Top Senior Python Jobs in Houston, TX

Lead design and standardization of enterprise NAS architecture; drive vendor evaluations, resiliency and performance engineering, automation, and observability; partner with compute, network, cloud, application, and security teams; support SRE escalations and root-cause remediation; adopt AI-enabled workflows to improve documentation and automation.

Design, develop, and maintain secure, production-grade data-intensive applications and platforms. Build reusable frameworks, leverage enterprise AI-assisted development tools responsibly, collaborate across teams, and ensure scalability, observability, and operational stability for a global KYC and risk data platform.

Lead and deliver secure, scalable data and AI/ML systems (including LLM-based and agentic architectures) for enterprise KYC and risk platforms. Define architecture and engineering standards, mentor engineers, drive AI-assisted development adoption, ensure observability, governance, and operational stability across cloud-native data platforms.

Lead and mentor data engineering teams to design, build, and operate a secure, scalable KYC and risk-assessment data platform. Develop production code for data-intensive systems, set architecture and engineering standards, govern LLM-based applications and agentic AI, drive adoption of AI-assisted development practices, ensure observability, security, and cloud-native operations, and advise cross-functional stakeholders.

Lead SRE responsible for driving reliability culture, conducting resiliency design reviews, leading incident response, improving service levels with data-driven analytics, adopting AI-assisted SRE workflows, mentoring engineers, and documenting knowledge across the organization.

Administers and evolves Microsoft 365, Azure, identity, networking, compute, SharePoint, OneDrive, containers, endpoint management, and VMware environments. Builds automation, monitoring, backup, disaster recovery, and business continuity capabilities while supporting security and cross-platform AWS workloads. Serves as an escalation point for architecture and technical issues, develops Power Platform solutions and dashboards, and communicates project progress and risks to stakeholders.

Lead functional and system safety engineering for a Level 4 autonomous trucking platform. Responsibilities include hazard analysis, safety requirements, safety cases, risk assessments, FMEA, fault-tree and STPA analyses, ODD evaluation, verification and validation strategy, supplier coordination, launch readiness, incident analysis, and safety governance. The role partners across autonomy, hardware, software, vehicle integration, operations, fleet, and testing teams to ensure safety risks are identified, mitigated, traceable, and supported by evidence for deployment decisions.

Lead an agile team to design, build, and deliver cloud-native, microservices-based applications. Drive adoption of AI-assisted engineering, ensure scalable, resilient, secure solutions, mentor engineers, and resolve production issues.

Design, build, test, and operate production-grade, secure, and scalable software and services. Partner with customers to translate requirements into technical designs, drive engineering best practices (CI/CD, testing, observability), deliver end-to-end solutions, lead technical workstreams, and apply AI/LLM approaches where appropriate to produce production-ready outcomes.

Lead the design, development, integration, verification, and testing of mission-critical communications software for spacecraft. Provide technical and team leadership, analyze requirements, oversee C/C++ and Python development, manage software risks, and establish validation procedures. Support embedded systems, RF communications, data protocols, software-defined radios, encryption, real-time operating systems, and avionics integration. Maintain technical documentation, coordinate sprint planning, and manage resources across multiple projects.

Develops high-fidelity fluid, thermal, and electrical models for EVA spacesuit performance analysis and verification. Responsibilities include building models in NASA Trick and GUNNS, debugging and validating simulations against test data, assessing uncertainty and credibility, conducting trade studies, verifying system requirements, and integrating models into larger simulation frameworks. The role applies systems engineering principles, documents verification activities, communicates technical progress, and supports agile project execution.

Leads the design, development, integration, testing, and verification of navigation input/output software for aerospace systems. Provides technical and team leadership, analyzes requirements, oversees C/C++ and Python implementation, manages real-time GN&C performance, mitigates risks, maintains technical documentation, and coordinates resources across multiple projects. The role also requires collaboration with multidisciplinary teams and experience integrating navigation sensors, actuators, avionics, embedded software, and I/O protocols.

Defines and maintains Axiom Station’s technical architecture across hardware, software, and operations. Develops system requirements, functional architectures, trade analyses, interfaces, and technical deliverables using MBSE and SysML. Coordinates subsystem integration, risk management, verification, configuration control, design reviews, and mission operations alignment. Supports agile project management, integration and testing, stakeholder communication, and NASA lifecycle milestones.

Lead design and build of production-ready cloud and AI systems, prioritize security and reliability, ship solutions quickly using modern engineering practices, collaborate with cross-functional teams, mentor engineers, drive customer adoption, and deliver reusable assets and end-to-end complex deliveries.

Designs, develops, and scales enterprise process automation, custom applications, APIs, integrations, AI agents, and intelligent workflows. Partners with architects and business stakeholders to translate requirements into scalable Microsoft-based solutions. Responsibilities include integrating ERP, CRM, CPQ, databases, and cloud platforms; troubleshooting and optimizing software; participating in architecture reviews; documenting solutions; evaluating emerging technologies; and supporting governance, security, and compliance.

Designs and leads deployment of resilient enterprise network solutions across data centers, cloud, WAN, SD-WAN, LAN, wireless, voice, security, and application delivery environments. Translates business, security, compliance, and operational requirements into scalable designs and implementation plans. Performs complex troubleshooting, automation, observability, governance, documentation, and operational handoffs. Provides technical leadership, mentors engineers, coordinates delivery teams, manages concurrent projects, and partners with architecture, security, vendors, managed services, and business stakeholders.

Support high-priority issues for major Juniper Networks customers using MX, PTX, and ACX products. Diagnose and resolve complex routing, switching, and security problems across large IP networks, restore services, manage escalations, and build customer relationships. Collaborate with technical and service teams on knowledge transfer, product improvements, documentation, and customer communications. Maintain expertise in Juniper technologies and contribute to improved support quality and customer satisfaction.

Develops and maintains integrations between student information systems and instructional platforms, including LMS and assessment tools. Builds scripts and ETL workflows for student data delivery, validates mappings, monitors integration jobs, troubleshoots failures, and optimizes performance. Documents schemas and processes, supports rostering and synchronization, partners with academic teams and vendors, and contributes to architecture planning while ensuring FERPA and district privacy compliance.

The SDN Automation Engineer designs, deploys, and manages software-defined networking solutions, focusing on automation, scalability, and operational efficiency in enterprise and cloud environments.

Design, implement, and tune real-time motor and actuator control systems for humanoid robots. Develop embedded C/C++ firmware on microcontrollers or DSPs, model actuator dynamics, and apply PID, cascaded-loop, feedforward, and state-observer techniques. Bring up and characterize hardware, debug control issues with laboratory instrumentation, and collaborate with electrical, mechanical, autonomy, motion-planning, and software teams. Document control architectures and tuning procedures while supporting reliable, safe robot performance.

Validates HPE ProLiant servers for telecom and carrier-grade requirements, including networking, memory, storage, operating systems, performance, stress, thermal, power, and NEBS testing. Builds automation scripts, writes and executes test plans, debugs integration issues, and develops solutions. Leads project teams, collaborates with internal and external engineering partners, communicates project status, and mentors less-experienced engineers.

Oversee and assess Orion spacecraft GNCP flight software across requirements, architecture, development, integration, verification, validation, safety, and certification. Review C++ code, identify software risks, coordinate defect resolution, support mission console operations during Artemis missions, and provide technical input for flight-readiness recommendations. Collaborate with NASA, prime contractors, and vehicle systems engineering teams in a human-rated spacecraft environment.

Design and standardize segmented OT/SCADA networks for AI data center UPS and mission-critical energy projects. Responsibilities include zoning, routing, switching, redundancy, VPNs, IT/OT separation, DMZs, firewalls, dataflows, industrial protocol support, equipment selection, documentation, commissioning, and security architecture aligned with IEC 62443. The role collaborates with engineering, IT, cloud, electrical, vendors, and procurement teams, and requires occasional site travel for commissioning and factory acceptance testing.

Designs and executes validation strategies for rack-scale HPC and AI systems across hardware, firmware, OS, storage, networking, and management interfaces. Troubleshoots and drives issue resolution, supports Linux certification, coordinates automated and manual testing across global teams, and mentors test staff to improve release readiness and validation efficiency.

Design and implement autonomy and behavior coordination algorithms for industrial humanoid robots. Integrate manipulation, locomotion, and perception capabilities; develop safe, reactive plan execution using classical control and learned policies; build data curation, synthetic data generation, behavior evaluation, benchmarking, and regression-testing pipelines. The role supports simulation and deployment at live industrial sites and requires expertise in robotics autonomy, world models, NVIDIA Cosmos, and Isaac Sim.