Top Linux Jobs in Houston, TX

Build, maintain, and troubleshoot CI/CD pipelines and on-premises and AWS infrastructure. Automate provisioning with Terraform or Ansible, administer Linux systems, support Docker containers, configure monitoring and alerting, manage backups and secrets, investigate incidents, and collaborate with development, IT, and security teams.

Administer Windows and Linux systems across aerospace research laboratories supporting crewed spaceflight analysis. Manage wired and wireless lab networks, apply security updates, investigate system problems, monitor system health, and assist users with IT issues. The role also involves developing and following operational best practices, collaborating with other system administrators, and supporting configuration management, monitoring, logging, and NASA security processes.

Develop and maintain production test software, hardware, scripts, equipment, and procedures. Troubleshoot hardware and software issues, analyze test failures, improve production yields, support root-cause analysis, coordinate with customers and internal teams, execute testing improvement projects, and train technicians and testers in a fast-paced manufacturing environment.

Develop and maintain software and hardware testing resources for manufacturing production. Create test scripts and plans, troubleshoot production test issues, monitor failure trends, improve test yields, maintain test equipment, perform root-cause analysis, collaborate with customers and internal teams, lead testing improvement projects, and train technicians and testers.

Design, scale, and operate Runpod’s distributed storage platform across network volumes, local NVMe, and S3-compatible object storage. Tune storage and high-speed network performance, lead capacity expansions and migrations, write production automation and control-plane code, extend APIs, and build observability, dashboards, SLOs, and alerts. The role also participates in on-call operations, incident response, infrastructure-as-code practices, and long-term architecture decisions for petabyte-scale AI infrastructure.

Build and maintain scalable full-stack web applications using PHP, Laravel, React, Next.js, SQL, and related technologies. Own features from design through deployment and monitoring, develop APIs, optimize databases and legacy systems, troubleshoot performance issues, and contribute to code quality, security, and engineering practices. Collaborate cross-functionally in an agile, continuous-deployment environment while using AI-assisted tools responsibly.

Leads the architecture and development of Greyspace, a realistic simulated internet for cyber ranges. Designs distributed services, APIs, orchestration, networking behavior, isolation boundaries, and operator workflows. Builds and reviews production software, validates DNS, TLS, web, and mail services, and ensures reliability through testing, observability, performance validation, recovery procedures, and deployment readiness. Partners across Product, Security, infrastructure, and engineering teams while mentoring engineers and driving technical standards.

Design and implement PostgreSQL internals and indexing/query features for large-scale document workloads, extend query engine with BSON-aware operators and custom scan nodes, tune index pruning and storage, profile distributed systems for performance, collaborate with open-source DocumentDB/PostgreSQL communities, and participate in design/code reviews.

Lead test strategy for Akamai’s custom Linux kernel and OS imaging process. Design scalable automated test frameworks, validate hardware compatibility, performance, reliability, and security, and develop test suites for new hardware platforms. Troubleshoot low-level system issues, enhance build and continuous testing infrastructure, establish quality standards, and mentor junior engineers.

Own and scale the PostgreSQL and AWS Aurora database layer for a high-volume legal-services platform. Responsibilities include schema and migration review, query and index tuning, production issue diagnosis, lock and replication troubleshooting, database maintenance automation, backup and restore support, access control, and collaboration with infrastructure, software development, and data science teams. The role also supports reporting, billing, PII-sensitive data, and ERP-related data flows.

Own enterprise customer technical cases from triage through resolution, troubleshooting Kubernetes, ECS, Docker, cloud infrastructure, deployments, connectivity, and CI/CD issues. Perform root-cause analysis, lead customer calls, build diagnostic scripts and tooling, contribute small product fixes, and document reusable runbooks. The role also includes occasional customer build engagements and collaboration with Product and Engineering.

Deploy, upgrade, and maintain High-Speed Data infrastructure (DNS, DHCP, DOCSIS). Administer CentOS/RHEL systems, automate with Python/Ansible/Shell, troubleshoot escalations, create LLDs, run upgrades, train teams, perform on-call duties, and ensure security and high availability.

Own operations and reliability for hyperscale Azure GPU clusters and interconnect fabrics. Lead production incident triage, mitigation, recovery, root-cause analysis, and cross-stack debugging across hardware, PCIe, GPUs, firmware, drivers, and software. Develop automation, telemetry, diagnostic tools, operational playbooks, and escalation procedures to improve observability and reduce mitigation time. Partner with engineering teams and manufacturers to resolve systemic issues affecting AI training stability, GPU availability, and customer SLAs.

Lead architecture and hands-on implementation for Akamai’s cloud compute platform, including virtualization, hypervisors, operating systems, containers, and Kubernetes infrastructure. Own system design, build proof of concepts, guide engineering teams, influence product direction and roadmaps, establish best practices, and mentor engineers while delivering highly available, fault-tolerant distributed services.

Develop and test systems-level C++ software that defines and enforces endpoint behavior. Initially, the engineer will own testing infrastructure and coverage for two active projects, then contribute to feature development. The role requires strong C++ fundamentals, automated testing experience, and interest in operating-system concepts such as processes, file systems, services, and APIs. Work includes learning unfamiliar systems, collaborating effectively, and supporting reliable endpoint security and management capabilities.

Design and implement scalable backup software for endpoints, servers, and cloud applications. Develop Java and Kotlin services, optimize databases and queries, debug production systems, and resolve distributed-system performance issues. Contribute code, reviews, architecture discussions, documentation, and cross-team reliability initiatives. Mentor engineers and help deliver resilient products operating at large scale.

Designs and improves build and delivery infrastructure, including CI/CD pipelines, automation, Kubernetes platforms, and cloud-native tooling. Enables development teams, resolves delivery blockers, implements product features, contributes to platform architecture and roadmaps, and documents technical standards. The role operates in a regulated healthcare environment and requires balancing platform maintenance with project delivery, requirements gathering, estimation, and progress reporting.

Operates and supports customer cloud environments across Azure, AWS, GCP, and OCI. Responsibilities include monitoring, incident and request response, provisioning, access management, maintenance, troubleshooting, governance, documentation, customer communication, and ITSM execution. The role also uses scripting, automation, monitoring, and DevOps/SRE practices to improve operational consistency. Participation in after-hours and weekend on-call support is required.

Design, build, deploy, and operationalize Palantir Foundry solutions for defense and security customers. Develop data pipelines, ontology models, operator applications, integrations, and custom widgets using real-time intelligence. Debug infrastructure, networking, and application layers across cloud, hybrid, restricted, disconnected, and on-premises environments. Partner with customer stakeholders, advise technical teams, and own solutions end to end. Travel to secure customer sites and operations centers approximately 25–75% of the time.

Design and operate large-scale, AI-native cloud infrastructure (especially Kubernetes/AKS). Improve service quality, automate incident prevention/remediation, accelerate engineering productivity, and integrate AI tools into development workflows.

Build and maintain large-scale automation and control systems for Azure Kubernetes Service. Responsibilities include improving Kubernetes cluster performance and reliability, automating cluster lifecycle operations, developing safety and observability tools, supporting secure infrastructure changes, participating in production operations and on-call rotations, and mentoring engineers through design reviews and continuous improvement.

Build and maintain automated infrastructure and CI/CD pipelines using Terraform, Docker, Traefik, and Makefile. Implement observability (Prometheus, Grafana, Loki, Tempo, OpenTelemetry), backups (pgBackRest/Postgres15), and cloud/Linux administration. Automate deployment and monitoring for AI agent services and support monorepo workflow with SRE and DevSecOps teams.

Support enterprise customers and partners integrating applications with Wasabi Cloud. Diagnose, research, reproduce, and report defects; test storage services with third-party applications; validate interoperability using APIs and SDKs; investigate S3 protocol behavior; and collaborate with sales, development, QA, product, and support teams.

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.

Leads high-fidelity CFD analysis for missiles, interceptors, munitions, and other high-speed vehicles. Establishes CFD standards, develops meshes and automated HPC workflows, validates simulations against wind tunnel and flight-test data, and integrates aerodynamic databases into vehicle design, GNC, trajectory, and mission models. Mentors engineers, presents findings at design reviews, supports resource planning, and provides technical leadership across complete vehicle programs.