Top Senior Linux Jobs in Houston, TX

Provides Level 3 customer support for HPE Cray Programming Environment software. Analyzes, reproduces, isolates, debugs, and resolves complex issues; develops workarounds; escalates unresolved problems to HPE R&D or external partners; performs pre-release testing; documents issue resolution; supports customers after hours; and mentors less-experienced staff.

Lead and support reliability, performance, and operational integrity of equities electronic trading systems. Provide hands-on DevOps/SRE production support for FIX connectivity, Linux troubleshooting, Grafana observability, Kafka on AWS, incident triage, root cause analysis, automation via Python and Bash, and cross-team collaboration including investigating C++ components.

Build and manage automated workflows that improve business and technology productivity within a DevSecOps infrastructure team. Responsibilities include addressing complex technical problems, mentoring team members, maintaining high-quality project standards, supporting CI/CD and cloud infrastructure, automating deployment tasks, and developing client relationships. The role requires three years of technology experience and familiarity with cloud, containers, Linux, DevOps toolchains, monitoring platforms, and test automation.

Leads software engineering for equity derivatives risk management, designing, developing, troubleshooting, and reviewing secure Java applications. Builds resilient microservices, analyzes JVM and system performance, supports databases, messaging, cloud platforms, and full software development lifecycle tools. Drives automation, operational stability, and responsible adoption of AI-assisted engineering practices, including validation for security, correctness, and performance. Leads architectural evaluations with vendors and internal teams.

Own and improve Dropbox’s Windows endpoint platform, including provisioning, application delivery, patching, compliance, security configuration, troubleshooting, fleet health, and automation. Build code-managed endpoint operations using Intune, FleetDM, osquery, infrastructure-as-code, and GitOps practices. Lead cross-functional improvements, establish reliable deployment workflows, mentor engineers, review code and designs, and document reusable operational practices.

Develop and operate a large-scale internal cloud management platform. Build APIs, UIs, CI/CD pipelines, and developer productivity tools using Go and TypeScript. Maintain Temporal and Argo Workflows pipelines, integrate development tooling, improve SDLC efficiency, support SOC 2 compliance, and collaborate with engineering, security, infrastructure, and SRE teams. Participate in on-call operations and apply AI technologies to improve workflows and decision-making.

Lead backend engineering for a high-performance, data-intensive SaaS platform. Responsibilities include defining technical vision, designing scalable and highly available systems, executing technical projects, participating in architecture decisions, monitoring and optimizing services, improving CI/CD and infrastructure, conducting postmortems, mentoring engineers, documenting practices, and aligning with partner teams.

Own complex software systems and critical workflows end-to-end while ensuring reliability, performance, security, and maintainability. Lead architectural decisions, mentor engineers, manage incident response, improve system health, and communicate effectively with technical and non-technical stakeholders. The role requires extensive Ruby on Rails, AWS or equivalent cloud infrastructure, Linux production operations, frontend development, relational databases, testing, CI/CD, and observability experience.

Develop and operate CrowdStrike’s internal cloud management platform and mission-critical CI/CD pipelines. Build APIs and UIs using Go and TypeScript, improve developer productivity, integrate tooling, maintain cloud-native infrastructure, and support secure, highly available software delivery systems. Collaborate with development, infrastructure, security, and SRE teams, ensure SOC2-aware processes, and participate in on-call operations.

Lead HPC and AI benchmarking across CPU, GPU, networking, memory, and storage platforms. Analyze scientific, engineering, LLM, training, inference, and I/O workloads; identify bottlenecks; and optimize applications, frameworks, libraries, compilers, runtimes, and system software. Apply parallel computing, GPU acceleration, profiling, and memory and I/O optimization while translating findings into customer-focused recommendations.

Leads end-to-end design and lifecycle management of hardware platforms supporting internal cloud and PSI environments. Translates requirements into server, board, rack, cooling, and power designs; coordinates OEM, ODM, and JDM suppliers; manages milestones, risks, BOMs, validation, production release, and legacy retirement. Bridges hardware and software stakeholders while applying Linux, scripting, AI-assisted engineering, and infrastructure standards to deliver reliable, secure, auditable solutions.

Leads global network infrastructure operations, resolving major incidents and complex problems across routing, switching, data center, security, load balancing, and related domains. Serves as a senior escalation point, coordinates incident bridges, manages infrastructure capacity and lifecycle support, advises stakeholders, mentors engineers, documents procedures, and drives service reliability and operational improvements. Preferred work includes multicast, low-latency networking, automation, Linux, version control, and regulated-industry controls.

Maintains and troubleshoots server, storage, networking, cabling, and power hardware across a large-scale production data center fleet. Writes Python automation scripts, reviews logs and alerts, performs diagnostics, supports deployments, builds hardware health dashboards, coordinates with DevOps, supply chain, and vendors, and assists with hardware evaluation and reliability improvements. Requires on-call availability and travel to data center sites.

Develop and maintain high-performance networking platform software for switch and NIC Linux systems. Responsibilities include custom ASIC driver development, API creation, scalable and resilient systems programming, testing, debugging, documentation, and integration. The role leads software engineering projects, collaborates with internal and external development teams, contributes to architecture decisions, and mentors less-experienced engineers.

Design, operate, and scale SailPoint’s AWS-based Kubernetes infrastructure and service mesh for a global, mission-critical SaaS platform. Responsibilities include cluster architecture, networking, security, GitOps, CI/CD, observability, capacity planning, incident response, compliance, and platform standards. The role influences engineering teams globally, participates in 24x7 on-call support, leads service mesh strategy, and improves reliability, performance, deployment efficiency, and operational practices.

Owns complex hybrid-cloud infrastructure operations across data centers, private and public clouds. Administers Linux and Windows systems, virtualization, networking, storage, backup, security, and monitoring. Develops production automation with Ansible, Terraform, Bash, Python, Git, and APIs; leads incident response, root-cause analysis, infrastructure changes, migrations, and modernization. Reviews engineering work, improves operational processes, documents standards, supports escalations, and provides technical guidance. The role includes on-call support, after-hours incident response, and up to 10% travel.

Administer and optimize enterprise SAP environments, providing technical support for upgrades, performance monitoring, troubleshooting, system stability, and the transition to S/4HANA. Collaborate with infrastructure, networking, database, and SAP teams; support disaster recovery readiness and documentation; improve operational reliability; and participate in an on-call rotation for production issues.

Designs, implements, and manages AWS infrastructure and Infrastructure as Code automation. Partners with application engineering, quality, security, and compliance teams to deliver reliable platform solutions. Owns platform stability, observability, incident response, security best practices, and zero-downtime deployments. Participates in on-call rotations, uses metrics for decision-making, and supports application architecture decisions while continuously improving DevOps processes and automation.

Lead the technical direction and architecture of the Foundations platform team, owning authentication, authorization, SSO, secrets management, tenancy, and core platform services. Design APIs, drive services through launch, make technical decisions, establish engineering standards, and mentor engineers without formal management authority. Partner with engineering and product leaders to align execution with priorities.

Build and improve Azure Kubernetes Service capabilities for Linux and Windows containers. Develop distributed cloud infrastructure, automation, observability tooling, and reliability improvements at global scale. Support AI-native infrastructure, including GPU orchestration, model deployment, inference, and platform operations. Accelerate engineering workflows, prevent production incidents, integrate AI tools, and contribute to Kubernetes and cloud-native platform innovation.

Design, deploy, secure, automate, and operate enterprise MongoDB platforms across on-premises infrastructure and MongoDB Atlas. Responsibilities include replica sets, sharding, high availability, disaster recovery, backup and recovery, performance tuning, monitoring, security controls, migrations, incident response, and lifecycle management. The role partners with application, cloud, infrastructure, security, and SRE teams; develops operational standards and automation; supports mission-critical environments; and provides technical leadership and mentorship.

Lead development of AI infrastructure for large-scale GPU training and inference. Design workload scheduling, serving, orchestration, resource governance, failover, and multitenant Kubernetes platforms. Build reliable C# and Go services, optimize GPU fleet performance, and drive observability, diagnostics, and production operations. Provide technical leadership, architectural direction, mentoring, and cross-team collaboration across cloud infrastructure, hardware, networking, and AI deployment teams.

Provide L2/L3 production support for enterprise B2B integration and managed file transfer platforms. Administer, configure, deploy, monitor, patch, and troubleshoot Axway and related infrastructure, supporting partner onboarding, certificates, connectivity, incidents, changes, releases, disaster recovery, and high availability. Lead major incident restoration, root cause analysis, compliance activities, automation, and continuous improvement while coordinating customers, vendors, and global teams. Participate in a mandatory 24x7 on-call rotation and mentor junior engineers.

Lead the integration and production readiness of large-scale GPU clusters, including bare-metal provisioning, Linux and GPU configuration, Kubernetes and Slurm validation, performance benchmarking, acceptance testing, and Tier 3 operational support. Diagnose hardware, firmware, driver, networking, and distributed workload issues; optimize cluster reliability and performance; lead root-cause analysis, vendor escalations, upgrades, automation, documentation, and customer handoff activities.

Coordinate and execute software deployments across staging, testing, and production environments. Build and maintain CI/CD pipelines, automate deployment processes, troubleshoot failures, manage cloud configurations, perform post-deployment testing, and maintain deployment documentation and tooling. Collaborate with development, product, and operations teams to deploy and sustain mission-critical technology in DoD network environments while ensuring security, operational compliance, and deployment readiness.