloud systems to power AI-driven products using modern LLM APIs. Develop agentic AI workflows and maintain production-grade infrastructure on AWS using Terraform.
Lead a new team of AI Software and Platform Engineers to transition AI concepts into scalable, production-grade backend systems. Drive the end-to-end implementation of AI use cases and shape the internal AI platform for model access, governance, and cost management.
Design, deploy, and maintain secure and scalable Data platforms on AWS using Infrastructure as Code. Automate deployments via CI/CD pipelines and optimize environment performance, costs, and reliability.
Lead the architecture and hands-on development of a next-generation AI-led online banking platform using .NET Core and C#. Mentor a small agile team of engineers while collaborating with product and security leaders to ship robust financial services solutions.
The role involves setting up and maintaining production and staging infrastructure while developing Gitlab CI pipelines. The engineer will collaborate with product teams to design complex IT systems and respond to monitoring events.
Design and implement AI/ML solutions and Agentic AI architectures using Vertex AI and Gemini Enterprise on GCP. Manage data platforms, automate infrastructure with Terraform, and maintain MLOps pipelines in Kubernetes environments.
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Design and lead the end-to-end solution architecture for scalable, cloud-native enterprise applications using Java and AWS. Drive technical decisions, create detailed design documentation, and mentor engineering teams throughout the software development lifecycle.
Lead a small engineering team to maintain the stability and security of the current RGR application while managing sprint priorities and code quality. Split time between hands-on full-stack development and technical leadership, acting as a bridge to the next-generation platform team.
Build and maintain features for the current RGR application using a Python/Django and React/TypeScript stack. Collaborate with the Tech Lead and the new platform team to ensure stability, security, and a smooth technical transition.
Maintain the stability and security of the AWS production environment during its sunset phase. Simultaneously build and evolve the reliability and scalability of the new Google Cloud Platform infrastructure.
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