Top Remote Linux Jobs in Houston, TX

Operate at Staff-level to diagnose and resolve complex customer issues, contribute production-quality code to GitLab, drive AI adoption (Duo Agent Platform), and translate field learnings into durable product improvements, guidance, and thought leadership while coordinating cross-functional teams.

Own the technical success of strategic customer deployments from design through production. Collaborate with customer architects, operators, and developers to optimize infrastructure, debug distributed systems and storage issues, build automation and API solutions, and translate operational needs into product improvements. Serve as the customer advocate within engineering while managing high-stakes technical challenges and deployment expectations. Travel or work onsite at customer locations up to 25%.

Build and maintain reliable, scalable cloud compute platforms across distributed services. Troubleshoot Linux, networking, and production issues; develop automation and AI-assisted tooling; improve monitoring, alerting, SLIs, and SLOs; conduct incident response and root cause analysis; and partner with engineering teams on system design, deployment safety, and operational readiness.

Designs and executes automated, API, UI, regression, smoke, and end-to-end tests for cloud-native and air-gapped federal environments. Integrates test suites with GitLab CI and Jenkins, validates security and compliance baselines, diagnoses Linux and Windows systems, and documents test plans, defects, and results. The role supports reliable deployment of cyber-physical security solutions across government and critical infrastructure environments.

Owns the cloud architecture vision and roadmap for an AWS-first, multi-cloud SaaS environment. Designs secure, resilient, scalable, and cost-efficient infrastructure; leads cloud modernization; enables AI and data platforms; establishes Terraform, CI/CD, observability, security, governance, and reliability standards; and partners with engineering, security, operations, customers, auditors, and leadership. Coordinates major incident response and drives self-service infrastructure and developer experience improvements.

Lead a product engineering team to own roadmaps, design scalable cloud-native systems, ship customer-facing features, ensure quality and reliability, hire and mentor engineers, and coordinate cross-functional delivery.

Own and operate large-scale infrastructure for sports betting and media platforms across cloud and production environments. Lead infrastructure migrations, build Kubernetes platform tooling and CI/CD automation, improve observability and alerting, support development teams, and participate in incident response. The role requires strong distributed-systems expertise, production troubleshooting, cross-team project leadership, technical communication, and mentoring.

Performs functional, system, regression, integration, and specialized Section 508 accessibility testing for USDA digital products. Tests web, mobile, documents, APIs, and integrated systems using WCAG, DHS Trusted Tester, automated tools, and assistive technologies. Develops test plans and traceability, documents defects and remediation guidance, provides compliance sign-off, reviews designs, supports shift-left accessibility, collaborates on CI/CD scanning, and mentors junior QA analysts.

Build, maintain, and operate Ookla’s globally distributed infrastructure platform at massive scale. Responsibilities include managing cloud instances, containers, serverless applications, databases, streaming systems, and big-data tooling; supporting 24/7 production operations and on-call rotations; implementing security programs; improving deployment pipelines, monitoring, observability, and reliability; and guiding software and data engineering teams on operational best practices and troubleshooting.

The DevOps Engineer supports software development teams across development platforms, compilation, deployment, monitoring, and the SDLC. Responsibilities include managing deployments, creating release structures, maintaining CI/CD processes, facilitating development and infrastructure team communication, researching new technologies, developing proofs of concept, and documenting systems and processes. The role requires enterprise IT engineering experience, systems administration knowledge, monitoring expertise, and familiarity with automation, containers, testing, and version control.

Own reliability, monitoring, and incident response for AI infrastructure; build automation and CI/CD tooling; manage Kubernetes/Docker production workloads; partner with infrastructure, security, and compliance; improve observability and documentation; develop internal full‑stack tooling in Go or Python.

Build and maintain CI/CD pipelines, cloud infrastructure, Terraform automation, database systems, monitoring, and observability on Google Cloud. Support reliability, security, compliance, incident response, and shared on-call operations while applying backend engineering expertise to production services. The role manages PostgreSQL, Redis, BigQuery, Bigtable, and Firestore environments and contributes to disaster recovery and operational tooling.

Owns enterprise virtualization, compute, storage, Windows and Linux systems, identity services, monitoring, backup, and disaster recovery. Diagnoses complex infrastructure problems across hypervisor, operating system, storage, and network layers; develops PowerShell, PowerCLI, and Bash automation; improves resilience and observability; supports database infrastructure; and helps introduce container workloads. The role also includes mentoring junior administrators, maintaining documentation and recovery procedures, and collaborating with network, security, database, and application teams.

Architect and operate North’s AWS and multi-cloud infrastructure, establishing IaC, CI/CD, security, observability, and disaster-recovery standards. Build AIOps capabilities including anomaly detection, predictive scaling, self-healing remediation, AI-assisted tooling, and cloud cost optimization. Collaborate with DevOps, SRE, Product Engineering, and InfoSec teams to deliver resilient, compliant, highly scalable platforms.

Lead the design, delivery, and production adoption of integrations-platform features, including SDKs, agents, job pipelines, developer tooling, and related services. Drive AI-enabled integration authoring, reliability, scalability, observability, and cross-platform support. Partner across product, platform, and customer teams to translate needs into technical solutions while providing architectural leadership, mentorship, and hands-on guidance across distributed systems and workflow orchestration.

Design and build Go-based control-plane services, CSI drivers, storage integrations, observability tools, and infrastructure automation for Kubernetes AI platforms. Integrate enterprise and scale-out storage, support bare-metal and hybrid provisioning, and deliver declarative Terraform/OpenTofu and GitOps workflows. Architect reliable storage solutions for Kubernetes clusters, air-gapped environments, and sovereign infrastructure, including artifact mirrors and PKI/TLS.

Design, develop, optimize, and debug ultra low-latency C++ streaming systems and media pipelines (WebRTC, GStreamer, RTP). Analyze performance across CPU, memory, networking, and scheduling. Integrate streaming software with platform services across Windows, Linux, QNX, and embedded platforms. Define KPIs for networking and streaming quality and troubleshoot across software, OS, platform, and hardware boundaries.

Build and maintain secure cloud-native platforms supporting Navy application teams. Integrate, package, deploy, and operate applications across Kubernetes and UDS environments; develop infrastructure as code, CI/CD pipelines, Helm configurations, and automation. Troubleshoot application and platform issues, implement security controls and vulnerability remediation, support observability, collaborate across technical teams, and contribute to platform strategy. The role also involves mentoring engineers and supporting Kubernetes distributions including EKS and RKE2.

Designs, engineers, deploys, commissions, and supports ROADM-based DWDM and OTN optical transport networks supporting 100G/400G services and IP/MPLS core connectivity. Responsibilities include optical link engineering, capacity planning, equipment specifications, vendor evaluation, automation, fault isolation, service provisioning, network turn-up, documentation, and technical mentorship. The role coordinates with architecture, operations, vendors, and fiber providers; participates in on-call support and travels to project sites as required.

Develop and improve embedded graphics and compute drivers, customize products for embedded hardware and real-time operating systems, and profile and optimize drivers and applications. Write and review technical specifications while collaborating on reliable, high-quality safety-critical solutions. The role requires embedded software development, debugging, troubleshooting, and familiarity with graphics APIs, ARINC 653, and safety-critical development practices.

Manage and optimize high-bandwidth, low-latency VFX network infrastructure supporting render farms, storage, cloud rendering, artist collaboration, and remote workstations. Configure AWS Deadline Cloud, troubleshoot Maya and Arnold rendering, build asset-transfer and per-show environment systems, optimize Linux and Windows pipelines, and document architecture and procedures. The role requires strong Python and Bash scripting, networking, storage, systems administration, render-farm, and VFX pipeline expertise.

Lead enterprise solution architecture and modernization of legacy IBM mainframe financial applications. Analyze current-state systems, design cloud-enabled future-state architectures, map business processes, and guide migrations involving COBOL, JCL, CICS, DB2, and VSAM. Provide technical leadership across integration, data migration, interoperability, documentation, testing, and deployment. Collaborate with financial agencies and development teams to implement modern solutions using Java, Spring Boot, APIs, microservices, databases, cloud platforms, and DevSecOps practices.

Own and modernize production infrastructure across DigitalOcean, AWS, Cloudflare, and Linux environments. Responsibilities include database migrations to managed services, managed application runtimes, Cloudflare security and delivery, infrastructure inventory, monitoring, backups, disaster recovery, incident response, runbooks, automation, infrastructure as code, and CI/CD. The role requires hands-on production troubleshooting, documentation, AI-assisted operations, risk management, and real on-call availability.

Zencore seeks a Senior Cloud Engineer to assist clients with Google Cloud transitions, focusing on application modernization and infrastructure as code.

As an Embedded Perception Engineer, you'll develop perception pipelines for autonomous systems, focusing on vision model development, sensor fusion, and optimization on embedded hardware.