Top Remote Infrastructure Engineer Jobs

Lead NOC incident monitoring, troubleshooting, and resolution across SAN/NAS/object storage, Linux/Unix, Azure/AWS and hybrid platforms. Provide Level 2 operational support, drive MTTA/MTTR improvements, automate repetitive tasks, partner with engineering teams for production readiness, and contribute to service improvement and knowledge base initiatives.

Leads architecture and operation of NVIDIA’s global compute platform across bare metal, virtualized, and cloud environments. Responsibilities include managing Kubernetes, OpenShift, KubeVirt, large-scale GPU infrastructure, automated remediation, telemetry, capacity planning, infrastructure-as-code, self-service platforms, GitOps, and legacy workload migrations. The role requires influencing autonomous engineering teams, handling hardware failures and large-scale infrastructure constraints, and establishing operational maturity for frontier AI inference systems.

As an Infrastructure Engineer at Tempo, you'll build and manage infrastructure to enhance engineering efficiency and tackle challenges in the devops process.

The Software Engineer, Infrastructure will design, build, and operate core platform services while ensuring reliability, security, and efficiency through collaboration with various teams and improving developer experience.

Lead design and operation of test infrastructure at scale: test orchestration, smart selection, parallel sharding, flaky-test detection, observability, SLOs, and on-call. Define technical strategy, drive cross-team projects, mentor engineers, and reduce test feedback time to accelerate engineering velocity.

The Security Software Engineer will design and implement security controls for MongoDB Atlas, collaborating across engineering teams and ensuring adherence to high security standards.

The Senior Site Reliability Engineer will lead security design and implementation for cloud infrastructures, mentor teams, and automate security solutions.

Build, scale, and harden deep learning training infrastructure for multi-thousand GPU clusters. Improve data loaders, distributed training, scheduling, and performance monitoring. Develop fault-resilient orchestration, training pipelines for massive video datasets, and collaborate with researchers and platform teams to maximize training efficiency, availability, and scalability.

Modernize SQL Server systems by refactoring stored procedures, optimizing queries, designing migrations, and implementing event-driven patterns. Build AI-ready data infrastructure, including embedding pipelines, vector search, RAG retrieval services, synchronization workflows, and evaluation monitoring. Develop ETL/ELT pipelines across relational, cloud, and NoSQL platforms, supported by infrastructure-as-code, data quality controls, testing, and observability. Collaborate with engineering teams, troubleshoot production issues, document solutions, mentor engineers, and use AI coding assistants to accelerate modernization and development.

Operate and maintain Monad's globally distributed validator, full node, and archive fleets; own infrastructure-as-code, observability, and release automation; build AI-driven agentic operations and guardrails; harden services, manage secrets, and codify runbooks and tooling to reduce toil and support safe, automated operation of production node and model workloads.

Design and implement infrastructure services for a GPU-as-a-Service platform. Build REST and gRPC APIs, bare-metal provisioning workflows, Kubernetes cluster lifecycle services, reconciliation loops, reliability mechanisms, and interfaces for hardware and cluster health. The role requires Go, Kubernetes controller patterns, bare-metal provisioning, asynchronous systems, and experience with infrastructure technologies such as Metal3, Cluster API, and Temporal.

Lead and operate Kubernetes-based infrastructure (EKS/Porter), design CI/CD pipelines, ensure zero-downtime and high availability, and build observability and incident response practices. Collaborate with BizOps and data teams to support a modern lakehouse data platform and optimize SQL and data pipelines for performance and cost.

Build large-scale data pipelines and infrastructure for frontier AI model training. Develop data-processing models such as classifiers, quality filters, and labeling systems; design deduplication, quality scoring, labeling, and augmentation strategies; and create reliable tooling for researchers to explore and train on massive datasets. The role also evaluates how data quality and composition affect model outcomes, with web crawler experience as a bonus.

Own reliability, monitoring, and incident response for AI infrastructure; build automation and CI/CD tooling; manage Kubernetes/Docker production workloads; partner with infrastructure, security, and compliance; improve observability and documentation; develop internal full‑stack tooling in Go or Python.

Senior SRE on the IT Operations team owning reliability, monitoring, and incident response for AI infrastructure. Build automation, CI/CD and Kubernetes tooling, improve observability and documentation, and develop internal full-stack tools using Go or Python. Partner with Infrastructure, Security, and Compliance to scale secure, resilient AI deployment pipelines.

Build and maintain CI/CD pipelines, cloud infrastructure, Terraform automation, database systems, monitoring, and observability on Google Cloud. Support reliability, security, compliance, incident response, and shared on-call operations while applying backend engineering expertise to production services. The role manages PostgreSQL, Redis, BigQuery, Bigtable, and Firestore environments and contributes to disaster recovery and operational tooling.

Own and evolve Voltus’s infrastructure platform, including Kubernetes and Nomad workloads, AWS architecture, identity and secrets, stateful systems, observability, infrastructure as code, CI/CD, and developer tooling. Lead business-critical migrations with minimal downtime, establish reliable deployment and rollback practices, mentor engineers, participate in on-call, and build secure infrastructure supporting AI-assisted development.

Deploys and validates complete AI infrastructure software stacks on multi-node GPU systems, then converts implementations into technical documentation, automation, demos, training, and reference architectures. Tests prerelease software, evaluates interoperability and operational resilience, supports partners and field teams, collaborates with engineering and open-source communities, and recommends product improvements based on customer feedback. The role presents solutions through briefings, workshops, webinars, events, and internal training, with some travel required.

Own and scale Nango’s cloud platform, including compute, networking, databases, Kubernetes, IaC, and GitOps. Lead BYOC and private-cloud deployments, improve provisioning and observability, establish SLOs and incident processes, and manage Postgres, Redis, Elasticsearch, and ClickHouse at scale. Drive infrastructure security and compliance for SOC 2, GDPR, HIPAA, and enterprise reviews while shaping product strategy and supporting a remote-first engineering team.

The Infrastructure Engineer will build system-level software, focusing on distributed systems and OS level primitives while ensuring scalability and performance of services.

Provides global presales technical expertise for IT virtualization and infrastructure modernization solutions. Partners with account executives, engages customers, leads architecture discussions, presents solutions, advises on virtualization and migration strategies, develops service scopes, and supports pricing and delivery alignment. Requires deep virtualization architecture experience across VMware or related platforms, cloud, containers, security, AI, and infrastructure modernization.

Design, build, and operate shared cloud infrastructure across AWS, Kubernetes, Terraform, Databricks, and Cloudflare. Lead SRE and DevOps initiatives involving reliability, observability, CI/CD, incident response, disaster recovery, cost optimization, and developer self-service. Partner with application and data engineering teams to improve workload operations, deployment safety, and infrastructure scalability. Participate in on-call rotations and contribute to technical standards, architecture, documentation, and sustainable 24/7 operations.

Build and maintain scalable financial data infrastructure, including ingestion, validation, normalization, and integrations. Develop systems that calculate portfolio performance metrics efficiently across high-volume datasets, improve reliability and observability, and support distributed processing. Create internal tools, dashboards, reusable schemas, asset data feeds, and self-service analytics capabilities. Collaborate cross-functionally to expand market-data coverage, support B2B integrations, and strengthen operational resilience.

Design, deploy, and manage enterprise digital fax and telephony infrastructure (RightFax/XM Fax, SBCs, SIP Trunks, G.711/T.38). Administer Windows Server, IIS, Active Directory/Azure AD, Azure, and VMware. Ensure security, compliance, high availability, and performance. Lead projects, mentor engineers, troubleshoot complex issues, and produce operational documentation while participating in Agile processes.

Design, build, and operate foundational, multi-cloud platform systems. Own platform strategy, make build vs. buy decisions, write design docs and code, ensure reliability at scale, document decisions and run architectural forums, and improve operational maturity for enterprise-grade SaaS platform services.