Top Remote Infrastructure Engineer Jobs in Austin, TX

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.

Leads the planning, design, and engineering of enterprise cloud infrastructure and platforms. Serves as a subject matter expert, managing complex projects, developing technical solutions, influencing infrastructure practices, and coordinating across departments. Coaches and delegates work to junior professionals while providing direction on strategy, processes, and complex technical issues. Requires broad expertise across software, hardware, data structures, communications technology, and cloud deployment models, with at least eight years of functional experience.

Designs cloud architecture and Infrastructure as Code, builds CI/CD and DevSecOps pipelines, and deploys systems to AWS and air-gapped environments. Monitors services using OpenTelemetry, Sentry, and SigNoz; manages secrets and configuration; enforces CMMC compliance; and supports bare-metal infrastructure, networking, identity providers, and Kubernetes platforms.

Develop and optimize distributed AI workloads across multi-GPU and multi-node NVIDIA platforms. Responsibilities include cluster bring-up, benchmarking, debugging, root-cause analysis, failure attribution, automation, acceptance testing, runtime tuning, and performance analysis for training and inference workloads. The role collaborates across framework, systems, and platform teams to improve reliability and scalability of large-scale AI infrastructure.

Build and operate low-latency, event-sourced trading infrastructure for Coinbase’s institutional exchange, including matching engines, order management, risk, market data, and funding systems. Own reliability, correctness, incident response, and failover for high-throughput 24/7 production systems. Drive technical designs, collaborate cross-functionally on milestones, and write highly tested performance-critical backend code in Java, C++, or Go.

Build and operate AWS GovCloud data infrastructure across development, preproduction, and production environments. Establish PostgreSQL platforms, infrastructure-as-code with Chef, BI infrastructure, identity integrations, monitoring, observability, CI/CD, and disaster recovery. Support data pipelines, troubleshoot incidents, optimize databases, and ensure FedRAMP and FISMA compliance. Collaborate with security, compliance, DevOps, and data engineering teams while delivering greenfield infrastructure from architecture through production.

Leads an infrastructure engineering team responsible for designing, building, maintaining, monitoring, and securing IT systems across cloud and data center environments. Sets goals, assigns work, manages staffing and 24/7 coverage, mentors engineers, coordinates projects, supports customers, manages budgets, and reports risks and performance to management. Requires strong infrastructure expertise, Agile experience, communication skills, and the ability to coach technical teams.

Designs and deploys network infrastructure for office openings, relocations, and refreshes. Configures firewalls, switches, wireless networks, VPNs, SD-WAN, routing, and related services. Coordinates with ISPs, contractors, and vendors; troubleshoots connectivity issues; creates technical documentation; and supports cutovers, validation, handoff, and ongoing operations. The role owns technical project tasks from planning through completion and requires occasional off-hours work and regular travel.

Design, build, and operate AI-powered automation, CI/CD systems, distributed services, developer tooling, and code-intelligence platforms. Own significant capabilities from architecture through production, improve engineering workflows using measurable evaluations, scale reliable automation and delivery systems, and operate secure multitenant services. Lead technical reviews, define reliability practices, integrate platforms through APIs and MCP, mentor engineers, and drive ambiguous technical problems to dependable production outcomes.

Design, build, operate, and scale secure, reliable, cost-efficient cloud infrastructure across AWS and Azure. Develop infrastructure as code, support Kubernetes and microservice environments, collaborate with engineering teams, participate in on-call and incident response, automate operational toil, reduce technical debt, and improve platform reliability using AI-assisted development tools.

Provides Tier 2 operational support for large-scale GPU compute and storage platforms. Responsibilities include troubleshooting Linux servers, GPU systems, storage services, Kubernetes and Slurm environments; managing incidents and tickets; provisioning and maintaining nodes; coordinating with NOC, SRE, data center technicians, vendors, and Tier 3 teams; supporting upgrades and cluster expansions; documenting issues; and automating recurring operational tasks with Bash or Python.

Designs, builds, and operates secure, scalable cloud infrastructure, deployment pipelines, and operational systems. Owns infrastructure architecture, provisioning, CI/CD, infrastructure-as-code, automation, observability, reliability, cost optimization, and incident response. Leads SRE practices, resolves complex production issues, supports distributed systems and microservices, and collaborates with Product and Engineering teams. Participates in on-call rotations and drives durable solutions that improve platform availability and performance.

Lead technical direction for a central infrastructure team supporting all product engineering. Design and maintain AWS infrastructure, Terraform modules, CI/CD workflows, observability, security, networking, cost-visibility tooling, and operational platforms. Coordinate multiple initiatives, improve reliability and incident response, establish paved roads adopted by feature teams, guide infrastructure strategy, and coach engineers across the organization.

Designs reference architectures for AI and data center networks, including BGP, EVPN/VXLAN, RoCEv2, and QoS. Builds and operates labs to qualify switches, NICs, and network operating systems; tests interoperability and performance; reproduces customer issues; and diagnoses routing, congestion, packet loss, MTU, and latency problems across GPU, fabric, and storage paths. Documents best practices, develops automation, collaborates with vendors and internal teams, and feeds findings into product development.

Develop and maintain infrastructure for rapid software prototyping and deployment across cloud, private cloud, and bare-metal environments. Manage servers and Kubernetes clusters, configure GPU systems for large language models, optimize performance, build monitoring and alerting, and advise on localized data-center deployments. The role also requires software engineering, Linux administration, security awareness, automation, and collaboration across international teams.

The Lead Infrastructure Engineer will define and build infrastructure at Atticus, managing platforms, security, reliability, and empowering engineering teams.

Build and operate internal infrastructure solutions for engineering teams. Responsibilities include resolving infrastructure requests, executing cloud workload and storage migrations, developing Terraform modules, Helm charts, CLIs, and automation in Go or Python, documenting runbooks, and creating observability dashboards for cost, capacity, and usage. The role requires production Kubernetes and public cloud experience, infrastructure-as-code and GitOps expertise, and cross-functional project delivery.

Designs and maintains cloud and application security controls across AWS and Azure. Leads IAM, network segmentation, PAM, workload protection, CI/CD, container security, incident response, threat modeling, code scanning, and penetration testing. Partners with engineering and product teams to improve security posture, secure development practices, compliance, and cyber resilience. Provides technical guidance, training, metrics, and hands-on architecture, code review, and validation support.