Top Remote Infrastructure Engineer Jobs

Own product and infrastructure security across fintech products and cloud environments. Lead threat modeling, architecture reviews, secure code reviews, vulnerability management, bug bounty operations, CI/CD security scanning, IAM and secrets management, and security standards. Partner directly with engineering leadership to identify and remediate critical vulnerabilities across backend services, APIs, frontends, Solana programs, and infrastructure.

Leads Wasabi’s AI infrastructure, data factory, and developer partnerships strategy. Hunts and originates new relationships, develops joint go-to-market and co-selling motions, structures revenue-generating deals, and manages executive partner relationships. The role collaborates with Business Development, Sales, Marketing, and Product, builds the developer ecosystem, tracks pipeline and revenue performance, and represents Wasabi at industry events. Candidates need deep AI infrastructure and storage expertise, an established industry network, and a proven record of closing strategic partnerships.

Build and maintain Azure infrastructure as code using Terraform or Bicep. Develop CI/CD pipelines, reusable modules, governance standards, networking, identity, RBAC, and Key Vault configurations. Enforce Azure Policy, remediate configuration drift, document infrastructure, and collaborate with the client’s internal team. This is a fully remote, part-time contract requiring approximately 25 hours weekly during Eastern business hours.

Design and build Kubernetes-based LLM serving infrastructure, including GPU scheduling, scaling, model lifecycle management, Helm packaging, enterprise and offline deployments, API integrations, and production observability. Develop across a multi-service Go codebase, contribute design documentation and reviews, and help guide engineering direction. The role requires strong Kubernetes, distributed systems, CI/CD, and infrastructure-as-code expertise, with GPU, inference, or adjacent systems experience.

Leads infrastructure and data platform strategy across multiple technology teams. Oversees technical architecture, modernization, cost optimization, high-priority incident escalation, vendor collaboration, proof-of-concept development, and technology roadmaps. Provides technical leadership, mentoring, coaching, and best-practice evangelization while driving interoperability, innovation, and consistent platform adoption across the portfolio.

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.

Lead cloud migration, AI platform adoption, and operational optimization. Design and automate cloud infrastructure (IaC, CI/CD), monitor and troubleshoot systems, guide security and architecture decisions, and document/educate teams to ensure scalable, redundant cloud/AI deployments.

Lead design and delivery of agentic AI systems and LLMOps on AWS to generate, validate, and deploy infrastructure-as-code (Terraform). Build multi-agent applications, RAG pipelines, and AIOps for cloud operations; integrate AI into CI/CD and ITSM. Set technical direction, establish guardrails/policy-as-code, curate reusable Terraform modules, and mentor engineering teams.

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.

Build and maintain scalable infrastructure for AI agents, app building, hosting, SDKs, and an enterprise platform. Design distributed, multi-tenant, data-intensive services; develop clean, maintainable code in monorepos; and independently ship customer-impacting changes. The role uses TypeScript, React, containers, Postgres, Redis, Temporal, and related cloud and AI technologies. Candidates should demonstrate strong system design, architecture, data modeling, API design, product sense, and advanced AI-assisted development skills.

Deploy, integrate, operate, and optimize high-performance NFS storage for GPU-accelerated Kubernetes and AI platforms. Configure Linux storage and networking, integrate CSI storage into k0s and K0rdent clusters, automate provisioning through Terraform/OpenTofu and GitOps, and build observability for capacity, performance, and reliability. Diagnose end-to-end storage issues across hybrid, edge, and air-gapped environments while establishing operational standards.

Designs, builds, and operates secure, scalable AWS and Azure cloud infrastructure across multi-account environments. Develops Infrastructure as Code, CI/CD pipelines, automation, observability, and IAM governance. Supports production reliability, incident response, FinOps, FedRAMP and HIPAA compliance, and AI-assisted engineering practices. Partners with product, security, and engineering teams to establish cloud standards, guardrails, and reference architectures.

Designs, deploys, modernizes, and maintains hybrid physical, virtual, and cloud infrastructure for Department of State systems. Responsibilities include Infrastructure as Code, containerization, automated provisioning, configuration-drift remediation, Windows and Linux platform support, cloud compliance, security audits, capacity management, vendor coordination, and adoption of converged or hyperconverged infrastructure.

Designs, deploys, maintains, and modernizes hybrid physical, virtual, and cloud infrastructure for Department of State systems. Provides engineering support across Windows, UNIX/Linux, virtualization, IaaS, PaaS, and SaaS environments; implements containerization and Infrastructure as Code; audits configuration and security compliance; supports cloud migration, provisioning, capacity, performance, and availability. Coordinates with vendors and stakeholders while ensuring FedRAMP, data sovereignty, and Department of State security requirements.

Design and scale infrastructure for cloud and on-premises deployments supporting enterprise AI workloads. Build containerized systems, Kubernetes and Docker Compose deployments, Helm charts, CI/CD pipelines, infrastructure automation, monitoring, and security solutions. Support customer production deployments, troubleshoot distributed systems, improve developer productivity, mentor engineers, and establish infrastructure standards across engineering teams.

Designs, implements, and maintains Azure cloud infrastructure, Azure DevOps pipelines, and Terraform-based Infrastructure as Code. Serves as a technical expert across infrastructure and application teams, ensures cloud solutions meet security and vendor best practices, develops technology roadmaps, performs root cause analysis, and documents managed services. The role also supports Microsoft cloud integrations, lifecycle planning, and communication of technical concepts to nontechnical stakeholders.

Design and develop a high-performance, multi-tenant ML training platform for autonomous vehicle systems. Responsibilities include building orchestration, control plane, observability, data and model pipelines, performance optimization, profiling tools, and scalable infrastructure. The role provides technical direction, collaborates across ML, infrastructure, autonomy, and safety teams, and promotes engineering excellence and reusable tooling for machine learning engineers.

Provides systems-level testing for IBM mainframe infrastructure and services. Plans and executes risk-based validation for z/OS, middleware, batch, scheduling, security, storage, networking, resiliency, upgrades, performance, and disaster recovery. Analyzes failures and dependencies, manages defects and evidence, validates non-production environments, automates repeatable testing, and coordinates with engineering, operations, application, cybersecurity, and change-management teams. The role also mentors engineers and documents specialized mainframe knowledge.

You will architect and build cloud infrastructure, optimize systems, evolve CI/CD pipelines, manage infrastructure, and mentor engineers, focusing on AI-driven solutions.

Set technical vision for Pinterest’s Product ML Infrastructure, leading distributed model training, fine-tuning, evaluation, and high-scale CPU/GPU inference. Improve GPU efficiency, data loading, execution, kernels, memory, compilation, quantization, scheduling, and capacity. Build reliable, observable training and serving platforms, drive architecture decisions and migrations, partner with AI/ML teams, mentor senior engineers, and establish operational standards across the organization.

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.

Leads the technical vision and execution of Pinterest’s large-scale indexing and retrieval infrastructure across Core, Ads, and Shopping. Drives architecture modernization, real-time and incremental retrieval, shared platform capabilities, metrics, debugging workflows, and improvements in relevance, freshness, reliability, coverage, and cost. Partners across engineering, product, ML, and infrastructure organizations, mentors senior technical staff, and validates AI-assisted engineering work with strong attention to correctness, privacy, safety, and operational excellence.

Owns engineering, administration, scaling, and reliability for Microsoft Azure, Microsoft 365, Entra ID, and Azure Virtual Desktop environments. Serves as the Tier 3/4 escalation authority for cloud, identity, messaging, virtualization, and infrastructure issues. Designs Azure infrastructure, manages Zero Trust controls, supports SOC 2 compliance and incident response, aligns outsourced helpdesk operations, and automates tenant administration through PowerShell and Microsoft Graph API.

Owns engineering, administration, scaling, and reliability for Microsoft 365, Entra ID, Azure, and Azure Virtual Desktop environments. Serves as a Tier 3/4 escalation lead, manages identity and Zero Trust controls, supports Exchange Online and virtualization, collaborates on security and SOC 2 compliance, and automates tenant administration using PowerShell and Microsoft Graph API. The role also aligns outsourced helpdesk operations, develops SOPs, and leads complex troubleshooting and incident containment.

Build and operate Helius’s bare-metal infrastructure platform. Responsibilities include automating server provisioning and lifecycle management, developing fleet tooling, standardizing CI/CD and deployment processes, implementing security controls, analyzing infrastructure costs, improving observability, participating in on-call response, and documenting operational procedures.