Top Linux Jobs in Houston, TX

Lead the backend team, setting technical direction for a scalable platform, designing distributed systems in Golang, and mentoring engineers.

As a Software Engineer in Reliability, you'll architect and manage multi-cloud GPU infrastructure, ensuring performance, security, and scale while debugging complex hardware/software issues.

Lead embedded Linux platform enablement for Nabu Casa hardware: maintain and improve Buildroot-based OS support, perform board bring-up, debug platform-level issues, optimise performance and reliability, upstream patches to open-source projects, maintain CI for builds, and document platform architecture and procedures while collaborating with hardware teams and open-source communities.

Lead and evolve secure, automated cloud platforms and CI/CD pipelines using IaC, containers, and Kubernetes. Integrate security tooling, mentor engineers, optimize cloud cost and reliability, and produce technical documentation while supporting Generative AI development workflows.

Own and maintain reliability, performance, scalability, and capacity of massive Ceph storage clusters. Troubleshoot distributed storage issues, build automation (Python/Shell, SaltStack, Ansible), define observability (SLIs/SLOs, PromQL/LogQL, Grafana), and lead lifecycle initiatives like upgrades, expansions, and migrations.

Design, build, and optimize edge data-collection agents for Windows, Linux, and Mac. Collaborate with product, UX, and engineering to deliver backend features, own development lifecycle, create automated tests, support SaaS products, and participate in 24x7 on-call rotations.

Build and lead development of a customer-facing metric store for high-volume telemetry. Design scalable backend services, data models, ingestion pipelines, and query execution paths. Optimize query performance, storage efficiency, and system reliability. Collaborate with Product, Design, and Operations from architecture through production, mentor junior engineers, participate in on-call rotation, and help define testing, deployment, and operational practices.

Lead and hands-on contribute to embedded Linux platform development: bootloader, kernel, device trees, root filesystem, build/update systems, board bring-up, debugging, releases, and cross-team coordination. Provide technical leadership, plan work, delegate, and grow into formal management.

Partner with customers to deploy collaborative robots: perform onsite hardware/software testing, troubleshoot and repair, conduct readiness assessments, document procedures, replace parts/retrofits, and drive project communication to ensure successful long-term adoption.

Design, build, and operate reliable backend systems while mentoring engineers, participating in design discussions, and improving system performance.

The Lead Systems HPC Engineer will optimize GPU clusters' performance, troubleshoot issues, integrate new hardware, and collaborate with teams on system-level software development.

Design and build systems for managing bare-metal infrastructure, focusing on automation, hardware provisioning, and software integration with Linux systems.

As an Applied R&D Engineer, you will develop backend application software in a Kubernetes environment, focusing on streaming APIs, system design, and code quality.

Design and implement high-performance, scalable storage systems and client libraries for AI workloads. Build data loading, checkpointing, caching, POSIX-style and object-store integrations, observability and telemetry, and validate performance with platform, SRE, and AI teams using modern engineering practices.

Provide senior-level escalation and troubleshooting for GPU/HPC infrastructure, diagnosing hardware, driver, and kernel issues. Perform root-cause analysis across clusters, build automations and docs, mentor peers, collaborate with engineering for permanent fixes, and participate in on-call rotation and high-volume deployments.

Provide senior-level technical escalation and support for GPU/HPC cloud infrastructure. Troubleshoot hardware, drivers, kernel, networking, and workload issues; perform root-cause analysis across clusters; build automations and documentation; mentor junior engineers; participate in on-call rotations and incident response; collaborate with engineering to implement permanent fixes.

Build and maintain developer platform tooling that ensures SIL-4 safety compliance: automation for certification evidence, CI/CD improvements, Bazel build maintenance, lightweight web dashboards, developer workflow automation, monitoring, and on-call support.

Lead and deliver secure, full-stack software for DoD customers through pair-programming, TDD, continuous delivery, and client-facing mentoring. Teach agile practices, build and test APIs, run software in Linux, use container and DevSecOps tooling, and champion AI-augmented workflows while ensuring week-over-week delivery and client success.

Lead architecture and execution of vNode runtime integration with containerd and the kubelet, define and test namespace-based isolation primitives, mentor engineers, run design reviews, operate internal tenant clusters, and represent the project in upstream communities and conferences.

As a Principal Software Engineer, you'll develop software systems for NVIDIA's rack-scale infrastructure, defining software architecture, collaborating across teams, mentoring engineers, and ensuring high-quality technical decisions in complex environments.

Design, provision, and operate AWS infrastructure for AI/HPC workloads across environments. Build and maintain IaC, CI/CD, observability, and scaling patterns. Troubleshoot networking, compute, storage, participate in incident response, document architecture and runbooks, and optimize cost and reliability.

Join Canonical's Kernel Team as a Junior Linux Kernel Engineer to work on Linux kernel development for Ubuntu, collaborating on projects ranging from security hardening to driver integration.

Own and architect Linux kernel-space enforcement for an identity security platform using eBPF and BPF LSM hooks. Build kernel and userspace enforcement boundary, optimize syscall hot paths, extend enforcement to containers and Kubernetes, ensure portability across kernel versions, collaborate on shared policy/backend, mentor engineers, and drive production-grade, low-latency security enforcement.

Design, implement, and manage secure, highly available RHEL servers and Azure-based cloud solutions. Automate deployments with scripting, support Docker/Kubernetes pipelines, document systems, and adapt to new Azure resources to enhance capabilities for developer groups and military customers.

Build, patch, and test userspace packages for Rocky Linux; improve packaging tooling and automation; remediate CVEs; develop automated tests; collaborate across engineering, product, open-source, and sales; support deployments on servers, VMs, and cloud.