Top Remote Infrastructure Engineer Jobs in Austin, TX

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.

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.

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 operate large-scale LLM infrastructure and data platforms for training, fine-tuning, and inference. Provision GPU clusters, optimize GPU utilization, implement model lifecycle management, deploy inference frameworks, create evaluation and observability systems, and collaborate with data scientists to productionize AI capabilities. Mentor engineers and enforce MLOps/DataOps best practices.

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.

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.

Designs, builds, and operates cloud-based CI/CD platforms and pipelines for embedded software production and virtualized testing. Responsibilities include automating builds, integration, testing, provisioning, monitoring, and deployment; integrating physical and virtual test environments; improving platform reliability and scalability; troubleshooting infrastructure; and guiding teams on cloud, CI/CD, virtualization, and cybersecurity best practices.

Lead design and development of scalable, high-performance ML training infrastructure. Drive distributed training performance optimization, observability, and developer experience. Own cross-functional infrastructure initiatives, set technical direction and standards, and mentor engineers to deliver platform capabilities that support large-scale model training.

Manage and scale on-prem infrastructure, automate workflows, ensure system reliability, and collaborate on CI/CD pipelines in a hybrid role.

The Senior Infrastructure Engineer will design, build, and operate crucial cloud infrastructure and developer tools, focusing on observability, reliability, and performance in a high-velocity software environment.

Own technical and strategic partner relationships for infrastructure platforms (silicon, cloud, edge, confidential computing). Lead onboarding, POCs, demos, deployment guidance, troubleshooting, and joint go-to-market to drive adoption and expansion of Deepgram’s voice AI on partner hardware and platforms.

Build and operate reliable, scalable cloud infrastructure supporting Webflow products. Lead initiatives that improve reliability, reduce incident and triage load, and optimize cost and performance across multi-region environments. Develop infrastructure automation, modernize services, improve on-call and incident response, collaborate with product engineering teams, participate in design reviews, and mentor junior engineers. The role requires expertise in cloud platforms, containers, infrastructure as code, Cloudflare tooling, distributed systems, and software development.

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.

Lead design, implementation, and security of AWS cloud infrastructure and CI/CD automation. Drive cost optimization, observability, and IaC standards (Terraform/CDK). Mentor engineers, participate in on-call rotations, and collaborate with product and science teams to build scalable, reliable cloud-native systems.

The Staff Infrastructure Engineer will design and implement a scalable virtualization platform for high-performance AI workloads, manage VM lifecycles, optimize virtualization for performance, troubleshoot systems, and contribute to long-term architecture.

Run and improve Buffer's production platform: keep EKS, ArgoCD, and AWS reliable; implement progressive delivery (Argo Rollouts); build developer-facing tools and per-PR environments; reduce toil with AI automation; manage observability and cloud cost; drive lifecycle upgrades and security; partner with engineering teams and participate in on-call rotations.

The role involves benchmarking infrastructure performance, designing tests, debugging customer trials, and maintaining benchmarking infrastructure while ensuring clear documentation and communication.

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.

As an Infrastructure Engineer at Railway, you will develop system-level software, focusing on distributed systems and efficiency, building scalable services using Golang or Rust, while ensuring high performance and resilience.