Top Remote Infrastructure Engineer Jobs

Build and operate AWS GovCloud data infrastructure across development, preproduction, and production environments. Establish PostgreSQL platforms, infrastructure-as-code with Chef, BI infrastructure, identity integrations, monitoring, observability, CI/CD, and disaster recovery. Support data pipelines, troubleshoot incidents, optimize databases, and ensure FedRAMP and FISMA compliance. Collaborate with security, compliance, DevOps, and data engineering teams while delivering greenfield infrastructure from architecture through production.

Lead design and operation of on‑prem virtualization and private cloud infrastructure, migrate VMware to KVM, drive storage migrations, build and maintain IaC (Terraform/Packer/Ansible), operate distributed storage (NFS/CIFS/block), ensure R&D environment resilience, troubleshoot incidents, mentor junior engineers, and contribute to CI/CD and automation tooling.

The Senior Infrastructure Engineer will design, build, and operate foundational systems for Scrunch, focusing on cloud infrastructure, developer tooling, and reliability.

The Lead Infrastructure Engineer will define and build infrastructure at Atticus, managing platforms, security, reliability, and empowering engineering 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.

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.

Design, build, and operate secure cloud-native and edge infrastructure for classified and commercial environments. Own end-to-end platform outcomes, harden artifact pipelines for signed builds across cloud and air-gapped deployments, embed with product teams to advise on secure deployments, and support compliance/audit activities (STIGs, CVE remediation) to enable operation in IL5/IL6/JWICS environments.

Design, build, and maintain scalable AWS and Azure infrastructure using Infrastructure-as-Code. Develop automation, deployment pipelines, and production release processes. Contribute code to cloud services, manage networking and IAM, ensure availability and security, and respond to incidents while collaborating on observability and security practices.

As an ML Ops Infrastructure Engineer, you will design CI/CD pipelines for ML, maintain deployment systems, and implement monitoring while collaborating with research teams to ensure model quality and performance.

The Senior Infrastructure Engineer will improve system reliability and efficiency, develop standards and tooling, and collaborate with engineering teams to optimize workflows and cloud infrastructure.

Design, implement, and deploy scalable ML training and evaluation platforms. Own end-to-end projects, make architectural decisions, drive prioritization, collaborate cross-functionally, and mentor engineers to accelerate autonomous driving model development.

Build and deploy scalable ML training and evaluation platforms, drive technical projects and architectural decisions, collaborate with partner teams, prioritize platform improvements, ensure reliability and performance, and mentor junior engineers.

Help improve reliability and stability of Webflow's production infrastructure: maintain monitoring and observability tooling, optimize Kubernetes workloads for scalability and fault tolerance, occasionally debug/fix Node/Python/Go application code, collaborate with Support/Partnerships/Sales, and participate in on-call and incident response processes.

Own and architect Headway's cloud platform: deployments, autoscaling, capacity, container footprint (ECS/EKS), networking, Terraform self-serve, cost attribution, and Python monolith runtime health to make infrastructure safe, scalable, and self-serve for engineers.

Lead infrastructure security for GitLab’s FedRAMP and federal cloud environments. Set technical direction, architecture, security automation, and compliance patterns; own security posture; lead threat modeling, security reviews, continuous monitoring, and authorization-impacting initiatives. Partner with SRE, engineering, compliance, and leadership to drive remediation and roadmap decisions. Apply AI to constrained security workflows, mentor engineers, and influence security practices across GitLab offerings.

Own and evolve Opto's AWS infrastructure and EKS lifecycle, manage Terraform IaC at scale, support multi-account networking and data governance, partner with Security/Compliance for audit readiness, scale platform reliability, and coordinate hosted infrastructure for stakeholders.

Own and lead Coinbase’s developer infrastructure platforms, including CI, build systems, and deployment orchestration. Set technical direction for complex cross-team initiatives, improve build and deployment performance, manage reliability and observability, and drive platform migrations and adoption. Partner with engineering leaders, operate production systems, mentor engineers, and deliver scalable tools used across the organization.

Build and scale AI platform infrastructure for internal agents across AWS/GCP. Integrate identity (Okta, OAuth2/OIDC), implement agentic security, containerized deployments (Docker/Kubernetes), CI/CD and Terraform-based pipelines, run vendor evaluations, and design observability/telemetry for LLM-driven workflows while collaborating with security, identity, and engineering teams.

Own stability, performance, and improvement of enterprise BI platforms. Troubleshoot multi-layer issues, manage operational tasks, support BI users, drive root-cause fixes, automate support using AI/LLM, pilot AI-powered support capabilities, and establish governance for safe AI usage while tracking efficiency metrics.

Supports and improves enterprise cloud and infrastructure reliability, scalability, performance, and capacity. Troubleshoots complex mission-critical systems, designs infrastructure solutions, automates provisioning and operational tasks, evaluates technologies, and provides recommendations for long-term supportability. The role requires expertise in enterprise storage, data protection, operating systems, Azure cloud infrastructure, scripting, and automation.

Lead design, deployment, and operation of Caldera's blockchain infrastructure. Build and expand DevOps pipelines, manage Kubernetes/AWS deployments, implement IaC (Terraform/Helm), enhance observability, optimize performance, and maintain infrastructure security for production rollup chains.

Build, secure, scale, and maintain cloud infrastructure supporting SaaS products, databases, storage, search, microservices, and machine-learning pipelines. Operate Kubernetes workloads, automate infrastructure with Terraform and Helm, improve reliability and observability, optimize costs, define SLOs and SLAs, participate in incident response and on-call rotations, address vulnerabilities, support customer security integrations, and maintain compliance with SOC 2, HIPAA, and GDPR requirements.