Top Linux Jobs in Houston, TX

Leads design, implementation, operation, and production support for scalable corporate technology platforms. Responsibilities include software and data solutions, batch processing, automation, observability, cloud operations, incident and problem management, AI agent and MCP capabilities, secure SDLC practices, roadmap execution, mentoring, and responsible adoption of AI-assisted engineering tools.

Manage infrastructure reliability and performance for internal business services. Implement site reliability engineering and DevSecOps practices, monitor system health, automate infrastructure management with PowerShell, troubleshoot enterprise environments, remediate vulnerabilities, and support Relativity, Nuix, Azure, Windows, Linux, and SQL Server. Collaborate with stakeholders and vendors, maintain technical documentation, apply ITIL incident and change management, solve complex infrastructure issues, and mentor junior team members.

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.

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.

Leads a DevOps engineering team while designing and maintaining CI/CD pipelines, cloud infrastructure, monitoring, security controls, infrastructure as code, containerized microservices, and disaster recovery processes. The role focuses on improving developer efficiency, system reliability, scalability, performance, and cost-effectiveness. Responsibilities include incident troubleshooting, root-cause analysis, stakeholder communication, cross-functional collaboration, and participation in on-call support.

The Senior Site Reliability Engineer ensures SaaS platforms remain reliable, performant, secure, and scalable. Responsibilities include building cloud infrastructure, implementing monitoring and alerting, automating operational runbooks and deployments, managing Infrastructure as Code, applying AI-powered observability and remediation, supporting Kubernetes and cloud networking, and leading incident triage and root-cause analysis during 24/7 on-call rotations.

Build, monitor, and scale resilient cloud infrastructure across multi-region and multi-cloud environments. Develop Kubernetes controllers and infrastructure tools using Go, Python, Ruby, and Terraform; maintain Datadog observability; diagnose complex production performance and reliability issues; automate failover and capacity management; and collaborate with engineering teams on architecture and infrastructure improvements.

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.

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.

Develop and architect a cross-platform C++ endpoint patching agent for Windows, macOS, and Linux. Responsibilities include code reviews, mentoring engineers, improving development processes, collaborating across patching teams, and translating product needs into resilient technical designs. The role involves system-level APIs, patch installation and rollback logic, embedded databases, and client-server integration.

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.

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.

Provides architectural and technical leadership for institutional exchange systems, including matching engines, order management, market data, risk, and unified trading platforms. Leads ultra-low-latency distributed-system design, cross-team technical alignment, reliability standards, incident response, and multi-quarter initiatives. Maintains hands-on engineering contributions while mentoring senior engineers and developing technical leadership across teams.

Owns and optimizes resilient, ultra-low-latency network and physical data-center infrastructure for institutional trading across cloud and on-premises environments. Designs routing, multicast, segmentation, firewall, VPN, telemetry, and automation systems. Leads production changes, incident response, failover testing, maintenance, and on-call support for 24/7 trading platforms. Mentors engineers and partners with SRE, product, and trading-system teams to improve reliability and developer velocity.

Own Tier 3 escalations and incident response for complex customer issues involving a cybersecurity platform. Investigate distributed systems, reproduce defects, coordinate resolutions with engineering and product teams, and build Datadog observability dashboards, monitors, and alerts. Create runbooks, troubleshooting guides, RCAs, and postmortems; mentor support staff; identify recurring failure patterns; communicate with customers; and participate in an application-layer on-call rotation.

Build and operate low-latency, event-sourced trading infrastructure for Coinbase’s institutional exchange, including matching engines, order management, risk, market data, and funding systems. Own reliability, correctness, incident response, and failover for high-throughput 24/7 production systems. Drive technical designs, collaborate cross-functionally on milestones, and write highly tested performance-critical backend code in Java, C++, or Go.

Administer and improve global block, file, and object storage across on-premises and cloud environments. Manage performance, capacity, resiliency, replication, backup, disaster recovery, incident response, root-cause analysis, and operational automation. Build observability and AI-assisted AIOps workflows with validation, guardrails, auditability, and human review. Maintain runbooks, SLOs, SLIs, error budgets, and on-call readiness while partnering with infrastructure and application teams.

Administer and improve enterprise block, file, and object storage across on-premises and cloud environments. Responsibilities include performance and capacity management, incident response, root-cause analysis, automation, backup and recovery, resiliency testing, observability, runbook development, and on-call operations. The role also implements AI-assisted infrastructure analysis and AIOps capabilities with strong validation, security, auditability, and human oversight while partnering with infrastructure, network, operating system, database, and application teams.

Design, implement, optimize, and maintain scalable hybrid multi-cloud Kubernetes platforms operating at massive scale. Integrate open-source technologies, improve platform reliability, provide technical direction, mentor engineers, and participate in on-call support. The role requires expertise managing large Kubernetes clusters, observability tools, Linux environments, public clouds, custom data centers, and AI-enabled workflow improvements.

Develop and maintain a C++ automation QA framework for validating data center storage solutions. Create automated tests, improve framework capabilities, analyze specifications and source code, debug product and test failures, maintain testing hardware and software, and collaborate with QA and development teams using Agile practices.

Provides system administration for Windows and Linux lab environments supporting NASA crewed spaceflight analysis. Responsibilities include managing wired and wireless networks, applying security updates, troubleshooting system issues, monitoring system health, assisting users, and developing operational best practices across multiple laboratories.

Leads development of resilient, scalable Java and Python services, enterprise integrations, and AI-assisted engineering practices. Architects microservices, Kubernetes deployments, messaging, observability, and backend infrastructure. Builds ML pipeline and feature-store capabilities for fraud and risk models, operationalizes models, and creates agentic AI services with production guardrails, monitoring, governance, and auditability. Mentors engineers, coordinates delivery across stakeholders, and ensures security, performance, testing, and operational requirements.

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.