Top Senior Linux Jobs in Houston, TX

Own the end-to-end storage architecture for a distributed AI supercomputer, including object storage, high-throughput pod tiers, NVMe caching, replication, and model distribution. Build and benchmark systems, optimize data movement from storage to GPU memory, establish reliability and security practices, and automate pod bring-up and operations. Partner with inference, platform, hardware, vendors, and site teams while supporting capacity planning, monitoring, recovery, data residency, and storage on-call.

Design and operate large-scale GPU infrastructure for distributed AI training, ensuring reliability, performance, and efficient customer partnerships.

Leads technical vision and roadmap for Freenome’s cloud platform, designs and operates scalable Kubernetes-based systems, and drives cross-team initiatives. The role troubleshoots complex platform issues, improves reliability and cloud-cost efficiency, supports AI adoption, and builds secure infrastructure for AI and data workflows. It also mentors engineers, partners with scientific and technical teams, and remains hands-on with architecture, coding, design reviews, and operations.

Designs, automates, secures, and supports AWS infrastructure, ECS services, and Jenkins CI/CD pipelines for a mission-critical VA application. Manages infrastructure as code, Docker and ECR workflows, multi-environment releases, system hardening, vulnerability scanning, troubleshooting, disaster recovery, and federal security compliance. Collaborates with development, QA, security, operations, and VA stakeholders to deliver reliable, compliant deployments.

Administer Windows servers, Azure Government Cloud environments, Active Directory, Group Policy, DNS, firewalls, backups, disaster recovery, vulnerability scanning, patching, and compliance controls. Create system documentation, automate administrative and audit functions, support containerization and SDLC initiatives, analyze infrastructure improvements, and provide Tier 3 technical support. The role requires adherence to DoD STIG, NIST, and regulatory standards while serving as a system administration subject matter expert.

Provides remote and on-site IT infrastructure support for global programs and projects. Evaluates requirements, recommends technical solutions, maintains servers and networks, provisions Azure environments, deploys connectivity systems, installs cabling, troubleshoots issues, supports security assessments, and documents processes. The role requires collaboration with technical teams and stakeholders, worldwide travel, cloud and network expertise, relevant certifications, U.S. citizenship, and eligibility for a DoD Secret clearance.

Leads administration and optimization of multi-location servers, applications, networks, and cloud or hybrid environments. Installs, configures, upgrades, monitors, secures, and troubleshoots systems; performs vulnerability management, patching, hardening, backup and disaster recovery activities. Uses automation, scripting, virtualization, containers, and performance tools to improve reliability. Directs other system administrators, provides user and administrator training, resolves connectivity issues, and recommends technology improvements. A Secret clearance and extensive systems administration experience are required.

Develop and operate software for Azure’s hyperscale networking infrastructure and SONiC switch and router platforms. Responsibilities include designing, coding, optimizing, debugging, and maintaining network software; supporting packet forwarding, telemetry, observability, reliability, and performance; creating design and release plans; responding to incidents; and mentoring engineers. The role requires expertise in software engineering, IP networking, distributed systems, Linux, SDN technologies, and container-based environments.

Own the architecture, implementation, and operational excellence of major Azure Boost DPU software components. Develop low-level systems software spanning operating systems, virtualization, networking, storage, device management, and hardware interfaces. Lead complex cross-functional initiatives, optimize hyperscale performance and reliability, resolve system-level issues, establish engineering practices, influence platform architecture, and mentor engineers across Azure infrastructure teams.

Lead development of AI infrastructure for large-scale GPU training and inference. Design workload scheduling, serving, orchestration, resource governance, failover, and multitenant Kubernetes platforms. Build reliable C# and Go services, optimize GPU fleet performance, and drive observability, diagnostics, and production operations. Provide technical leadership, architectural direction, mentoring, and cross-team collaboration across cloud infrastructure, hardware, networking, and AI deployment teams.

Leads a DevOps engineering team responsible for designing, operating, and scaling globally distributed DNS infrastructure. Oversees infrastructure automation, reliability engineering, observability, security, compliance, incident management, and multi-region deployments across cloud, bare-metal, and hybrid environments. Establishes SLOs, improves operational efficiency, supports DDoS resilience and DNS security, and partners with engineering, product, security, and executive stakeholders on infrastructure strategy and business growth.

Develop and maintain runtime products by researching legacy codebases, backporting CVE security patches, building packages across Linux distributions and architectures, and creating automated testing and AI-assisted security workflows. The role requires deep C/C++ systems expertise, build-toolchain archaeology, cross-compilation experience, and strong ownership of correctness. It also includes customer support for compatibility and upgrade issues.

Administers and supports enterprise IBM MQ environments, including queue managers, channels, clustering, distributed queuing, security, monitoring, upgrades, troubleshooting, and performance optimization. Supports RHEL and AIX systems, develops shell scripts, manages certificates and access controls, performs incident response and root cause analysis, maintains technical documentation, and participates in production support and on-call activities.

Administer and support enterprise IBM MQ environments, including queue managers, channels, clustering, distributed queuing, security, monitoring, troubleshooting, upgrades, and performance optimization. Support RHEL, AIX, and Unix/Linux systems; develop shell scripts; manage incidents, root cause analysis, capacity planning, documentation, and production on-call activities. Collaborate with application, infrastructure, and operations teams in a high-availability banking environment.

Build, maintain, and optimize CI/CD pipelines, cloud infrastructure, and automated deployment workflows across AWS and Azure. Manage Docker and Kubernetes environments, implement GitOps with ArgoCD, automate provisioning with Ansible and AWX, administer Linux and Windows systems, and support release engineering. Develop scripts, monitor system health, apply security policies, troubleshoot production issues, and collaborate with development, QA, and operations teams to deliver reliable software releases.

Leads a site reliability engineering team and owns the reliability, observability, automation, and AI-enabled operations roadmap. Establishes SLOs, SLIs, error budgets, and reliability metrics while advancing self-healing systems, AIOps, CI/CD, chaos engineering, incident response, capacity planning, and ITSM/ITOM integrations. Develops engineers, manages vendors, partners with security and governance teams, and drives adoption of engineering-led reliability practices across technology organizations.

Leads and performs development, configuration, testing, release support, and production support for NICE Actimize AML platforms. Responsibilities include scenario and rule tuning, alert and case workflow management, troubleshooting in Linux and Oracle environments, migration support, SDLC compliance, stakeholder coordination, and team leadership. The role requires strong AML transaction-monitoring expertise, hands-on Actimize experience, and knowledge of banking systems, databases, scripting, and regulatory controls.

Develop and operate Akamai’s cloud platform infrastructure, automation, observability tooling, and distributed systems. Investigate performance bottlenecks across physical, virtualized, and containerized Linux environments; improve kernel and hardware compatibility; automate infrastructure with configuration-management tools; and troubleshoot complex issues with support, operations, and engineering teams.

Architect, develop, test, and distribute software, services, and infrastructure supporting Akamai’s cloud hypervisor platforms. Enhance observability, automate operational processes, troubleshoot complex distributed-system issues, mentor engineers, and participate in on-call service restoration. The role focuses on Linux internals, hardware enablement, KVM/QEMU virtualization, operating systems, nested virtualization, and large-scale infrastructure deployment.

Architect, develop, test, and distribute software, services, and infrastructure supporting Akamai’s cloud hypervisor platforms. Improve observability, automate infrastructure processes, troubleshoot complex distributed-system issues, mentor engineers, and participate in on-call service restoration. The role requires deep Linux, kernel, virtualization, ARM hardware, large-scale infrastructure, DevOps, and configuration-management expertise.

Administers and engineers UNIX and Linux operating environments, including AIX, HP-UX, and Solaris. Responsibilities include installation, upgrades, patching, tuning, security audits, STIG compliance, backups, disaster recovery, data replication, clustering, virtualization, load balancing, storage management, and data migrations. The role designs high-availability and redundant systems, troubleshoots infrastructure, supports multiple environments, and develops operating-system strategies and recovery procedures for the Defense Logistics Agency.

Develop and lead production software-defined networking for NVIDIA’s global GPU cloud infrastructure. Design multi-tenant control and data planes using Open vSwitch, OVN, OpenFlow, Kubernetes, C, and Go. Build networking services, plugins, automation, testing, observability, and reliability improvements. Lead architecture and code reviews, mentor engineers, support on-call operations, and resolve complex production incidents through diagnostics and source-level debugging.

Serve as the senior technical contact for OEM Federal deployments of NVIDIA GPU-accelerated platforms. Own customer issues end to end, including troubleshooting, failure analysis, RMA procedures, root-cause investigation, and coordination with OEM support and NVIDIA engineering. Support secure Federal environments such as FedRAMP, IL5/IL6, and air-gapped SCIF facilities while maintaining sanitization and chain-of-custody requirements. Analyze multi-GPU systems, firmware, operating systems, networking, storage, and distributed workloads, with up to 35% travel.

Build and operate software automation for large-scale NVIDIA GPU infrastructure. Responsibilities include bare-metal provisioning, hardware validation, firmware upgrades, repair workflows, cluster lifecycle management, BMC and Redfish tooling, and NVIDIA NVL72 and BlueField DPU operations. Diagnose failures across hardware, Linux, networking, and Kubernetes; support incident response, on-call operations, observability, root-cause analysis, and permanent remediation across cloud and on-premises environments.

Leads engineering enablement for large-scale AI/HPC clusters, managing a support team, training and documentation, request intake and prioritization, specialist debugging coordination, and user community development. Partners across architecture, software, firmware, networking, storage, datacenter operations, performance, and program teams. Uses service metrics and user feedback to improve workflows, self-service guidance, resource allocation, and support quality.