Top Remote Linux Jobs in Houston, TX

Performs site reliability engineering for large-scale cloud infrastructure, focusing on application and network performance, reliability, security, scalability, and capacity. Deploys highly available systems, automates cloud service deployments, monitors and troubleshoots services, analyzes logs and events, maintains SLAs, and resolves infrastructure issues. The role requires expertise in microservices, container orchestration, cloud migration, deployment automation, and multiple DevOps technologies.

Analyzes and resolves availability and performance issues in large-scale production and lab environments. Develops automation, monitoring, alerting, log analysis, debugging tools, and systems programming solutions. Collaborates with software development and engineering teams on CI/CD, platform architecture, incident resolution, and operational best practices within an agile SDLC.

Develop and operate Akamai’s Linux-based cloud infrastructure, including bare-metal and virtual machine platforms, kernels, operating systems, and KVM/QEMU virtualization. Build software, automation, observability, and infrastructure enhancements at scale; troubleshoot complex distributed-system issues; collaborate across engineering and operations; mentor team members; and participate in on-call service restoration.

Own production reliability and infrastructure operations for the GrayKey cloud platform. Responsibilities include AWS monitoring, incident response, vulnerability remediation, networking, IAM and Okta administration, EKS and Argo CD operations, backups, recovery testing, Terraform changes, cost optimization, automation, documentation, and compliance support. The role requires independent work during Pacific and Mountain time-zone hours and involves less than 5% travel.

Build and independently deliver complex software features using Ruby on Rails and React. Own technical solutions, clarify requirements, contribute to system design, and support deployments and production operations. Optimize performance, reliability, security, and scalability while maintaining databases, AWS infrastructure, web servers, monitoring, and CI/CD pipelines. Implement SSO integrations and compliance requirements, troubleshoot Linux environments, evaluate technologies, and mentor less experienced engineers.

Build and maintain edge software that controls pharmacy automation hardware. Responsibilities include hardware communication over CAN, serial, USB, and Ethernet; fill-sequencing state machines; versioned contracts with microcontrollers and vision systems; and fail-closed behavior. The role requires production C, C++, or Rust on Linux, hardware-bus debugging, real-time orchestration, and embedded-device integration. Preferred experience includes industrial ARM/x86 platforms, field diagnostics, embedded Linux, NVIDIA Jetson, and robotics or medical devices.

Administer and optimize production, staging, and development databases across SQL and NoSQL platforms. Responsibilities include database installation, configuration, architecture, performance monitoring, security, backups, disaster recovery, high availability, failover, capacity planning, troubleshooting, and data recovery. The role supports ETL pipelines and reporting, collaborates with developers and data modelers, provides technical mentorship, and manages database infrastructure in Linux and AWS environments for EPA applications.

Architect, deploy, and support AWS-focused multi-cloud environments across AWS, Azure, and GCP. Manage Okta identity federation, certificates, DNS, networking, governance, security controls, and IaC-based CI/CD pipelines. Serve as a Tier 3 escalation point, validate cloud service delivery, document solutions, and partner with customers and internal engineering, cybersecurity, and operations teams. The role requires onsite or remote work with regular travel and an active Top Secret clearance.

Build and operate the infrastructure supporting Legion, including CI/CD pipelines, infrastructure as code, Kubernetes environments, observability, and deployments across cloud, on-premises, and customer environments. Improve developer tooling, support secure and compliant platform operations, and assist with deployments to customer and test sites. The role requires strong Linux, networking, scripting, containerization, and production infrastructure experience, with potential support for air-gapped and mission-critical systems.

Develop and optimize Firefox performance across Windows, Android, Linux, and macOS. Write code, tests, prototypes, and tooling; profile and diagnose bottlenecks; improve benchmarks; and lead performance initiatives. Collaborate across engineering teams, educate developers, drive projects to completion, own browser performance areas, and contribute to the team’s technical roadmap.

Own the architecture, implementation, and operational excellence of major Azure Boost DPU software components. Develop low-level systems software spanning operating systems, virtualization, networking, storage, device management, and hardware interfaces. Lead complex cross-functional initiatives, optimize hyperscale performance and reliability, resolve system-level issues, establish engineering practices, influence platform architecture, and mentor engineers across Azure infrastructure teams.

Lead the migration and maintenance of complex data flows into AWS cloud environments. Develop infrastructure as code and cloud service logic using Python, Ansible, CloudFormation or CDK, while supporting CI/CD pipelines, file transfer and messaging services, monitoring, troubleshooting, performance tuning, and documentation. Coordinate integration requirements with stakeholders and maintain secure, compliant federal cloud solutions.

Deploys, maintains, and troubleshoots Comet across Kubernetes and cloud environments for customers. Leads infrastructure deployments, resolves complex issues involving networking, databases, and application configuration, and improves Helm charts, Terraform, automation, tooling, and documentation. The role requires strong customer-facing communication, production troubleshooting, cloud infrastructure expertise, and the ability to collaborate across engineering, support, and customer success teams.

Lead architecture and hands-on development for Microsoft's virtualization platform, focusing on hypervisor and VMM capabilities. Design, implement, and optimize systems software across Windows, Linux, macOS, Azure, and containers. Improve performance, security, reliability, testing, and operational readiness; diagnose low-level hardware/software issues; enable virtualization on new silicon; mentor engineers; and influence platform strategy across teams and hardware partners.

Build full-stack software, backend services, APIs, frontend experiences, and shared integration capabilities supporting AI initiatives across Keeper’s products. Integrate LLMs, agents, and tool-calling workflows into secure production environments while maintaining zero-knowledge principles. Troubleshoot cross-product systems, improve reliability and observability, contribute to architecture and code reviews, automate testing and CI/CD, and collaborate with AI, product, and engineering teams.

Investigates customer escalations, performs root-cause analysis across complex Java codebases, and delivers production-ready fixes. Uses AI-assisted tools for log analysis, defect diagnosis, code remediation, test generation, and validation. Communicates issue status, documents resolutions, maintains knowledge content, supports teammates, and contributes to product enhancements. The role includes periodic after-hours and weekend pager coverage.

Design, develop, test, deploy, and maintain full‑stack enterprise applications in AWS. Build front-end components (Angular/TypeScript), backend services (Java/Node.js), REST APIs, integrations, and relational database solutions. Troubleshoot production issues, participate in architecture and design, support CI/CD and deployment, conduct code reviews, mentor developers, and collaborate with Product, QA, and DevOps in Agile teams.

Lead design, development, and operation of highly available AKS Resource Provider and control-plane services. Drive cluster lifecycle, upgrades, networking, security, scalability, observability, resiliency, and incident prevention for large-scale distributed cloud systems. Collaborate across Azure engineering teams, lead architectural decisions, improve tooling and automation, troubleshoot production issues, and mentor engineers while supporting reliable Kubernetes workloads across cloud and edge environments.

Develop, implement, and test embedded software, firmware, and edge solutions for industrial automation, networking, and real-time platforms. Responsibilities span architecture, implementation, integration, verification, test automation, cybersecurity, and transitioning research prototypes into products. The role collaborates with GE Vernova teams, suppliers, government agencies, national laboratories, and universities on energy and government-funded R&D programs. Candidates may also contribute to FPGA development, industrial protocols, real-time systems, and technical proposals and reports.

Leads multidisciplinary design, analysis, and optimization for unmanned aircraft, missiles, interceptors, and munitions. Integrates aerodynamics, structures, propulsion, GNC, CAD, CFD, FEA, and trajectory models into automated optimization workflows. Owns MDAO tool architecture, validation, documentation, and development pipelines; conducts trade studies, correlates models with test data, supports proposals, presents design reviews, and mentors engineers. Requires experience taking MDAO from conceptual sizing through flight testing and fielded hardware.

Leads the design and implementation of secure, compliant AWS environments, including GovCloud, multi-account landing zones, networking, containers, infrastructure as code, CI/CD, and hybrid connectivity. Translates an existing GCP platform into AWS while maintaining security-control parity and supporting FedRAMP, NIST, CMMC, and ATO requirements. The role also troubleshoots complex infrastructure issues, develops technical documentation, supports continuous monitoring and remediation, and mentors engineers while collaborating with customers and cross-functional teams.

Build and maintain Python services, REST APIs, batch jobs, shared libraries, claims workflows, and internal applications. Develop maintainable, unit-tested code; write SQL for MySQL databases; participate in design, code review, deployment, and production support; and collaborate across departments. The role also involves handling sensitive healthcare data, using AI-assisted development tools responsibly, and working in a regulated pharmacy benefits domain.

Design and develop scalable C++ software for endpoint state and control across Windows, macOS, and potentially Linux. Build reliable, multi-process systems that enforce endpoint behavior, manage local state, support IPC, and operate across millions of devices. Responsibilities include implementing features, improving platform performance, writing design documents, defining architecture and IPC contracts, and making technical decisions in an evolving, sparsely documented environment.

Own the durability, recoverability, performance, and security of a production PostgreSQL/RDS fleet supporting a live trading platform. Lead replication, failover, backup and restore, disaster-recovery drills, data lifecycle management, access control, encryption, and database observability. Investigate engine-level performance issues including WAL contention, replica lag, bloat, and locking. Build infrastructure and AI-assisted operational tooling while documenting runbooks and reliability decisions.

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.