Top Infrastructure Engineer Jobs in Austin, TX

Designs, deploys, migrates, secures, and operates production Azure infrastructure across hybrid VMware and Windows environments. Responsibilities include Azure networking, platform services, disaster recovery, migrations, Terraform automation, Azure DevOps pipelines, identity and governance, monitoring, cost management, troubleshooting, and compliance. The engineer supports application platforms including AKS, App Services, databases, and integrations while participating in incident response, change management, on-call duties, and occasional after-hours cutovers.

Build, automate, and operate scalable AWS infrastructure, including networking, compute, CI/CD, databases, and observability. Develop internal tools and self-service platforms, manage infrastructure with Terraform, collaborate with engineering teams, participate in on-call rotations, and replace repetitive operational work with software and permanent incident fixes.

Owns production infrastructure across Kubernetes, CI/CD, Linux systems, virtual machines, and AI accelerator environments. Responsibilities include incident response, troubleshooting, automation, monitoring, alerting, patching, upgrades, certificate renewals, capacity checks, runbook development, and on-call support. The engineer collaborates across IT and product software teams and contributes to infrastructure design and build work.

Designs, deploys, and manages secure, scalable GCP infrastructure using Terraform. Builds CI/CD pipelines, automates infrastructure and application delivery, optimizes cloud performance and costs, and maintains reliability through monitoring and incident management. The role requires deep GCP and Terraform expertise, familiarity with CI/CD tools, and knowledge of containers, Kubernetes, zero-trust security, IAM governance, and cloud compliance.

Build services, APIs, and pipelines for an infrastructure design model; ship generative automation for layouts, routings, and configs; integrate CAD/BIM/PLM toolchains; manage model data at scale including versioning, validation, and queryability; work closely with engineering users and vendor APIs.

Designs, engineers, and supports secure, scalable Microsoft Azure infrastructure. Leads cloud network, identity, data protection, security, and modernization decisions while using Infrastructure-as-Code and cloud governance practices. Partners with engineering and security teams to deliver reliable, resilient, and cost-efficient environments. Responsibilities include IAM and RBAC, troubleshooting, root cause analysis, documentation, architecture diagramming, and evaluating emerging AI platforms and integrations.

Designs, secures, operates, and scales AWS infrastructure and container platforms. Administers Linux, Windows Server, Nutanix, Rancher, ECS Anywhere, SMTP relays, and SSL/TLS certificates. Builds infrastructure as code and automation using CloudFormation, Python, PowerShell, Bash, and AWS Systems Manager. Maintains monitoring, alerting, reliability, and compliance support for HITRUST and SOC 2. Participates in on-call support and works independently across cloud engineering, systems administration, and business priorities.

Leads software engineering initiatives for database and caching infrastructure. Coordinates engineers, defines technical tasks, leads architecture discussions, drives integrations and migrations, and improves engineering standards, automation, observability, and system reliability. Designs scalable RESTful services and high-throughput, low-latency systems using backend languages, databases, caching, messaging, cloud platforms, containers, and Kubernetes. Mentors engineers, manages technical debt, and leads production incident root-cause analysis.

Design, build, and maintain cloud-hosted SaaS platforms and deployment artifacts. Own Helm charts, containers, IaC, CI/CD pipelines, and serverless components. Ensure scalable, secure Kubernetes/OpenShift deployments, monitor performance, troubleshoot production issues, and collaborate with platform, security, and infrastructure teams.

Provides technical authority for Venmo’s cloud data platform infrastructure and performance engineering. Defines architecture and technology roadmaps for databases, data pipelines, messaging, caching, and high-scale payment systems. Leads performance, scalability, reliability, DevOps, and AI-first engineering initiatives while remaining hands-on. Influences executives and engineering teams, mentors senior technical talent, evaluates build-versus-buy decisions, and drives improvements across large-scale distributed systems.

Build and operate resilient cloud infrastructure for Venmo’s Business Continuity team. Responsibilities include chaos engineering, disaster recovery automation, backup and restore tooling, incident game days, infrastructure-as-code, incident troubleshooting, resilience metrics, SLOs, and recovery objectives. The role mentors engineers, coordinates technical initiatives, and supports globally scaled AWS services across the full software development lifecycle.

Owns the design, administration, security, modernization, and recovery of Liquidia’s hybrid IT infrastructure across Azure, servers, virtualization, storage, and enterprise networks. Provides hands-on engineering, roadmap development, disaster recovery, patching, automation, vendor direction, documentation, and onsite support for manufacturing and laboratory systems. Ensures infrastructure complies with SOX, GxP, and 21 CFR Part 11 requirements while coordinating qualification, validation, change control, and infrastructure improvement initiatives.

Automates, hardens, deploys, and upgrades Windows Server infrastructure in AWS GovCloud. Builds hardened AMIs, provisions EC2 instances, automates patching and compliance, manages phased upgrades and rollback, integrates infrastructure automation with CI/CD, and documents configurations and runbooks. Requires strong PowerShell, Windows administration, AWS, infrastructure-as-code, and DevSecOps experience, plus eligibility for Public Trust clearance.

Designs and maintains software and laboratory support systems for automated biology and chemistry experiments. Responsibilities include improving laboratory operations, managing inventory and assets, updating Emerald’s software library, troubleshooting experiments and instrumentation, conducting data analysis, and developing automation solutions. Requires a Chemistry or Biology Ph.D., two years of relevant experience, Mathematica coding skills, experimental design expertise, and willingness to learn programming and robotic automation.

Build and operate infrastructure and shared engineering services for internal teams and Tailscale’s product. Responsibilities include improving observability, CI/CD, cloud infrastructure, managed services, Kubernetes, and service automation; designing, testing, and documenting software components; participating in incident response; supporting customer escalations; and improving system efficiency, scalability, and stability.

Build and maintain cloud-based development, build, testing, deployment, and production infrastructure. Own platform systems using Terraform, Kubernetes, Vault, AWS, Docker, and CI/CD tools. Collaborate with engineers on a you-build-it-you-run-it platform, troubleshoot incidents, lead postmortems, address root causes, and automate improvements to enhance reliability, performance, and stability.

Own Headway’s cloud platform and infrastructure engineering strategy. Lead deployment isolation, container orchestration, AWS networking and compute, autoscaling, capacity planning, Terraform self-service infrastructure, cloud cost attribution, and Python runtime performance. Build reliable paved-road tooling that enables engineering teams to deploy safely and independently while improving scalability, observability, and operational resilience.

Build and operate secure, scalable AWS and Kubernetes infrastructure using Terraform and GitOps. Administer and optimize Snowflake production environments, improve query performance, manage cloud and data-platform costs, and strengthen FinOps practices. Maintain CI/CD pipelines, observability, IAM, RBAC, networking, and secrets management while aligning with HIPAA and SOC 2 requirements. Participate in on-call rotation and collaborate with engineering, data, and security teams. Use AI-assisted engineering tools safely for infrastructure, scripting, documentation, and analysis.

Deploy and operate cloud-native AI infrastructure across AWS, GCP, and Azure, including Kubernetes, networking, identity, security, multi-region, and data residency configurations. Build infrastructure as code, CI/CD, GitOps, observability, and alerting while supporting research, ML, and GPU platforms. Partner with clients and internal engineering and science teams on enterprise deployments, compliance, reliability, cost, and production hardening.

Owns enterprise VDI platforms across Citrix, Azure Virtual Desktop, and Omnissa Horizon. Responsibilities include image and catalog lifecycle management, profile and session troubleshooting, access-layer administration, incident leadership, capacity planning, automation, root cause analysis, change management, project delivery, client communication, and mentoring. The role requires deep expertise in at least one VDI platform, Windows administration, underlying compute and networking, scripting, APIs, and multi-client managed services experience.

Operates and maintains enterprise virtualization platforms across multiple client environments. Responsibilities include VMware Cloud Foundation, NSX, ESXi, vCenter, vSAN, capacity planning, performance troubleshooting, lifecycle management, incident leadership, automation, migrations, root cause analysis, change management, documentation, and client communication. The role also supports KVM and Hyper-V environments, leads virtualization projects, and mentors junior engineers.

Build and operate scalable cloud, data, and AI infrastructure across AWS, GCP, and Azure. Develop Infrastructure as Code, CI/CD pipelines, self-service platforms, and secure containerized environments. Establish observability, monitoring, alerting, governance, compliance, and operational support practices. Drive platform architecture and technical standards, collaborate across teams, evaluate new technologies, document solutions, and mentor engineers. The role is fully remote with up to 10% travel.

Design and build software for global network infrastructure, including automation, orchestration, provisioning, lifecycle management, telemetry, validation, remediation, and DPU/SmartNIC integration. Lead architecture for scalable, reliable infrastructure systems, write RFCs and technical proposals, guide cross-functional initiatives, establish engineering standards, mentor engineers, and provide technical direction for emerging programmable and hardware-accelerated networking technologies.

Lead customer deployments of Kubernetes and vCluster on bare-metal GPU infrastructure, configuring GPU nodes, networking, storage, RDMA, and InfiniBand. Validate production-ready managed Kubernetes environments, troubleshoot complex infrastructure, transfer operational knowledge, document reusable deployment playbooks, and provide feedback to Engineering and Product. Support pre-sales proof-of-value engagements and help AI cloud and factory customers independently operate and scale their platforms.

Build and maintain scalable AWS infrastructure, observability platforms, Kubernetes workloads, Infrastructure as Code, and CI/CD pipelines. Develop automation tools and AI-assisted workflows, establish secure logging, metrics, and tracing standards, optimize cloud environments, and collaborate with security and engineering teams. The role also includes troubleshooting, documentation, code reviews, operational playbooks, and knowledge sharing.