Top Remote Infrastructure Engineer Jobs

Build and operate internal infrastructure solutions for engineering teams. Responsibilities include resolving infrastructure requests, executing cloud workload and storage migrations, developing Terraform modules, Helm charts, CLIs, and automation in Go or Python, documenting runbooks, and creating observability dashboards for cost, capacity, and usage. The role requires production Kubernetes and public cloud experience, infrastructure-as-code and GitOps expertise, and cross-functional project delivery.

Own and improve a multi-account AWS platform, including networking, security, certificates, file delivery, CI/CD, infrastructure as code, workflow automation, monitoring, incident response, and cost compliance. The role manages production changes, documents systems and runbooks, supports development deployments, troubleshoots scheduled data workflows, automates repetitive tasks, and coaches junior engineers. It requires strong AWS, Linux, Terraform, scripting, security, deployment, and operational communication skills.

Lead and grow the Developer Infrastructure team, owning strategy and execution for internal tooling, CI/CD, test infrastructure, release workflows, observability, and developer experience. The role combines people leadership with hands-on architecture, coding, debugging, mentoring, recruiting, cross-functional partnership, and platform reliability improvements.

Leads software engineering for employee platforms, designing, developing, testing, troubleshooting, and operating secure, scalable applications and data solutions. Builds ETL/ELT pipelines using Python, SQL, Databricks, Spark, Delta Lake, and lakehouse architectures. Improves automation, resiliency, monitoring, governance, CI/CD, and responsible AI-assisted development practices. Evaluates vendor and internal solutions, reviews code, guides peers, and eliminates recurring operational issues.

Own and improve CI/CD pipelines, LiveOps monitoring and alerting, infrastructure as code, and cloud infrastructure. Investigate broken deployments, performance issues, crashes, logs, metrics, and crash dumps. Support the health and reliability of the game’s live service across multiple environments.

Designs, deploys, and manages secure, scalable cloud infrastructure across AWS, Azure, or hybrid environments. Responsibilities include cloud networking, API gateways, IAM, Kubernetes and EKS administration, infrastructure automation, monitoring, disaster recovery, security, compliance, incident troubleshooting, and performance optimization. The role collaborates with application, platform, security, and DevOps teams while maintaining infrastructure standards and documentation.

Design, build, operate, and improve cloud infrastructure, deployment systems, observability, developer tooling, and distributed systems. Own infrastructure products end to end, manage systems with Terraform, support scalable AWS and Kubernetes environments, operate Redis/ElastiCache, participate in incident response, improve reliability and performance, and mentor engineers while collaborating across teams.

Operate, scale, and optimize distributed storage infrastructure supporting large-scale AI/ML and HPC workloads. Build Python automation, manage Linux bare-metal systems, troubleshoot storage, hardware, networking, and operating system issues, and improve performance, reliability, monitoring, capacity planning, and lifecycle management. Collaborate with infrastructure, networking, platform, and data center teams on storage deployments and scaling strategies.

Build, validate, and operate large-scale bare-metal GPU infrastructure for AI/ML and HPC workloads. Responsibilities include managing Linux systems, image pipelines, test clusters, provisioning, firmware and driver validation, GPU diagnostics, performance analysis with NVIDIA DCGM, automation, virtualization, and hardware management interfaces. The role requires troubleshooting across hardware and software layers while collaborating with infrastructure, hardware, data center, platform, and ML teams.

Own infrastructure, deployment, operational tooling, observability, deploy safety, and incident response for latency-sensitive institutional trading systems across cloud and colocated environments. Improve reliability, performance, and developer velocity; reduce single points of failure; establish operational standards and automation; partner with engineering, product, markets, and SRE; and mentor engineers in a 24/7 production environment.

Design, build, and run secure production infrastructure across cloud-native and air-gapped deployments. Own end-to-end platform outcomes, harden the artifact pipeline for signed releases, embed with teams to advise on security and deployment best practices, and partner with GRC on STIGs, CVE remediation, and audit readiness for classified environments.

Build, operate, and secure cloud-native and edge infrastructure including Kubernetes, artifact pipelines, application streaming, and air-gapped appliances. Partner with product, GRC, and mission owners to design, deploy, and harden systems, remediate vulnerabilities, support audits (IL5/IL6/JWICS), and ensure trusted artifact delivery across environments.

The Senior Infrastructure Engineer - Hosting will design and manage hosting environments, implement DevOps practices, and ensure the performance and security of cloud and on-premise systems.

Design, build, and operate distributed storage and file-system platforms for cloud-scale AI training and inference. Architect storage and caching for Kubernetes and GPU workloads, improve performance, reliability, observability, and resiliency, diagnose cross-layer production issues, and lead architecture reviews. Partner across infrastructure, networking, operating systems, and AI platform teams while mentoring engineers and shaping long-term storage strategy.

Own and improve Glydways’ Bazel monorepo infrastructure across C++, Python, and Go. Responsibilities include implementing remote caching and remote build execution, optimizing build and test performance, maintaining toolchains and dependencies, supporting embedded cross-compilation, improving CI/CD workflows with AWS and Buildkite, developing developer automation, monitoring build health, and participating in on-call support.

Develop and operate Akamai’s Linux-based cloud infrastructure, including bare-metal and virtual machine platforms, kernels, operating systems, and KVM/QEMU virtualization. Build software, automation, observability, and infrastructure enhancements at scale; troubleshoot complex distributed-system issues; collaborate across engineering and operations; mentor team members; and participate in on-call service restoration.

Lead the technical side of complex B2B infrastructure sales, partnering with territory management, prospects, customers, and partners. Conduct discovery, design solution architectures, deliver demonstrations and proof-of-concepts, respond to RFPs, resolve technical objections, and translate infrastructure requirements into commercially compelling solutions. Collaborate with Product, Engineering, Support, and Professional Services while contributing to technical sales materials, competitive positioning, and customer feedback.

Leads the design, automation, operation, and scaling of infrastructure across on-premises data centers, GCP, and AWS. Responsibilities include infrastructure as code, configuration management, networking, load balancing, DNS, monitoring, observability, distributed systems administration, documentation, technical direction, project leadership, and mentoring. The role requires deep Linux, hardware, networking, cloud, storage, backup, and Python automation expertise.

Build and operate foundational developer infrastructure across CI, build systems, deployment orchestration, and test platforms. Improve build speed, deployment safety, test reliability, observability, and engineering productivity at scale. Own services from architecture through production, including SLOs and on-call operations. Lead cross-functional technical projects, partner with engineering teams, mentor engineers, and shape platform strategy.

Build, maintain, and improve Weave’s cloud infrastructure for reliability, scalability, and performance. Responsibilities include automating infrastructure operations, designing highly available systems, managing Kubernetes and cloud services, developing monitoring and alerting tools, resolving production issues, and participating in a weekly on-call rotation. The role also involves Infrastructure as Code, GitOps, CI/CD, and collaboration with product engineering teams.

Evaluate properties for modular GPU-compute deployments by assessing electrical capacity, equipment, fiber, access, and permitting. Lead utility coordination, electrical design, contractor bids, construction, testing, commissioning, and turnover. Develop site-readiness standards and investment memos while coordinating utilities, consultants, vendors, network providers, and property teams. Maintain as-builts, capacity records, commissioning documentation, and vendor data. This remote role requires frequent travel throughout the United States.

Design, build, and operate foundational developer infrastructure across CI, build systems, deployment orchestration, and test platforms. Improve build speed, deployment safety, and test reliability while owning services end to end, including SLOs, observability, and on-call responsibilities. Partner with engineering teams to address platform pain points and lead cross-cutting technical projects through production.

Build and maintain scalable AWS infrastructure using Terraform and AWS CDK. Design highly available cloud environments, automate operational workflows with TypeScript, implement policy-as-code guardrails, optimize cloud costs, and lead disaster recovery planning and testing. The role also involves CI/CD, Kubernetes, networking, identity platforms, cross-team consensus building, project ownership, communication, and mentoring junior engineers.

Design, build, and operate large-scale online ML inference infrastructure to serve production models with low latency and high reliability. Optimize inference performance, enable distributed training workflows, integrate ML pipelines with orchestration systems, improve observability, and support safe model rollout, canary testing, and automated rollback. Lead architectural improvements and collaborate with ML engineers and product teams to scale, monitor, and streamline model deployment and iteration.

Build and operate reliable, scalable production infrastructure for GitLab’s user-facing services. Responsibilities include developing infrastructure automation and tooling, managing Kubernetes deployments, maintaining infrastructure as code, supporting CI/CD and GitOps, participating in on-call and incident response, improving observability and SLOs, troubleshooting production systems, and documenting operational practices. The role spans Intermediate through Senior Staff levels and requires strong software engineering, cloud, reliability, and asynchronous collaboration skills.