Top Remote Linux Jobs in Houston, TX

Design, build, and operate core cloud-native infrastructure services for NVIDIA DGX Cloud. Develop scalable, secure microservices and automation for provisioning and lifecycle management, integrate internal and external platforms, and implement observability and security to ensure reliable, global production operations.

Operate and improve brokerage platform reliability: on-call incident response, define SLIs/SLOs, enhance observability, deploy infrastructure via GitOps, and own PostgreSQL performance, migrations, HA/DR, and mentoring.

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.

Lead design, development, and support of enterprise infrastructure and services. Drive architecture discussions, prototypes, capacity planning, and system launches. Troubleshoot performance, collaborate across teams and open-source communities, document solutions, and support on-call rotations to ensure reliable, scalable cloud and Linux-based systems.

The Senior/Principal Performance Engineer will lead system and application performance across products, optimize workloads, enhance CI/CD pipelines, and integrate AI tools while collaborating across teams to ensure top-tier performance outcomes.

Hands-on SRE supporting reliability, automation, observability, and incident response. Implement SLIs/SLOs, Infrastructure as Code, telemetry, dashboards, automation, participate in on-call and postmortems, and build AI-powered operational solutions while learning cloud and Kubernetes best practices.

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.

The Senior Solutions Architect leads the design and deployment of private wireless networks for mission-critical applications in industrial sectors. Responsibilities include technical leadership, field execution, troubleshooting, and customer engagement in pre-sales and post-sales contexts.

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.

Define and enforce governance and standards for multi-cloud platforms (AWS, Azure, GCP, OCI, Snowflake). Build platform features, implement infrastructure as code, support application teams, ensure reliability/security/cost-efficiency, automate deployments, and manage servers, storage, networking, backup and disaster recovery.

Provide technical implementation and field engineering to integrate telephony/audio and CAD systems with GovWorx cloud solutions. Install, configure, and troubleshoot VoIP/SIP/RTP connections, hardware ingest devices, and network issues; work with PSAP/ECC staff and vendors; participate in on-call rotation and occasional site visits (up to 20%).

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.

Design, implement, and manage AWS cloud infrastructure; develop automation scripts (Ruby on Rails, Node.js, PowerShell); collaborate on architecture; monitor and troubleshoot performance; ensure security and compliance; optimize cloud costs; work with Linux and SQL and support IoT integrations.

Develop, test, deploy, and maintain software by collaborating with cross-functional teams. Write clean code, create verification and QA plans, debug and upgrade existing systems, integrate RESTful APIs, use version control, and document functionality. Evaluate user feedback and support deployments.

Build and automate internal tools and services to operate Qdrant Cloud at scale. Develop platform components in Go and Python, improve Kubernetes automation, provisioning, reliability, scalability, and observability. Collaborate on architecture, participate in incident response, and reduce manual operational toil through automation.

Lead the migration of a Windows-based renderer to Linux/Vulkan, ensure cross-backend correctness and performance, build regression/comparison tests, establish profiling workflows, and contribute to advanced rendering features and GPU optimization while collaborating across build, infra, and simulation teams.

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, implement, and operate observability and reliability for cloud platforms. Measure and monitor production systems, reduce toil via automation, drive incident response and on-call practices, and partner with product and platform teams to improve scalability, resiliency, and observability.

The Principal Engineer will lead the technical ecosystem, ensuring hands-on execution in a high-growth environment, focusing on AI integration and full-stack development.

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.