Top Remote Infrastructure Engineer Jobs in Austin, TX

Own and evolve Quansight's multi-cloud infrastructure, lead client infrastructure engagements end-to-end, build observability and CI/CD systems, mentor teammates, and dedicate substantial time to contributing and maintaining open-source infrastructure projects.

Design, implement, and operate scalable AWS and Kubernetes infrastructure using Terraform and automation. Improve CI/CD, observability, security posture, and developer experience; troubleshoot production incidents, maintain runbooks, and support customer-managed deployments.

Technical lead for Redfin's production database and storage systems: define strategy, architect and implement cloud database/storage (self-managed and AWS managed), ensure reliability, observability, scalability, security, participate in DR planning and on-call rotation, lead incident resolution and root cause analysis, mentor engineers, and evangelize AI code-generation and infrastructure-as-code best practices.

Design, build, and operate scalable batch and streaming data pipelines and a lakehouse on AWS. Implement ETL/ELT, CDC, metadata/cataloging, lineage, governance, data quality, IaC, and CI/CD for reliable, observable, and secure data platforms to support analytics and ML.

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.

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.

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.

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

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.

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.

Design and implement a virtual access layer to enable remote use of a physical AI lab, building scalable, secure infrastructure to process 100,000+ documents/day with LLMs, optimize GPU/LLM throughput, provide customizable interfaces, implement authentication/access controls, and lead projects from design to production.

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

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.

Lead product vision and multi-year strategy for developer infrastructure across the code lifecycle. Own roadmap for CI/CD, release automation, testing, deployments, and production readiness; drive migrations to simplify systems, measure quality with scorecards, partner with Engineering/SRE/Security, and integrate emerging (AI) capabilities to improve developer velocity and reliability.

Drive enterprise patching and vulnerability management for Windows, RHEL, VMware, and cloud systems. Coordinate remediation with Security and application teams, automate patch orchestration and validation, provide tier-2/3 OS support, maintain runbooks and compliance reporting, and improve patch cycle times and remediation metrics through tooling and process improvements.

Engineer and operate Windows and RHEL infrastructure while driving enterprise patching and vulnerability remediation. Automate deployments and validation, coordinate maintenance windows, support tier-2/3 OS issues, produce compliance reporting, and collaborate with InfoSec and application owners to reduce high-risk exposure and improve patch lifecycle processes.

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.

Design, deploy, and manage scalable, secure cloud infrastructure. Implement networking, VMs, IaC, and configuration management. Integrate Azure infrastructure into CI/CD pipelines, automate provisioning with DevOps/GitHub Actions, and enforce security/compliance with security teams. Provide Windows Server administration and support enterprise cloud initiatives.

Design, deploy, and maintain cloud and edge security across AWS/GCP/Azure including Cloudflare WAF and SASE. Implement zero-trust access, CSPM, IaC security, threat modeling, incident runbooks, detection tuning, and mentor junior engineers while participating in on-call rotation.

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

Lead delivery for the Batch Infrastructure team: design, build, and operate reliable, scalable compute platforms for scheduled and on-demand batch workloads. Collaborate with product/design/analytics, define technical plans, ensure availability (monitoring/on-call), set code and design standards, and mentor engineers to improve delivery and quality.

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.

The Senior Software Engineer will lead and support a team in developing reliable and scalable backend systems, collaborating on product development, and improving infrastructure for secure communication between services.