1,442 Terraform jobs available for remote work from home. Apply for positions such as Sr Platform Engineer (GitLab practice), IT, Cloud & Security Administrator, Senior Director, Global Infrastructure Technology & Operations, and more! Discover the best work-from-home or hybrid, full- and part-time jobs.
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You will administer GitLab self-managed environments and lead enterprise migrations while designing optimized CI/CD and DevSecOps pipelines. Additionally, you will deploy the GitLab Duo Agent Platform and provide advisory services to federal and defense customers.
The administrator will manage the corporate IT environment and AWS cloud infrastructure to ensure security and operational efficiency. They will serve as the primary point of contact for employee IT support while implementing technical controls for compliance and data protection.
The Senior Director will lead the global enterprise infrastructure strategy, architecture, and operations across cloud, networking, and security platforms. This role ensures the technology foundation is resilient, scalable, and compliant with clinical and regulatory standards while managing global infrastructure teams.
Develop, maintain, and optimize scalable batch and streaming data pipelines to support analytics and AI workloads. Ensure data quality, security, and compliance while collaborating with cross-functional teams to deliver ML-ready datasets.
Develop, maintain, and optimize scalable batch and streaming data pipelines to support analytics and AI workloads. Ensure data quality, security, and governance while collaborating with cross-functional teams to deliver production-ready datasets.
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Design and deliver backend features in Python for large-scale enterprise SaaS while managing data pipelines that process high-volume IoT sensor data. Collaborate with cloud and data science teams to ensure system consistency, scalability, and reliability across distributed edge clients.
The Senior Platform Engineer will build and maintain cloud infrastructure, CI/CD pipelines, and developer tooling to support the full software development lifecycle. This role also involves implementing infrastructure for AI-assisted development and ensuring platform reliability, security, and scalability.
The role involves architecting and coding production-grade agentic AI solutions that bridge Google's AI products with customer infrastructure. You will serve as a lead developer, optimizing performance, ensuring security, and transforming prototypes into scalable enterprise-grade applications.
You will serve as the first dedicated Product Security Engineer to systematically identify, prioritize, and remediate vulnerabilities across the company's product and infrastructure. This role involves building security automation, threat modeling new features, and partnering with engineering teams to ensure secure development practices.
Design multi-cloud strategies, reference architectures, and platform capabilities across AWS, Azure, GCP, and OCI. Focus on creating abstraction layers, federated identity, and cross-cloud networking to simplify complexity for product teams.
The DevOps Automation Engineer will design, build, and maintain infrastructure-as-code foundations using Terraform. This role involves creating reusable modules, hardening pipelines, and standardizing infrastructure delivery across cloud environments.
The role involves designing, building, and deploying infrastructure solutions to improve product reliability and organizational efficiency. You will also mentor teams on DevSecOps best practices and implement effective monitoring and security scanning.
The Site Reliability Engineer will architect, extend, and scale the global observability platform to ensure high availability and performance across hybrid environments. Responsibilities include designing scalable observability pipelines, defining SLIs/SLOs, and automating infrastructure to reduce toil and improve system resilience.
The Site Reliability Engineer will develop and maintain global monitoring and observability platforms while ensuring the uptime and scalability of critical cloud services. Responsibilities include writing code in Go and Javascript, managing GCP infrastructure, and participating in on-call rotations to resolve system issues.
The Senior Site-Reliability Engineer will design, implement, and maintain scalable infrastructure using Infrastructure as Code practices while ensuring high availability for Windows-based production environments. They will also manage configuration management solutions, monitor system health, and collaborate with development teams to optimize deployment pipelines.
Develop and manage cloud-native infrastructure supporting large-scale machine learning workloads on Kubernetes. Partner with cross-functional teams to productionize ML solutions while ensuring platform reliability, security, and scalability.
You will design, maintain, and improve data pipelines and infrastructure across the full data lifecycle. Additionally, you will collaborate with stakeholders to define data flows, create data contracts, and provide technical guidance to the team.
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The Azure Kubernetes Platform Engineer is responsible for designing, deploying, and operating production-grade AKS clusters with a focus on security, reliability, and performance. This role acts as the subject-matter expert for Kubernetes deployments, troubleshooting, and infrastructure lifecycle management.
You will architect and optimize cloud infrastructure for a global HR tech platform, focusing on Azure and Kubernetes environments. The role involves automating CI/CD pipelines, managing containerized applications, and collaborating with cross-functional teams to ensure system reliability.
Design, develop, and optimize high-performance distributed data processing applications using Apache Spark. Collaborate with cross-functional teams to build scalable batch and real-time ETL pipelines for enterprise analytics and machine learning.
Design and develop high-performance backend services and distributed systems using Rust. Collaborate with cross-functional teams to build scalable APIs, asynchronous processing pipelines, and infrastructure automation tools.
The AWS Cloud Engineer is responsible for designing, deploying, and maintaining secure cloud infrastructure within IL6 environments for government programs. They will also develop backend services, APIs, and scalable database architectures while ensuring compliance with DoD and NIST security standards.
The Platform & DevSecOps Delivery Architect will build and maintain an automated, secure 'Golden Path' deployment platform to streamline software delivery. This role involves orchestrating CI/CD pipelines, implementing DevSecOps security gates, and managing self-hosted AI infrastructure.
![Hatch is hiring for remote Senior DevOps Engineer - Electronic Arts [EADV261006]](/assets/9d5d581c-7571-488b-b8fb-a4242430c0fa.jpg){kind=small}
The Senior DevOps Engineer will lead the deployment strategy, reliability, and infrastructure for high-concurrency cloud environments supporting EA games. Responsibilities include designing resilient Infrastructure as Code, building automated CI/CD pipelines, and establishing deep observability across microservices.
The Cloud Security Engineer designs, automates, and deploys production-grade services across multiple cloud platforms while collaborating with development and architecture teams. They also provide Level 3 technical support, resolve integration issues, and maintain secure, scalable infrastructure.
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Design and implement comprehensive security architectures for AWS infrastructure, including network security, identity management, and data protection. Automate security policies, manage compliance, and perform continuous monitoring and incident remediation using DevSecOps practices.
Build and maintain developer-facing integrations such as the CLI, Terraform provider, and IDE extensions. Collaborate with internal teams and customers to translate feedback into durable, scalable tooling improvements.
You will design and implement secure, compliant GCP infrastructure, identity, and networking controls to support enterprise-scale production and AI workloads. Additionally, you will codify infrastructure and CI/CD pipelines while collaborating with cross-functional teams to ensure audit-ready platform delivery.
Develop and deliver high-performance AI features to help users detect, triage, and resolve incidents using observability data. Collaborate with cross-functional teams to prototype, test, and scale agent-powered workflows for incident lifecycle management.
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