Top Infrastructure Engineer Jobs in Austin, TX

Design, implement, and support hybrid IT/OT infrastructure across plants and corporate environments. Engineer networking, Windows server, virtualization, and Azure cloud services; maintain backup/DR, monitoring, and secure OT connectivity for SCADA/ICS systems. Partner with cybersecurity, produce documentation and runbooks, and develop architecture roadmaps to improve resilience, segmentation, and operational reliability. Travel to sites as needed.

Design, build, and operate Azure cloud infrastructure and landing zones; automate infrastructure with Terraform and CI/CD; support Kubernetes, serverless, monitoring, backup, DR, security/compliance, incident response; mentor junior engineers and drive reliability and automation improvements.

The engineer will build and operate AI/ML infrastructure, managing services on AWS and bare metal, using tools like Kubernetes and Terraform.

Seeking a senior or staff level infrastructure engineer to build and maintain scalable infrastructure for AI software development, including app hosting and SDK integration.

Deploy, operate, and debug AI systems inside client infrastructure. Own production readiness, networking, observability, cost controls, IaC (Terraform/Pulumi), CI/CD and stakeholder management with client IT/DevOps to ensure scalable, governable AI deployments.

The Infrastructure Engineer is responsible for building and maintaining deployment automation, CI/CD pipelines, and ensuring the operational health of production deployments across federal environments, focusing on automation and compliance.

The role involves designing and advancing infrastructure for the engineering team, ensuring the reliability of Kubernetes clusters, automating operations, and building machine learning infrastructure.

As a Database & Infrastructure Engineer, you will optimize PostgreSQL infrastructure, improve performance, build internal tools, and design data delivery pipelines for a large-scale application.

The Staff Cloud Infrastructure Engineer is responsible for designing, automating, and managing cloud infrastructure using AWS and tools like Terraform. This role involves collaborating with engineering teams, ensuring security, and mentoring others, all while building reliable and scalable systems.

Build and operate Abnormal AI's cell-based cloud infrastructure: bootstrap cells, provision multi-cloud (AWS/Azure) resources, deploy application stacks, automate lifecycle tooling, triage cross-layer incidents, reduce toil via automation, participate in on-call, and collaborate with product and application teams for scalable, secure, cost-efficient deployments.

Design, build, and maintain internal infrastructure and shared engineering services. Improve observability, CI/CD, and automation, operate cloud-managed services and VMs, participate in incident response, and collaborate with product and customer-facing teams to enable data-driven decisions and scalable systems.

The role involves building and managing cloud-native systems, participating in agile processes, conducting security and architecture reviews, and collaborating with global teams on projects.

Design, implement and operate a Kubernetes-based cloud-native platform, managing containerized applications' lifecycle, CI/CD pipelines, and infrastructure while ensuring reliability and security.

Implement and support DNS and Kubernetes architecture in a private cloud environment, ensuring scalability, resilience, and performance optimization through IaC tools, while collaborating with teams and managing incidents.

The Principal Infrastructure Engineer designs and evolves infrastructure for production services, focusing on high availability, reliability, and automation while leading technical solutions and cross-team collaboration.

The Senior Infrastructure Engineer will manage and scale LiveKit's core infrastructure, focusing on reliability and performance, while working on Golang code and automation for distributed systems.

The Infrastructure Engineer designs and maintains distributed systems, writes backend services in TypeScript, and operates cloud infrastructure, ensuring reliability and scalability.

Design, deploy, and operate scalable multi-cloud data and AI platform infrastructure. Build IaC, CI/CD pipelines, containerized workloads, self-service ML provisioning, observability, and secure production practices while driving architecture, standards, and mentoring.

As a Senior C++ Engineer, you'll design and implement simulation infrastructure, ensure accuracy and efficiency of runs, and collaborate with teams for integration and performance analysis.

Develop and maintain the software framework for autonomous vehicle autopilot systems, focusing on performance, safety, and reliability, while implementing automated testing processes.

Own deployment and operation of Nominal's self-hosted, air-gapped, and on-prem infrastructure. Troubleshoot Linux, networking, Kubernetes, and storage in production, work directly with customer IT and security teams, build provisioning automation, runbooks, and observability, and support critical onsite implementations while shaping strategy for regulated deployments.

Operate and scale GKE clusters, manage PostgreSQL/AlloyDB and Redis at scale, run GitOps CI/CD pipelines, develop Helm charts, implement OpenTelemetry observability, secure the platform with Cloudflare/Cloud Armor and secrets management, and build the GCP AI/ML infrastructure foundation to ensure 99.9%+ uptime and faster zero-downtime deployments.

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, optimize, and maintain large-scale build systems (Bazel), CI/CD pipelines, and release automation. Own developer infrastructure, observability, telemetry, logging, and metrics. Partner with product teams to remove developer friction and improve engineering productivity as the monorepo and organization scale.

Develop and maintain infrastructure platforms for AI services, build APIs, manage Kubernetes clusters, and automate workflows using CI/CD practices.