1,365 Terraform jobs available for remote work from home. Apply for positions such as Senior DevOps Engineer (Kubernetes team), Senior Data Engineer, Staff Cloud Engineer, and more! Discover the best work-from-home or hybrid, full- and part-time jobs.
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The role involves building, maintaining, and optimizing shared AWS infrastructure and platform services using infrastructure as code. You will also support reliable deployments, improve system observability, and partner with engineering teams on scalable design.
The Senior Data Engineer will own the end-to-end data substrate, including ingestion, modeling, and governance within a Databricks and Azure environment. They will build and maintain serving layers for AI agents while ensuring data quality, performance, and cost-efficiency through automated infrastructure and monitoring.
The Staff Cloud Engineer will own the technical direction of the AWS platform, focusing on cost visibility, infrastructure automation, and CI/CD standardization. This role involves hands-on management of Kubernetes clusters, Terraform modules, and cross-team collaboration to improve deployment efficiency and platform reliability.
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You will own the end-to-end architecture of distributed, cloud-native systems and translate complex business requirements into shippable technical plans. Additionally, you will raise the team's technical standards through code reviews, design critiques, and active mentorship.
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The Cloud Engineer is responsible for designing, implementing, and supporting enterprise-scale Microsoft Azure environments using Infrastructure as Code and DevOps practices. They will manage cloud infrastructure, networking, security, and automation while collaborating with cross-functional teams to ensure high availability and performance.
The engineer will build and maintain scalable, cost-effective AWS infrastructure using Terraform and modern IaC practices. They will also drive release automation through advanced CI/CD pipelines and collaborate with cross-functional teams to ensure system security and performance.
The Director of Engineering will lead the infrastructure and reliability team to evolve the platform into a scalable, secure, and highly available system. This role involves driving technical strategy for cloud infrastructure, DevOps practices, and cross-functional collaboration to support rapid growth.
Design, build, and operate secure, automated cloud infrastructure to support Security Operations Center (SOC) missions. Develop automation, integrate APIs, and implement security controls across the software and infrastructure development lifecycle.
The engineer will develop and maintain automated test suites for multi-stage DevSecOps workflows and validate system integrations across AI-enabled platforms. They will collaborate with cross-functional teams to integrate testing into CI/CD pipelines and ensure reliability, security, and quality standards are met.
The Senior Cloud Solutions Engineer will lead white glove support for cloud adoption and architect custom ServiceNow applications connected to legacy systems. They will collaborate with cross-functional teams to manage technical deliverables, provide subject matter expertise, and maintain a best practices knowledge base.
The role involves executing and monitoring automated application build and deployment processes while collaborating with senior staff to maintain CI/CD pipelines. You will also perform code quality and security analysis to ensure high-quality software delivery.
The Senior DevOps Engineer will design, implement, and manage secure cloud infrastructure solutions using AWS and Azure services. They will also collaborate with development teams to integrate security into CI/CD pipelines and conduct regular security audits.
Lead a technical pod of DevOps/DevSecOps engineers while maintaining hands-on involvement in architecture, coding, and pipeline development. Manage project delivery, including sprint planning, stakeholder reporting, and ensuring adherence to security and compliance standards.
You will lead the end-to-end design, build, and migration of Azure-based AI agent platforms for enterprise clients. Additionally, you will provide delivery leadership by mentoring junior consultants and managing client relationships to ensure successful project outcomes.
The Data Engineer will build and maintain data platforms to provide timely, accurate data for operational teams and business stakeholders. They will also collaborate with data scientists and DevOps teams to deploy pipelines, optimize transformations, and implement infrastructure as code.
The Sales Engineer II supports technical engagements by conducting discovery sessions, designing cloud infrastructure solutions, and delivering product demonstrations. They partner with Account Executives to align technical solutions with business objectives and assist in the transition to delivery teams.
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You will build and manage foundational cloud infrastructure using Infrastructure as Code while optimizing for cost, performance, and security. Additionally, you will improve platform transparency and collaborate with cross-functional teams to ensure infrastructure aligns with business goals.
You will be responsible for designing, implementing, and maintaining scalable cloud infrastructure on Azure while managing deployment architectures and continuous delivery pipelines. Additionally, you will collaborate with development teams to optimize system performance, ensure security best practices, and automate infrastructure provisioning.
Architect, manage, and scale enterprise Kubernetes infrastructure while driving automation and FinOps principles to ensure efficiency. Collaborate cross-functionally to optimize resource management and mentor engineering teams to maintain technical excellence.
Design, build, and evolve internal platform infrastructure while automating manual maintenance tasks to reduce cognitive load for engineering teams. Collaborate across teams to improve reliability, security, and cost-efficiency using infrastructure as code and container orchestration.
Design and develop agentic AI systems, including orchestration, infrastructure, and complex backend workflows. Implement monitoring, observability, and data access layers to ensure reliable and scalable production performance.
You will design, implement, and operate secure, scalable Azure platform capabilities while building infrastructure using Terraform and GitOps processes. Additionally, you will mentor engineers, apply Generative AI to infrastructure tasks, and collaborate with technical teams to drive platform engineering practices.
You will lead a team of DevOps engineers to manage and optimize cloud infrastructure while implementing infrastructure-as-code solutions. The role involves collaborating with cross-functional teams to ensure service reliability, security, and efficiency across AWS, GCP, and Azure platforms.
You will deliver professional services including installation, migration, training, and advisory engagements for GitLab customers. You will also act as a technical advisor, mentoring team members and collaborating with product teams to drive customer success.
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Design, build, and operate the Sessions and Tasks APIs that support various Copilot agent surfaces. Lead the evolution of agent registry and remote steering models while ensuring secure policy enforcement across distributed systems.
You will design, build, and operate scalable cloud-native infrastructure while automating deployment workflows to improve developer productivity. Additionally, you will partner with security and engineering teams to define non-functional requirements and resolve complex production incidents.
The Senior DevOps Engineer will design, implement, and operate scalable cloud infrastructure and Kubernetes platforms using AWS and Terraform. They will also drive automation, improve deployment workflows, and ensure system reliability, security, and observability.
The engineer will build and maintain the platform foundation, including event backbones, CI/CD pipelines, and GovCloud environments. They are responsible for ensuring system reliability, scalability, and security while supporting application and data teams.
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