Top Linux Jobs in Houston, TX

As a Software Engineer, you will resolve complex customer issues related to Ubuntu and open source software, participate in upstream communities, and develop and review code across multiple layers of the software stack.

Canonical is seeking exceptional software engineers for the Linux kernel team, involving collaboration on Ubuntu's kernel development across various hardware. Responsibilities include diagnosing kernel issues, improving automation, and participating in global tech events twice a year.

Lead and manage the development of the Landscape systems management solution for Ubuntu, guiding a team of engineers and setting strategic goals.

Design, build, and extend Calendly's infrastructure platform; develop cloud-native tools and APIs (primarily in Go) using Kubernetes patterns; guide application development, mentor teams, ensure reliability and observability, and participate in on-call rotation.

Lead platforms engineering for scalable cloud infrastructure: design and implement Kubernetes-based systems, optimize data pipelines with AI, refactor stateful services to be stateless, improve autoscaling and reliability, own data ingestion/export, build internal developer tools, enforce security and testing standards, mentor engineers, and participate in on-call rotations.

Operate and lead data-center LAN infrastructure in a 24/7 SaaS environment. Own troubleshooting, incident response, and change management across Cisco Nexus, Palo Alto, and F5 platforms. Drive projects, architecture (VXLAN/EVPN), automation (Ansible, Terraform, Python), observability (Prometheus, Grafana, SolarWinds), and cloud networking (AWS, GCP). Mentor junior engineers, participate in on-call rotation, and define operational standards, reliability metrics (SLI/SLO), and preventive engineering.

The Backend Engineer will improve reliability and scalability of services, develop new services, and analyze operational efficiencies while collaborating closely with the engineering team.

Design, build, and operate scalable, secure cloud infrastructure and CI/CD pipelines. Manage Kubernetes environments, implement IaC (Terraform), improve observability, troubleshoot production issues, support security/compliance, and mentor junior engineers to optimize platform reliability and cost.

As a Forward Deployed Engineer, you will work onsite with customers, integrating technical solutions and prototyping tools to meet operational needs.

Research Engineers will build QA systems for training data, define quality standards, audit datasets, and collaborate with data vendors to enhance data generation processes.

Lead design and delivery of the public-facing API platform and ingestion services. Build scalable, reliable real-time distributed systems, collaborate with product and data teams, review designs and code, address technical debt, take operational ownership using observability tools, and mentor engineers.

Administer, monitor, troubleshoot, and optimize Linux workloads and Azure PaaS/IaaS services. Support connectivity, identity, observability, CI/CD, security patterns, and migrations from VM-hosted workloads to managed Azure services while collaborating with application and DevOps teams.

Lead reliability and performance efforts for distributed metadata systems: tune and optimize systems, develop monitoring and automation, manage rollouts, troubleshoot incidents, run simulations and analytics, and support database/configuration management to improve global network stability and capacity.

Lead Azure platform projects, manage teams, troubleshoot cloud services, ensure security management, and support clients in a 24x7 environment.

Lead performance practices for large-scale AI systems, enhance datacenter products, and resolve complex performance issues through collaboration and technical expertise.

Design, build, and maintain cloud infrastructure and deployment systems. Create CI/CD pipelines, manage Docker container environments, implement monitoring and alerting, optimize cost and performance, and support blockchain node reliability.

The Principal Software Engineer at Snout will define architectural direction, build features across the stack, and enhance team effectiveness, ensuring quality and performance.

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.

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.

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 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.